Z. Nevin Gerek

875 citations
17 papers · 707 indexed · h-index 14

Z. Nevin Gerek

17 papers receiving 705 citations

Peers

Z. Nevin Gerek
Comparison fields: 5 of 77
  • Fluid Flow and Transfer Processes 67
  • Molecular Biology 508
  • Computational Theory and Mathematics 109
  • Molecular Medicine 28
  • Materials Chemistry 178
Replace Vincent Kräutler with:
Vincent Kräutler Switzerland
David P. Remeta United States
Hiraku Oshima Japan
Iksoo Chang South Korea
Jocelyne Vreede Netherlands
Ninad V. Prabhu United States
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Mark A. Roseman United States
Ernesto Freire United States
Aleksandra E. Badaczewska-Dawid Poland
Z. Nevin Gerek relative to Vincent Kräutler Switzerland Vincent Kräutler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Z. Nevin Gerek

Since Specialization
Citations

This map shows the geographic impact of Z. Nevin Gerek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Z. Nevin Gerek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Nevin Gerek more than expected).

Fields of papers citing papers by Z. Nevin Gerek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. Nevin Gerek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Z. Nevin Gerek. The network helps show where Z. Nevin Gerek may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Z. Nevin Gerek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Z. Nevin Gerek Line = papers co-authored together Z. Nevin Gerek links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201524
2 201431
3 201383
4 201332
5 201225
6 201223
7 20112
8 2011148
9 201031
10 201043
11 2010123
12 200954
13 20076
14
Semi-Empirical Correlation of Transport Properties Based on the Step Potential Equilibria and Dynamics (SPEAD) Model
20061
15 200528
16 200516
17 200437

About Z. Nevin Gerek

Z. Nevin Gerek is a scholar working on Structural Biology, Fluid Flow and Transfer Processes and Computational Theory and Mathematics, having authored 17 papers that have together received 707 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Phase Equilibria and Thermodynamics (5 papers), Chemical Thermodynamics and Molecular Structure (4 papers), Thermodynamic properties of mixtures (4 papers), Computational Drug Discovery Methods (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (67 citations), Molecular Biology (508 citations) and Computational Theory and Mathematics (109 citations). Z. Nevin Gerek has collaborated with scholars based in United States, Türkiye and Ireland. Frequent co-authors include S. Banu Ozkan, J. Richard Elliott, Sudhir Kumar, Canan Atılgan, Ali Rana Atılgan, Özlem Keskin, M. F. Thorpe, Kumlesh K. Dev, Damien Farrell and Claire C. Morgan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, PLoS Computational Biology, Industrial & Engineering Chemistry Research, Biophysical Journal and Fluid Phase Equilibria.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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