Tim Hempel

About Tim Hempel

Tim Hempel, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Freie Universität Berlin,

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

A community effort in SARS‐CoV‐2 drug discovery

A simple reconstruction method to infer nonreciprocal interactions and local driving in complex systems

Markov Field Models: scaling molecular kinetics approaches to large molecular machines

Studying Large-Scale Behavioral Differences in Auschwitz-Birkenau with Simulation of Gendered Narratives

Deep learning to decompose macromolecules into independent Markovian domains

Deeptime: a Python library for machine learning dynamical models from time series data

Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes

Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity

Tim Hempel Information

University

Position

___

Citations(all)

474

Citations(since 2020)

474

Cited By

62

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Top articles of Tim Hempel

A simple reconstruction method to infer nonreciprocal interactions and local driving in complex systems

arXiv preprint arXiv:2403.09243

2024/3/14

Tim Hempel
Tim Hempel

H-Index: 4

Markov Field Models: scaling molecular kinetics approaches to large molecular machines

2022/12/1

Tim Hempel
Tim Hempel

H-Index: 4

Simon Olsson
Simon Olsson

H-Index: 15

Studying Large-Scale Behavioral Differences in Auschwitz-Birkenau with Simulation of Gendered Narratives

Digital Humanities Quarterly

2022

Deep learning to decompose macromolecules into independent Markovian domains

Nature communications

2022

Deeptime: a Python library for machine learning dynamical models from time series data

Machine Learning: Science and Technology

2021/12/10

Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes

Proceedings of the National Academy of Sciences

2021/8/3

Tim Hempel
Tim Hempel

H-Index: 4

Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity

EBioMedicine

2021/3/1

Synergistic inhibition of SARS-CoV-2 cell entry by otamixaban and covalent protease inhibitors: pre-clinical assessment of pharmacological and molecular properties

Chemical science

2021

Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat

Chemical Science

2021

Coupling of conformational switches in calcium sensor unraveled with local Markov models and transfer entropy

Journal of Chemical Theory and Computation

2020/3/20

Tim Hempel
Tim Hempel

H-Index: 4

Molecular mechanism of SARS-CoV-2 cell entry inhibition via TMPRSS2 by Camostat and Nafamostat mesylate

bioRxiv

2020/1/1

See List of Professors in Tim Hempel University(Freie Universität Berlin)