Jonathan Bard
- Molecular Biology top 1%
- Renal and related cancers 22
- Biomedical Text Mining and Ontologies 20
- Bioinformatics and Genomic Networks 12
- Developmental Biology and Gene Regulation 9
- Genetics, Bioinformatics, and Biomedical Research 8
- Cell Biology top 1%
- Proteoglycans and glycosaminoglycans research 10
- Immunology and Allergy top 2%
- Urology top 1%
- Genetics top 2%
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- Renal cell carcinoma treatment 10
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- Semantic Web and Ontologies 9
- Co-authors
- Tom ElsdaleSeung Y. RheeM. H. KaufmanMichael AshburnerElizabeth D. HayKathy Pritchard‐JonesNicholas D. HastieWendy A. Bickmore
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan Bard
119 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Molecular Biology 5.7k
- Cell Biology 1.2k
- Immunology and Allergy 328
- Urology 339
- Genetics 1.2k
Countries citing papers authored by Jonathan Bard
This map shows the geographic impact of Jonathan Bard'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 Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Bard more than expected).
Fields of papers citing papers by Jonathan Bard
This network shows the impact of papers produced by Jonathan Bard. 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 Bard. The network helps show where Jonathan Bard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Bard, 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 | 2022 | 1 | |
| 2 | Kaufman’s Atlas of Mouse Development Supplement: With Coronal Sections | 2015 | 6 |
| 3 | 2012 | 6 | |
| 4 | 2008 | 21 | |
| 5 | 2005 | 29 | |
| 6 | The kidney : from normal development to congenital disease | 2003 | 135 |
| 7 | 2002 | 1 | |
| 8 | 2001 | 39 | |
| 9 | 1999 | 10 | |
| 10 | 1998 | 71 | |
| 11 | 1998 | 105 | |
| 12 | 1997 | 22 | |
| 13 | 1995 | 2 | |
| 14 | 1995 | 41 | |
| 15 | 1994 | 68 | |
| 16 | 1992 | 0 | |
| 17 | The candidate Wilms' tumour gene is involved in genitourinary developmentbreakdown → | 1990 | 718 |
| 18 | 1990 | 30 | |
| 19 | 1986 | 26 | |
| 20 | 1981 | 4 |
About Jonathan Bard
Jonathan Bard is a scholar working on Anatomy, History and Philosophy of Science and Molecular Biology, having authored 120 papers that have together received 8.3k indexed citations. Recurring topics across this work include Renal and related cancers (22 papers), Biomedical Text Mining and Ontologies (20 papers), Bioinformatics and Genomic Networks (12 papers), Renal cell carcinoma treatment (10 papers), Proteoglycans and glycosaminoglycans research (10 papers), Semantic Web and Ontologies (9 papers), Developmental Biology and Gene Regulation (9 papers) and Genetics, Bioinformatics, and Biomedical Research (8 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Cell Biology (1.2k citations) and Immunology and Allergy (328 citations). Jonathan Bard has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tom Elsdale, Seung Y. Rhee, M. H. Kaufman, Michael Ashburner, Elizabeth D. Hay, Kathy Pritchard‐Jones, Nicholas D. Hastie, Wendy A. Bickmore, Duncan Davidson and Jane F Armstrong. Their work appears in journals such as BioEssays, Journal of Anatomy, Developmental Biology, Development and Journal of Theoretical 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.