Phil Marsh

1.3k citations
26 papers · 982 · h-index 15

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Diabetes and associated disorders 2

Phil Marsh

23 papers receiving 949 citations

Peers

Phil Marsh
Comparison fields: 5 of 100
  • Reproductive Medicine 80
  • Genetics 259
  • Endocrinology, Diabetes and Metabolism 125
  • Molecular Biology 440
  • Public Administration 23
Replace Pietro Ferruzzi with:
Pietro Ferruzzi Italy
Katherine Rowland Canada
Anne Cornet Belgium
Benoît Hennuy Belgium
Philip A. Robinson United Kingdom
Katja Prelle Germany
C. Legrand France
Susanne Kjærgaard Denmark
F Deerberg Germany
Antonis Voutetakis United States
Phil Marsh relative to Pietro Ferruzzi Italy Pietro Ferruzzi's profile →
Citations per field
00.5×1.6×
Pietro Ferruzzi · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 2001162
3 2005138
4 199461
5 200760
6 199450
7 200240
8 198838
9 199437
10 201434
11 200130
12 200629
13 200826
14 200720
15
The mast cell binding site on human immunoglobulin E
198819
16 20228
17 19948
18 20058
19 19966
20 20073

About Phil Marsh

Phil Marsh is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 26 papers that have together received 982 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), Diabetes and associated disorders (2 papers), Infections and bacterial resistance (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Reproductive Medicine (80 citations), Genetics (259 citations), Endocrinology, Diabetes and Metabolism (125 citations), Molecular Biology (440 citations) and Public Administration (23 citations). Phil Marsh has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Peter M. Jones, Shanta J. Persaud, Robert Goold, Alison Wood‐Kaczmar, Niraj Trivedi, Phillip R. Gordon‐Weeks, David Sugden, Barbara J. Whitehouse, Shân L. Gyles and Chris Burns. Their work appears in journals such as Fertility and Sterility, Journal of Neuroendocrinology, Gynecologic Oncology, The Journal of Immunology and Journal of Molecular Endocrinology.

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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