S. Banu Ozkan

4.4k citations
76 papers · 3.2k indexed · 1 hit paper · h-index 28

S. Banu Ozkan

73 papers receiving 3.2k citations

Hit Papers

The Protein Folding Problem8132008202620142020250500750

Peers

S. Banu Ozkan
Comparison fields: 5 of 135
  • Molecular Biology 2.7k
  • Materials Chemistry 1.0k
  • Molecular Medicine 98
  • Spectroscopy 308
  • Computational Theory and Mathematics 264
Replace Srivatsan Raman with:
Srivatsan Raman United States
Pratul K. Agarwal United States
David D. Boehr United States
John Karanicolas United States
Duncan Poole United States
Ingemar André Sweden
Steven Hayward United Kingdom
Michał J. Gajda Germany
Cyril Dominguez United Kingdom
Nikolaos G. Sgourakis United States
S. Banu Ozkan relative to Srivatsan Raman United States Srivatsan Raman's profile →
Citations per field
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Srivatsan Raman · 1×
Citations per year

Countries citing papers authored by S. Banu Ozkan

Since Specialization
Citations

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

Fields of papers citing papers by S. Banu Ozkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Banu Ozkan. 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 S. Banu Ozkan. The network helps show where S. Banu Ozkan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20244
4 20243
5 20231
6 202211
7 202214
8 202032
9 2020122
10 20202
11 201846
12 201827
13 201860
14 201724
15 201564
16 201411
17 201364
18 20112
19 20106
20 200936

About S. Banu Ozkan

S. Banu Ozkan is a scholar working on Molecular Medicine, Molecular Biology and Structural Biology, having authored 76 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (44 papers), RNA and protein synthesis mechanisms (22 papers), Enzyme Structure and Function (19 papers), Evolution and Genetic Dynamics (9 papers), Mass Spectrometry Techniques and Applications (7 papers), Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (7 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Materials Chemistry (1.0k citations) and Molecular Medicine (98 citations). S. Banu Ozkan has collaborated with scholars based in United States, Türkiye and Saudi Arabia. Frequent co-authors include Ken A. Dill, Thomas R. Weikl, M. Scott Shell, Z. Nevin Gerek, İvet Bahar, Sudhir Kumar, Tushar Modi, Paul Campitelli, John D. Chodera and Valeria A. Risso. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics, Protein Science 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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