Mikhail Tikhonov

Mikhail Tikhonov

Washington University in St. Louis

H-index: 15

North America-United States

About Mikhail Tikhonov

Mikhail Tikhonov, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Theoretical physics, Information theory, Genetic regulation, Microbial ecology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Functional phases define the response of the soil microbiome to environmental change

Emergent predictability in microbial ecosystems

Linear-regression-based algorithms can succeed at identifying microbial functional groups despite the nonlinearity of ecological function

Statistically learning the functional landscape of microbial communities

Global patterns in gene content of soil microbiomes emerge from microbial interactions

Global epistasis on fitness landscapes

Metabolomic rearrangement controls the intrinsic microbial response to temperature changes

Improving the accuracy of bulk fitness assays by correcting barcode processing biases

Mikhail Tikhonov Information

University

Position

___

Citations(all)

3692

Citations(since 2020)

2718

Cited By

2122

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

16

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Mikhail Tikhonov Skills & Research Interests

Theoretical physics

Information theory

Genetic regulation

Microbial ecology

Top articles of Mikhail Tikhonov

Title

Journal

Author(s)

Publication Date

Functional phases define the response of the soil microbiome to environmental change

bioRxiv

Kiseok Keith Lee

Siqi Liu

Kyle Crocker

David R Huggins

Mikhail Tikhonov

...

2024/3/17

Emergent predictability in microbial ecosystems

bioRxiv

Jacob Moran

Mikhail Tikhonov

2024

Linear-regression-based algorithms can succeed at identifying microbial functional groups despite the nonlinearity of ecological function

bioRxiv

Yuanchen Zhao

Otto X Cordero

Mikhail Tikhonov

2024

Statistically learning the functional landscape of microbial communities

Nature Ecology & Evolution

Abigail Skwara

Karna Gowda

Mahmoud Yousef

Juan Diaz-Colunga

Arjun S Raman

...

2023/11

Global patterns in gene content of soil microbiomes emerge from microbial interactions

bioRxiv

Kyle Crocker

Kiseok Keith Lee

Milena Chakraverti-Wuerthwein

Zeqian Li

Mikhail Tikhonov

...

2023/6/1

Global epistasis on fitness landscapes

Juan Diaz-Colunga

Abigail Skwara

Karna Gowda

Ramon Diaz-Uriarte

Mikhail Tikhonov

...

2023/5/22

Metabolomic rearrangement controls the intrinsic microbial response to temperature changes

bioRxiv

Benjamin D Knapp

Lisa Willis

Carlos Gonzalez

Harsh Vashistha

Joanna Jammal Touma

...

2023/7/24

Improving the accuracy of bulk fitness assays by correcting barcode processing biases

bioRxiv

Ryan Seamus McGee

Grant Kinsler

Dmitri Petrov

Mikhail Tikhonov

2023/11/2

Top-down and bottom-up cohesiveness in microbial community coalescence

Proceedings of the National Academy of Sciences

Juan Diaz-Colunga

Nanxi Lu

Alicia Sanchez-Gorostiaga

Chang-Yu Chang

Helen S Cai

...

2022/2/8

Defining Coarse-Grainability in a Model of Structured Microbial Ecosystems

Physical Review X

Jacob Moran

Mikhail Tikhonov

2022/5/16

A simple regulatory architecture allows learning the statistical structure of a changing environment

Elife

Stefan Landmann

Caroline M Holmes

Mikhail Tikhonov

2021/9/7

Functional biology in its natural context: A search for emergent simplicity

Elife

Joy Bergelson

Martin Kreitman

Dmitri A Petrov

Alvaro Sanchez

Mikhail Tikhonov

2021/6/7

Improve it or lose it: Evolvability cost of competition for expression

Physical Review E

Jacob Moran

Devon Finlay

Mikhail Tikhonov

2021/6/4

A model for the interplay between plastic tradeoffs and evolution in changing environments

Proceedings of the National Academy of Sciences

Mikhail Tikhonov

Shamit Kachru

Daniel S Fisher

2020/4/3

Beyond RG: from parameter flow to metric flow

arXiv preprint arXiv:2011.12420

Charlotte Strandkvist

Pavel Chvykov

Mikhail Tikhonov

2020/11/23

See List of Professors in Mikhail Tikhonov University(Washington University in St. Louis)

Co-Authors

H-index: 86
Ned S. Wingreen

Ned S. Wingreen

Princeton University

H-index: 77
Michael P. Brenner

Michael P. Brenner

Harvard University

H-index: 62
Anton Kapustin

Anton Kapustin

California Institute of Technology

H-index: 45
Remi Monasson

Remi Monasson

École Normale Supérieure

H-index: 45
Daniel Segrè

Daniel Segrè

Boston University

H-index: 38
Pankaj Mehta

Pankaj Mehta

Boston University

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