Osman Uğur Sezerman

4.9k citations
158 papers · 2.5k indexed · h-index 25
Topics
Bioinformatics and Genomic Networks (16 papers)Machine Learning in Bioinformatics (13 papers)Protein Structure and Dynamics (13 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Osman Uğur Sezerman

148 papers receiving 2.4k citations

Peers

Osman Uğur Sezerman
Comparison fields: 5 of 157
  • Molecular Biology 1.4k
  • Biomedical Engineering 411
  • Immunology 290
  • Plant Science 246
  • Cancer Research 190
Replace Sophia Hober with:
Sophia Hober Sweden
Sangho Lee South Korea
Tao Liu United States
Christian Pasquali Switzerland
R. Ian Freshney United Kingdom
Gabriele Grassi Italy
Yutaka Yamamoto Japan
Garry L. Corthals Finland
Wayne F. Patton United States
Osman Uğur Sezerman relative to Sophia Hober Sweden Sophia Hober's profile →
Citations per field
00.5×1.5×2.2×
Sophia Hober · 1×
Citations per year

Countries citing papers authored by Osman Uğur Sezerman

Since Specialization
Citations

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

Fields of papers citing papers by Osman Uğur Sezerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osman Uğur Sezerman. 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 Osman Uğur Sezerman. The network helps show where Osman Uğur Sezerman may publish in the future.

Co-authorship network of co-authors of Osman Uğur Sezerman

This figure shows the co-authorship network connecting the top 25 collaborators of Osman Uğur Sezerman. A scholar is included among the top collaborators of Osman Uğur Sezerman 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 Osman Uğur Sezerman. Osman Uğur Sezerman 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
#WorkIndexed citations
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11 0
12 1
13 1
14 7
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About Osman Uğur Sezerman

Osman Uğur Sezerman is a scholar working on Molecular Biology, Immunology and Health Informatics, having authored 158 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Machine Learning in Bioinformatics (13 papers) and Protein Structure and Dynamics (13 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biotechnology (154 citations) and Immunology (290 citations). Osman Uğur Sezerman has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Ege Ülgen, Ozan Özışık, Günseli Bayram Akçapınar, Emel Timuçin, Özgür Gül, Marcela M.M. Bilek, Burcu Bakır-Güngör, David R. McKenzie, Neil J. Nosworthy and John A. Denman. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

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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