Gail Murphy

23 papers receiving 983 citations

Peers

Gail Murphy
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 213
  • Endocrinology, Diabetes and Metabolism 173
  • Transplantation 23
  • Radiology, Nuclear Medicine and Imaging 196
  • Internal Medicine 29
Replace Rainer Zimmermann with:
Rainer Zimmermann Germany
Jingtao Wu United States
José M. Mendiguren Spain
Jin Shang China
Gianfranco Ferla Italy
Roser Ferrer Spain
K G Alberti United Kingdom
M Yamane Japan
Andreea Ciudin Spain
Sho Sasaki Japan
Gail Murphy relative to Rainer Zimmermann Germany Rainer Zimmermann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gail Murphy

Since Specialization
Citations

This map shows the geographic impact of Gail Murphy'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 Gail Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Murphy more than expected).

Fields of papers citing papers by Gail Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Murphy. 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 Gail Murphy. The network helps show where Gail Murphy may publish in the future.

Co-authors

The 25 scholars most cited alongside Gail Murphy, 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 Gail Murphy Line = papers co-authored together Gail Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012206
2 2013132
3 1998124
4 1994111
5 200475
6 199748
7 200640
8 201839
9 199938
10 200634
11 201833
12 199831
13 201128
14 200127
15 200623
16 201116
17 20056
18 20125
19 20124
20 20033

About Gail Murphy

Gail Murphy is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Infectious Diseases and Pharmacology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Nausea and vomiting management (3 papers), Antifungal resistance and susceptibility (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (213 citations), Endocrinology, Diabetes and Metabolism (173 citations), Transplantation (23 citations), Radiology, Nuclear Medicine and Imaging (196 citations) and Internal Medicine (29 citations). Gail Murphy has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Ronald I. Clyman, David Krupa, K. Cerchio, William J. Polvino, Deborah Panebianco, Johan Svensson, Robert J. Gould, B. Gertz, Daniel F. Wyss and John‐Olov Jansson. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Cancer Chemotherapy and Pharmacology, The Journal of Clinical Endocrinology & Metabolism and Seminars in Perinatology.

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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