Moshe Phillip

28.5k citations
366 papers · 12.8k · h-index 60

Impact in

Papers in

Moshe Phillip

352 papers receiving 12.3k citations

Peers

Moshe Phillip
Comparison fields: 5 of 163
  • Endocrinology, Diabetes and Metabolism 6.2k
  • Reproductive Medicine 1.1k
  • Genetics 2.8k
  • Endocrine and Autonomic Systems 588
  • Surgery 2.4k
Replace Andrew R. Hoffman with:
Andrew R. Hoffman United States
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Franck Mauvais‐Jarvis United States
Michael B. Ranke Germany
Jan Frystyk Denmark
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Moshe Phillip relative to Andrew R. Hoffman United States Andrew R. Hoffman's profile →
Citations per field
00.5×1.7×
Andrew R. Hoffman · 1×
Citations per year

Countries citing papers authored by Moshe Phillip

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Phillip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 366 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006402
2 2011356
3 2005311
4 2013298
5 2003269
6 2007227
7 2015211
8 2002200
9 2010199
10 2002198
11 1999195
12 2003194
13 2002193
14 2003180
15 1998164
16 2007163
17 2018153
18 2004130
19 2017121
20 2014119

About Moshe Phillip

Moshe Phillip is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Physiology, having authored 366 papers that have together received 12.8k indexed citations. Recurring topics across this work include Diabetes Management and Research (95 papers), Growth Hormone and Insulin-like Growth Factors (70 papers), Pancreatic function and diabetes (58 papers), Diabetes and associated disorders (53 papers), Hypothalamic control of reproductive hormones (23 papers), Sexual Differentiation and Disorders (22 papers), Diet and metabolism studies (18 papers) and Thyroid Disorders and Treatments (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.2k citations), Reproductive Medicine (1.1k citations), Genetics (2.8k citations), Endocrine and Autonomic Systems (588 citations) and Surgery (2.4k citations). Moshe Phillip has collaborated with scholars based in Israel, United States and Slovenia. Frequent co-authors include Shlomit Shalitin, Liora Lazar, Tadej Battelino, Revital Nimri, Galia Gat‐Yablonski, Yael Segev, Yael Lebenthal, Michal Yackobovitch‐Gavan, Nataša Bratina and Eran Atlas. Their work appears in journals such as Hormone Research in Paediatrics, Diabetes Technology & Therapeutics, The Journal of Clinical Endocrinology & Metabolism, Pediatric Diabetes and Diabetes Care.

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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