Ivan Korendovych

Ivan Korendovych

Syracuse University

H-index: 32

North America-United States

About Ivan Korendovych

Ivan Korendovych, With an exceptional h-index of 32 and a recent h-index of 21 (since 2020), a distinguished researcher at Syracuse University,

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

Avoiding common pitfalls in designing kinetic protocols for catalytic amyloid studies

Computational modelling of supramolecular metallopeptide assemblies

Fishing for Catalysis: Experimental Approaches to Narrowing Search Space in Directed Evolution of Enzymes

Machine learning overcomes human bias in the discovery of self-assembling peptides

NMR-guided directed evolution

NMR‐Guided Directed Evolution of a Kemp Eliminase

De novo designed peptides form a highly catalytic ordered nanoarchitecture on a graphite surface

Catalytic amyloids: Is misfolding folding?

Ivan Korendovych Information

University

Position

___

Citations(all)

3313

Citations(since 2020)

1784

Cited By

2215

hIndex(all)

32

hIndex(since 2020)

21

i10Index(all)

54

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Top articles of Ivan Korendovych

Avoiding common pitfalls in designing kinetic protocols for catalytic amyloid studies

2024/4/27

Computational modelling of supramolecular metallopeptide assemblies

2024/4/15

Fishing for Catalysis: Experimental Approaches to Narrowing Search Space in Directed Evolution of Enzymes

2023/8/18

Machine learning overcomes human bias in the discovery of self-assembling peptides

Nature chemistry

2022/12

NMR-guided directed evolution

Nature

2022/10/13

NMR‐Guided Directed Evolution of a Kemp Eliminase

The FASEB Journal

2022/5

De novo designed peptides form a highly catalytic ordered nanoarchitecture on a graphite surface

Nanoscale

2022

Catalytic amyloids: Is misfolding folding?

2021/10/1

Self-assembling Peptide Discovery: Overcoming Human Bias With Machine Learning

2021/6/21

Self‐Assembling Catalytic Peptide Nanomaterials Capable of Highly Efficient Peroxidase Activity

Chemistry–A European Journal

2021/3/22

Covalent linkage and macrocylization preserve and enhance synergistic interactions in catalytic amyloids

ChemBioChem

2021/2/2

Synergistic interactions are prevalent in catalytic amyloids

ChemBioChem

2020/9/14

Self-Assembly of Hepta-Peptides on Surfaces of Two-Dimensional Materials

2020/8/26

Peptides for prevention of HIV infection

2020/6/30

Semi‐Rationally Designed Short Peptides Self‐Assemble and Bind Hemin to Promote Cyclopropanation

Angewandte Chemie

2020/5/18

Short peptides assemble to produce enzyme-like catalysts.

Bulletin of the American Physical Society

2020/3/2

Ivan Korendovych
Ivan Korendovych

H-Index: 21

Self-assembling LDL-tripeptides dance the twist

Synlett

2020/3

De novo protein design, a retrospective

2020/1

See List of Professors in Ivan Korendovych University(Syracuse University)