Murat Cokol

32 papers receiving 2.2k citations

Murat Cokol's Hit Papers

Finding nuclear localization signals 2000 · 581 citations
5810+8+17Years since publication100200300400500

Peers

Murat Cokol
Comparison fields: 5 of 137
  • Molecular Medicine 234
  • Computational Theory and Mathematics 397
  • Applied Microbiology and Biotechnology 40
  • Molecular Biology 1.3k
  • Renewable Energy, Sustainability and the Environment 207
Replace M.W. Vetting with:
M.W. Vetting United States
Tiziano Gallo Cassarino United Kingdom
Nicholas Furnham United Kingdom
Nina M. Haste United States
Daniel Lim United States
Jennifer Herrmann Germany
Florence Pojer Switzerland
Adam C. Palmer United States
Giovanna Riccardi Italy
Lin‐Woo Kang South Korea
Murat Cokol relative to M.W. Vetting United States M.W. Vetting's profile →
Citations per field
00.5×4.8×
M.W. Vetting · 1×
Citations per year

Countries citing papers authored by Murat Cokol

Since Specialization
Citations

This map shows the geographic impact of Murat Cokol'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 Murat Cokol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Cokol more than expected).

Fields of papers citing papers by Murat Cokol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murat Cokol. 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 Murat Cokol. The network helps show where Murat Cokol may publish in the future.

Co-authors

The 25 scholars most cited alongside Murat Cokol, 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 Murat Cokol Line = papers co-authored together Murat Cokol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Finding nuclear localization signals
Hit paper breakdown →
2000581
2 2014257
3 2011253
4 2014205
5 2015138
6 201691
7 201790
8 202060
9 201950
10 200547
11 201744
12 201738
13 201638
14 201732
15 201830
16 201629
17 201429
18 201828
19 201728
20 201926

About Murat Cokol

Murat Cokol is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Pharmacology and Genetics, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Pharmacogenetics and Drug Metabolism (7 papers), Bioinformatics and Genomic Networks (5 papers), Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Analytical Chemistry and Chromatography (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Molecular Medicine (234 citations), Computational Theory and Mathematics (397 citations), Applied Microbiology and Biotechnology (40 citations), Molecular Biology (1.3k citations) and Renewable Energy, Sustainability and the Environment (207 citations). Murat Cokol has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Rajesh Nair, Burkhard Rost, Kaan Yılancıoğlu, Selim Çetiner, Batu Erman, Bree B. Aldridge, Zohar Weinstein, Andreas Bender, Nurdan Kuru and Frederick P. Roth. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Visualized Experiments, Molecular Systems Biology and PLoS Computational Biology.

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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