Jonathan M.G. Higgins
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
-
- Genomics and Chromatin Dynamics 21
- Wnt/β-catenin signaling in development and cancer 7
- Ubiquitin and proteasome pathways 5
- DNA Repair Mechanisms 4
- Cell Biology 31
- Microtubule and mitosis dynamics 27
- Co-authors
- Jun Dai (5 shared papers)Fangwei Wang (9 shared papers)Michael B. Brenner (7 shared papers)Debasis Patnaik (8 shared papers)Stephen S. Taylor (1 shared paper)John R. Daum (3 shared papers)Gary J. Gorbsky (3 shared papers)Beth A. Sullivan (1 shared paper)
- Journals
- Nature Communications (5 papers)Developmental Cell (3 papers)Scientific Reports (3 papers)Molecular Biology of the Cell (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jonathan M.G. Higgins
56 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 107
- Cell Biology 1.5k
- Immunology and Allergy 253
- Molecular Biology 2.6k
- Immunology 464
- Aging 28
Countries citing papers authored by Jonathan M.G. Higgins
This map shows the geographic impact of Jonathan M.G. Higgins'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 M.G. Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M.G. Higgins more than expected).
Fields of papers citing papers by Jonathan M.G. Higgins
This network shows the impact of papers produced by Jonathan M.G. Higgins. 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 M.G. Higgins. The network helps show where Jonathan M.G. Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M.G. Higgins, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 377 | |
| 2 | 2005 | 289 | |
| 3 | 2006 | 180 | |
| 4 | 1998 | 179 | |
| 5 | 2007 | 163 | |
| 6 | 2012 | 139 | |
| 7 | 2011 | 134 | |
| 8 | 2009 | 132 | |
| 9 | 2000 | 129 | |
| 10 | 2004 | 128 | |
| 11 | 1999 | 127 | |
| 12 | 2001 | 124 | |
| 13 | 2007 | 96 | |
| 14 | 2012 | 90 | |
| 15 | 2010 | 76 | |
| 16 | 2020 | 67 | |
| 17 | 2001 | 66 | |
| 18 | 2012 | 64 | |
| 19 | 2014 | 59 | |
| 20 | 2012 | 57 |
About Jonathan M.G. Higgins
Jonathan M.G. Higgins is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Immunology and Plant Science, having authored 56 papers that have together received 3.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (27 papers), Genomics and Chromatin Dynamics (21 papers), Cell Adhesion Molecules Research (12 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Ubiquitin and proteasome pathways (5 papers), DNA Repair Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cell Biology (1.5k citations), Immunology and Allergy (253 citations), Molecular Biology (2.6k citations), Immunology (464 citations) and Aging (28 citations). Jonathan M.G. Higgins has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jun Dai, Fangwei Wang, Michael B. Brenner, Debasis Patnaik, Stephen S. Taylor, John R. Daum, Gary J. Gorbsky, Beth A. Sullivan, P. Todd Stukenberg and E. Niedzialkowska. Their work appears in journals such as Nature Communications, Developmental Cell, Scientific Reports, Molecular Biology of the Cell and Journal of Biological Chemistry.
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.