Oksana Gerlits

1.1k total citations
40 papers, 856 citations indexed

About

Oksana Gerlits is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Oksana Gerlits has authored 40 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Materials Chemistry and 8 papers in Organic Chemistry. Recurrent topics in Oksana Gerlits's work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (8 papers). Oksana Gerlits is often cited by papers focused on Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (8 papers). Oksana Gerlits collaborates with scholars based in United States, France and United Kingdom. Oksana Gerlits's co-authors include Andrey Kovalevsky, Sherry R. Chemler, Zoran Radić, Tai Boon Tan, Matthew P. Blakeley, Xiaolin Cheng, Donald Blumenthal, Palmer Taylor, Kevin L. Weiss and Paul Langan and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Oksana Gerlits

37 papers receiving 841 citations

Peers

Oksana Gerlits
Comparison fields: 5 of 79
  • Molecular Biology 406
  • Organic Chemistry 286
  • Materials Chemistry 231
  • Pharmacology 147
  • Computational Theory and Mathematics 115
Replace Cyril Papamicaël with:
Cyril Papamicaël France
Héctor A. Baldoni Argentina
Zhengdan Zhu China
Guillermo R. Labadié Argentina
Huizhe Lu China
Patrick McCarren United States
Zhaoqiang Chen China
Troy Wymore United States
Kenneth Borrelli United States
Dejan Opsenica Serbia
Cyril Papamicaël France View profile →
Citations per field, relative to Oksana Gerlits
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Citations per year, relative to Oksana Gerlits
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Countries citing papers authored by Oksana Gerlits

Since Specialization
Citations

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

Fields of papers citing papers by Oksana Gerlits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oksana Gerlits

This figure shows the co-authorship network connecting the top 25 collaborators of Oksana Gerlits. A scholar is included among the top collaborators of Oksana Gerlits based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oksana Gerlits. Oksana Gerlits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 4
6 13
7 10
8 8
9 30
10 1
11 4
12 8
13 14
14 22
15 115
16 20
17 22
18 20
19 54
20 1

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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