Phil Marsh
Impact in
- Genetics top 10%
- Diabetes and associated disorders
- Estrogen and related hormone effects
- Genetics and Neurodevelopmental Disorders
- Reproductive Medicine top 10%
Papers in ⓘ
- Co-authors
- Peter M. Jones (4 shared papers)Shanta J. Persaud (3 shared papers)Robert Goold (1 shared paper)Alison Wood‐Kaczmar (1 shared paper)David Sugden (2 shared papers)Phillip R. Gordon‐Weeks (1 shared paper)Niraj Trivedi (1 shared paper)Barbara J. Whitehouse (1 shared paper)
- Journals
- Nature Genetics (1 paper)Scientific Reports (1 paper)Diabetes (1 paper)Cellular & Molecular Biology Letters (1 paper)International Archives of Allergy and Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Phil Marsh
24 papers receiving 923 citations
Peers
Comparison fields: 5 of 100
- Genetics 278
- Reproductive Medicine 82
- Endocrinology, Diabetes and Metabolism 131
- Public Administration 23
- Molecular Biology 457
Countries citing papers authored by Phil Marsh
This map shows the geographic impact of Phil Marsh'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 Phil Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Marsh more than expected).
Fields of papers citing papers by Phil Marsh
This network shows the impact of papers produced by Phil Marsh. 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 Phil Marsh. The network helps show where Phil Marsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Marsh, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 191 | |
| 2 | 2001 | 160 | |
| 3 | 2005 | 133 | |
| 4 | 1994 | 61 | |
| 5 | 2007 | 57 | |
| 6 | 1994 | 50 | |
| 7 | 2002 | 39 | |
| 8 | 1994 | 37 | |
| 9 | 1988 | 36 | |
| 10 | 2014 | 33 | |
| 11 | 2001 | 29 | |
| 12 | 2006 | 28 | |
| 13 | 2008 | 25 | |
| 14 | 2007 | 19 | |
| 15 | The mast cell binding site on human immunoglobulin E | 1988 | 15 |
| 16 | 1994 | 8 | |
| 17 | 2005 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 1996 | 5 | |
| 20 | 2007 | 2 |
About Phil Marsh
Phil Marsh is a scholar working on Endocrinology, Reproductive Medicine, Public Administration, Genetics and Molecular Biology, having authored 24 papers that have together received 948 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers), RNA and protein synthesis mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mast cells and histamine (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (278 citations), Reproductive Medicine (82 citations), Endocrinology, Diabetes and Metabolism (131 citations), Public Administration (23 citations) and Molecular Biology (457 citations). Phil Marsh has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter M. Jones, Shanta J. Persaud, Robert Goold, Alison Wood‐Kaczmar, David Sugden, Phillip R. Gordon‐Weeks, Niraj Trivedi, Barbara J. Whitehouse, Shân L. Gyles and Chris Burns. Their work appears in journals such as Nature Genetics, Scientific Reports, Diabetes, Cellular & Molecular Biology Letters and International Archives of Allergy and Immunology.
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.