Jonathan D. Wren
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 2%
- Immune Cell Function and Interaction
Papers in
- Aging 10
-
- Gene expression and cancer classification 19
- Epigenetics and DNA Methylation 17
- Genetics, Bioinformatics, and Biomedical Research 17
- Biomedical Text Mining and Ontologies 16
- Bioinformatics and Genomic Networks 16
- Genomics and Phylogenetic Studies 13
- Co-authors
- Cory B. GilesHarold R. GarnerMikhail G. DozmorovAmr H. SawalhaAnna CsiszárZoltán UngváriStefano TarantiniConstantin Georgescu
- 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
189 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Aging 324
- Immunology 1.4k
- Neurology 506
- Cancer Research 845
- Molecular Biology 3.6k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 30 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 32 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 36 | |
| 16 | 2019 | 10 | |
| 17 | 2017 | 53 | |
| 18 | 2016 | 38 | |
| 19 | 2009 | 76 | |
| 20 | 2004 | 4 |
About Jonathan D. Wren
Jonathan D. Wren is a scholar working on Aging, Molecular Biology, Cancer Research, Immunology and Allergy and Immunology, having authored 193 papers that have together received 7.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (19 papers), Epigenetics and DNA Methylation (17 papers), Genetics, Bioinformatics, and Biomedical Research (17 papers), Biomedical Text Mining and Ontologies (16 papers), Bioinformatics and Genomic Networks (16 papers), Genomics and Phylogenetic Studies (13 papers), Immune Cell Function and Interaction (12 papers) and Systemic Lupus Erythematosus Research (11 papers). The work is most often cited by research in Aging (324 citations), Immunology (1.4k citations), Neurology (506 citations), Cancer Research (845 citations) and Molecular Biology (3.6k 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.