Dov A. Pechenick
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 3
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 1
- Photosynthetic Processes and Mechanisms 1
- Epigenetics and DNA Methylation 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Scott A. Gerber (1 shared paper)Alexandre A. Pletnev (1 shared paper)Devin K. Schweppe (1 shared paper)Brendan K. Faherty (1 shared paper)Arminja N. Kettenbach (1 shared paper)Randolph J. Noelle (3 shared papers)Richard Manivanh (1 shared paper)Frederick S. Varn (1 shared paper)
- Journals
- Journal of Theoretical Biology (2 papers)Cancer Immunology Research (1 paper)BMC Plant Biology (1 paper)Arthritis & Rheumatology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Dov A. Pechenick
9 papers receiving 787 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 241
- Immunology 221
- Oncology 205
- Molecular Biology 445
- Cancer Research 74
Countries citing papers authored by Dov A. Pechenick
This map shows the geographic impact of Dov A. Pechenick'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 Dov A. Pechenick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dov A. Pechenick more than expected).
Fields of papers citing papers by Dov A. Pechenick
This network shows the impact of papers produced by Dov A. Pechenick. 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 Dov A. Pechenick. The network helps show where Dov A. Pechenick may publish in the future.
Co-authors
The 25 scholars most cited alongside Dov A. Pechenick, 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 | 2011 | 434 | |
| 2 | 2019 | 180 | |
| 3 | 2016 | 58 | |
| 4 | 2009 | 50 | |
| 5 | 2017 | 43 | |
| 6 | 2011 | 13 | |
| 7 | 2013 | 10 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 1 | |
| 10 | 2013 | 1 |
About Dov A. Pechenick
Dov A. Pechenick is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Cancer Research, having authored 10 papers that have together received 800 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (3 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Cell Biology (241 citations), Immunology (221 citations), Oncology (205 citations), Molecular Biology (445 citations) and Cancer Research (74 citations). Dov A. Pechenick has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Scott A. Gerber, Alexandre A. Pletnev, Devin K. Schweppe, Brendan K. Faherty, Arminja N. Kettenbach, Randolph J. Noelle, Richard Manivanh, Frederick S. Varn, Rodwell Mabaera and Yu‐Chi Lee. Their work appears in journals such as Journal of Theoretical Biology, Cancer Immunology Research, BMC Plant Biology, Arthritis & Rheumatology 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.