Martin Braddock
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- RNA Research and Splicing 12
- Epidemiology 20
- Liver Disease Diagnosis and Treatment 12
- Co-authors
- Callum J. Campbell (12 shared papers)Susan M. Kingsman (15 shared papers)Ming‐Hua Zheng (42 shared papers)Alan J. Kingsman (13 shared papers)P Houston (11 shared papers)Anthony Quinn (2 shared papers)Gui‐Qi Zhu (28 shared papers)Keqing Shi (25 shared papers)
- Journals
- Oncotarget (9 papers)Expert Opinion on Investigational Drugs (7 papers)Medicine (6 papers)Expert Opinion on Therapeutic Targets (6 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Martin Braddock
129 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 155
- Physiology 396
- Virology 328
- Hepatology 280
- Immunology 453
- Molecular Biology 1.3k
Countries citing papers authored by Martin Braddock
This map shows the geographic impact of Martin Braddock'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 Martin Braddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Braddock more than expected).
Fields of papers citing papers by Martin Braddock
This network shows the impact of papers produced by Martin Braddock. 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 Martin Braddock. The network helps show where Martin Braddock may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Braddock, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 177 | |
| 2 | 2004 | 175 | |
| 3 | 1998 | 170 | |
| 4 | 2015 | 121 | |
| 5 | 1989 | 117 | |
| 6 | 2006 | 115 | |
| 7 | 2003 | 105 | |
| 8 | 2010 | 101 | |
| 9 | 1998 | 79 | |
| 10 | 1994 | 78 | |
| 11 | 1990 | 78 | |
| 12 | 1999 | 74 | |
| 13 | 2015 | 71 | |
| 14 | 1995 | 69 | |
| 15 | 2015 | 68 | |
| 16 | 2001 | 67 | |
| 17 | 2016 | 63 | |
| 18 | 2000 | 63 | |
| 19 | 2016 | 59 | |
| 20 | 2015 | 56 |
About Martin Braddock
Martin Braddock is a scholar working on Molecular Biology, Epidemiology, Physiology, Hepatology and Surgery, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Spaceflight effects on biology (13 papers), HIV Research and Treatment (13 papers), RNA Research and Splicing (12 papers), Liver Disease Diagnosis and Treatment (12 papers), Space Science and Extraterrestrial Life (10 papers), Liver Disease and Transplantation (7 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Space Exploration and Technology (5 papers). The work is most often cited by research in Physiology (396 citations), Virology (328 citations), Hepatology (280 citations), Immunology (453 citations) and Molecular Biology (1.3k citations). Martin Braddock has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Callum J. Campbell, Susan M. Kingsman, Ming‐Hua Zheng, Alan J. Kingsman, P Houston, Anthony Quinn, Gui‐Qi Zhu, Keqing Shi, Sally E. Adams and Jean-Luc Schwachtgen. Their work appears in journals such as Oncotarget, Expert Opinion on Investigational Drugs, Medicine, Expert Opinion on Therapeutic Targets and Nucleic Acids Research.
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.