Sergey Kaplan
Impact in
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
- Genetics 2
- Genomics and Rare Diseases 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Gil Stelzer (2 shared papers)David Warshawsky (2 shared papers)Noa Rappaport (2 shared papers)Asher Kohn (2 shared papers)Inbar Plaschkes (2 shared papers)Marilyn Safran (2 shared papers)Yaron Guan‐Golan (2 shared papers)Yaron Mazor (2 shared papers)
- Journals
- OMICS A Journal of Integrative Biology (1 paper)Current Protocols in Bioinformatics (1 paper)Kafkas Universitesi Veteriner Fakultesi Dergisi (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Sergey Kaplan
3 papers receiving 3.4k citations
Sergey Kaplan's Hit Papers
Peers
Comparison fields: 5 of 135
- Pharmacology 470
- Complementary and alternative medicine 279
- Cancer Research 451
- Biological Psychiatry 73
- Molecular Biology 1.9k
Countries citing papers authored by Sergey Kaplan
This map shows the geographic impact of Sergey Kaplan'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 Sergey Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Kaplan more than expected).
Fields of papers citing papers by Sergey Kaplan
This network shows the impact of papers produced by Sergey Kaplan. 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 Sergey Kaplan. The network helps show where Sergey Kaplan may publish in the future.
Co-authors
The 21 scholars most cited alongside Sergey Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses Hit paper breakdown → | 2016 | 3231 |
| 2 | 2016 | 173 | |
| 3 | The potential of microarray databases to identify tissue specific genes. | 2016 | 1 |
About Sergey Kaplan
Sergey Kaplan is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Genomics and Rare Diseases (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Pharmacology (470 citations), Complementary and alternative medicine (279 citations), Cancer Research (451 citations), Biological Psychiatry (73 citations) and Molecular Biology (1.9k citations). Sergey Kaplan has collaborated with scholars based in Israel and United States. Frequent co-authors include Gil Stelzer, David Warshawsky, Noa Rappaport, Asher Kohn, Inbar Plaschkes, Marilyn Safran, Yaron Guan‐Golan, Yaron Mazor, Doron Lancet and Shahar Zimmerman. Their work appears in journals such as OMICS A Journal of Integrative Biology, Current Protocols in Bioinformatics and Kafkas Universitesi Veteriner Fakultesi Dergisi.
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.