M Kaplan

2.0k citations
31 papers · 1.5k · h-index 19

Impact in

    • Thyroid Disorders and Treatments
    • Thyroid Cancer Diagnosis and Treatment
    • Growth Hormone and Insulin-like Growth Factors
    • Pituitary Gland Disorders and Treatments
  • Hepatology top 5%
    • Liver Diseases and Immunity

Papers in

M Kaplan

28 papers receiving 1.4k citations

Peers

M Kaplan
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 672
  • Hepatology 252
  • Endocrine and Autonomic Systems 89
  • Physiology 267
  • Epidemiology 355
Replace Fumiaki Marumo with:
Fumiaki Marumo Japan
Toshitsugu Oda Japan
Jan A. Redick United States
Carolyn D. Scott Australia
Guoli Dai United States
Kunihiro Suzuki Japan
Christine Gervy Belgium
Akihiro Mori Japan
Shi Yin China
William G. Hammond United States
M Kaplan relative to Fumiaki Marumo Japan Fumiaki Marumo's profile →
Citations per field
00.5×2.6×
Fumiaki Marumo · 1×
Citations per year

Countries citing papers authored by M Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by M Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988230
2 1982197
3 1980191
4 1994130
5 1979127
6 199188
7 199172
8 199069
9 197967
10 198144
11 197838
12 198837
13 199934
14 197832
15 199222
16 200121
17
Clinical perspectives in the diagnosis of thyroid disease.
199921
18 199319
19 199218
20 199317

About M Kaplan

M Kaplan is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Hepatology, Physiology and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Diseases and Immunity (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Liver Disease and Transplantation (4 papers), Tuberculosis Research and Epidemiology (2 papers), Neonatal Health and Biochemistry (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (672 citations), Hepatology (252 citations), Endocrine and Autonomic Systems (89 citations), Physiology (267 citations) and Epidemiology (355 citations). M Kaplan has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include P R Larsen, Tamsin A. Knox, T. J. Visser, Jack L. Leonard, V. R. Young, Thomas E. Dick, P. Reed Larsen, M N Goodman, T. T. Aoki and Neil B. Ruderman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Gastroenterology, Journal of Clinical Investigation, JNCI Journal of the National Cancer Institute and Annals of Internal Medicine.

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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