Phil Marsh

24 papers receiving 923 citations

Peers

Phil Marsh
Comparison fields: 5 of 100
  • Genetics 278
  • Reproductive Medicine 82
  • Endocrinology, Diabetes and Metabolism 131
  • Public Administration 23
  • Molecular Biology 457
Replace Françoise Roux with:
Françoise Roux France
Masahiro Nakayama Japan
Pietro Ferruzzi Italy
Katja Prelle Germany
C. Legrand France
Claudia Pérez Leirós Argentina
C. O’Neill Australia
Luciana Bastos‐Rodrigues Brazil
Rebecca P. Green United States
Michael McGuinness United States
Phil Marsh relative to Françoise Roux France Françoise Roux's profile →
Citations per field
00.5×5.7×
Françoise Roux · 1×
Citations per year

Countries citing papers authored by Phil Marsh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Phil Marsh Line = papers co-authored together Phil Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013191
2 2001160
3 2005133
4 199461
5 200757
6 199450
7 200239
8 199437
9 198836
10 201433
11 200129
12 200628
13 200825
14 200719
15
The mast cell binding site on human immunoglobulin E
198815
16 19948
17 20057
18 20227
19 19965
20 20072

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.

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