Philip Levin

1.9k citations
48 papers · 778 · h-index 16

Impact in

Papers in

    • Diabetes Management and Research 12
    • Diabetes Treatment and Management 9
    • Growth Hormone and Insulin-like Growth Factors 4
    • Pituitary Gland Disorders and Treatments 2
    • Adipose Tissue and Metabolism 2

Philip Levin

40 papers receiving 735 citations

Peers

Philip Levin
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 344
  • Aging 35
  • Behavioral Neuroscience 31
  • Family Practice 13
  • Endocrine and Autonomic Systems 36
Replace Maria Edna de Melo with:
Maria Edna de Melo Brazil
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Fernando Lizcano Colombia
Luciana Aparecida Campos Brazil
Holly C. Lassila United States
Horace M. Perry United States
M. Suzanne Sheppard Canada
Hoskote S. Nagraj United States
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Citations per field
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Citations per year

Countries citing papers authored by Philip Levin

Since Specialization
Citations

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

Fields of papers citing papers by Philip Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981106
2 198091
3 201773
4 198556
5 201539
6
Comparison of assays for growth hormone using monoclonal or polyclonal antibodies for diagnosis of growth disorders.
198734
7 201133
8 198133
9 198332
10 201431
11 198625
12 201224
13 201620
14 201119
15 201616
16 202015
17 200913
18 201413
19 201511
20 20089

About Philip Levin

Philip Levin is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Molecular Biology and Genetics, having authored 48 papers that have together received 778 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes Treatment and Management (9 papers), Metabolism, Diabetes, and Cancer (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Adipose Tissue and Metabolism (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (344 citations), Aging (35 citations), Behavioral Neuroscience (31 citations), Family Practice (13 citations) and Endocrine and Autonomic Systems (36 citations). Philip Levin has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include James A. Joseph, George S. Roth, Wenhui Wei, Donald K. Ingram, Seoyoung C. Kim, Hiep Nguyen, Eric Wittbrodt, Steve Zhou, William B. Malarkey and Lee Bromberger. Their work appears in journals such as Endocrine Practice, Diabetes Obesity and Metabolism, Hormone and Metabolic Research, Diabetes Metabolic Syndrome and Obesity and Diabetes.

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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