John Unitt
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Receptor Mechanisms and Signaling 6
- Immunology 10
- Immune Response and Inflammation 5
- Co-authors
- David G. Spiller (5 shared papers)Michael White (5 shared papers)Violaine Sée (2 shared papers)David E. Nelson (2 shared papers)Caroline A. Horton (2 shared papers)Douglas B. Kell (2 shared papers)Elaine Sullivan (6 shared papers)Glyn Nelson (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Journal of Medicinal Chemistry (2 papers)SLAS DISCOVERY (2 papers)Science (2 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
John Unitt
35 papers receiving 2.4k citations
John Unitt's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 507
- Immunology 660
- Biophysics 143
- Molecular Biology 1.2k
- Behavioral Neuroscience 42
Countries citing papers authored by John Unitt
This map shows the geographic impact of John Unitt'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 John Unitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Unitt more than expected).
Fields of papers citing papers by John Unitt
This network shows the impact of papers produced by John Unitt. 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 John Unitt. The network helps show where John Unitt may publish in the future.
Co-authors
The 25 scholars most cited alongside John Unitt, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression Hit paper breakdown → | 2004 | 964 |
| 2 | 2009 | 446 | |
| 3 | 2002 | 96 | |
| 4 | 2013 | 89 | |
| 5 | 2011 | 73 | |
| 6 | 2004 | 70 | |
| 7 | 1989 | 67 | |
| 8 | 2003 | 63 | |
| 9 | 2017 | 52 | |
| 10 | 2002 | 45 | |
| 11 | 2005 | 44 | |
| 12 | 1998 | 40 | |
| 13 | 1995 | 38 | |
| 14 | 2016 | 34 | |
| 15 | 2003 | 31 | |
| 16 | 2009 | 24 | |
| 17 | 2015 | 22 | |
| 18 | 1999 | 21 | |
| 19 | 2015 | 21 | |
| 20 | 1992 | 19 |
About John Unitt
John Unitt is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers), Muscle metabolism and nutrition (4 papers), Cardiovascular and exercise physiology (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Computational Drug Discovery Methods (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Cancer Research (507 citations), Immunology (660 citations), Biophysics (143 citations), Molecular Biology (1.2k citations) and Behavioral Neuroscience (42 citations). John Unitt has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include David G. Spiller, Michael White, Violaine Sée, David E. Nelson, Caroline A. Horton, Douglas B. Kell, Elaine Sullivan, Glyn Nelson, Steven W. Edwards and Adaoha Ihekwaba. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, SLAS DISCOVERY, Science and Analytical Biochemistry.
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.