Jonathan D. Wren
Impact in
Papers in
-
- Epigenetics and DNA Methylation 16
- Biomedical Text Mining and Ontologies 15
- Gene expression and cancer classification 14
- Genetics, Bioinformatics, and Biomedical Research 13
- Bioinformatics and Genomic Networks 12
- Genomics and Phylogenetic Studies 11
- Immunology 25
- Co-authors
- Cory B. Giles (31 shared papers)Harold R. Garner (19 shared papers)Mikhail G. Dozmorov (24 shared papers)Amr H. Sawalha (14 shared papers)Anna Csiszár (14 shared papers)Zoltán Ungvári (14 shared papers)Stefano Tarantini (13 shared papers)Constantin Georgescu (44 shared papers)
- Journals
- BMC Bioinformatics (20 papers)Bioinformatics (13 papers)GeroScience (9 papers)Aging Cell (8 papers)Journal of Autoimmunity (5 papers)
- Partner nations
- United StatesHungaryFrance
In The Last Decade
Jonathan D. Wren
188 papers receiving 7.6k citations
Jonathan D. Wren's Hit Papers
Peers
Comparison fields: 5 of 181
- Aging 319
- Neurology 473
- Immunology 1.1k
- Physiology 1.3k
- Cancer Research 721
Countries citing papers authored by Jonathan D. Wren
This map shows the geographic impact of Jonathan D. Wren'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 Jonathan D. Wren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Wren more than expected).
Fields of papers citing papers by Jonathan D. Wren
This network shows the impact of papers produced by Jonathan D. Wren. 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 Jonathan D. Wren. The network helps show where Jonathan D. Wren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Wren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of a novel senolytic agent, navitoclax, targeting the Bcl‐2 family of anti‐apoptotic factors Hit paper breakdown → | 2015 | 836 |
| 2 | 2018 | 339 | |
| 3 | 2013 | 252 | |
| 4 | 2018 | 238 | |
| 5 | 2011 | 174 | |
| 6 | 2014 | 159 | |
| 7 | 2004 | 151 | |
| 8 | 2007 | 151 | |
| 9 | 2009 | 143 | |
| 10 | 2014 | 141 | |
| 11 | 2015 | 137 | |
| 12 | 2015 | 135 | |
| 13 | 2015 | 132 | |
| 14 | 2020 | 132 | |
| 15 | 2000 | 125 | |
| 16 | 2011 | 103 | |
| 17 | 2018 | 102 | |
| 18 | 2006 | 101 | |
| 19 | 2017 | 92 | |
| 20 | 2019 | 88 |
About Jonathan D. Wren
Jonathan D. Wren is a scholar working on Molecular Biology, Immunology, Cancer Research, Cell Biology and Physiology, having authored 192 papers that have together received 7.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Biomedical Text Mining and Ontologies (15 papers), Gene expression and cancer classification (14 papers), Genetics, Bioinformatics, and Biomedical Research (13 papers), Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (11 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Aging (319 citations), Neurology (473 citations), Immunology (1.1k citations), Physiology (1.3k citations) and Cancer Research (721 citations). Jonathan D. Wren has collaborated with scholars based in United States, Hungary and France. Frequent co-authors include Cory B. Giles, Harold R. Garner, Mikhail G. Dozmorov, Amr H. Sawalha, Anna Csiszár, Zoltán Ungvári, Stefano Tarantini, Constantin Georgescu, Willard M. Freeman and Patrick Coit. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, GeroScience, Aging Cell and Journal of Autoimmunity.
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.