Шломо Мелмед
- Endocrinology, Diabetes and Metabolism top 0.01%
- Pituitary Gland Disorders and Treatments 286
- Growth Hormone and Insulin-like Growth Factors 282
- Genetics top 0.1%
- Glioma Diagnosis and Treatment 37
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 73
- Behavioral Neuroscience top 0.5%
- Epidemiology top 0.2%
- Neuroendocrine Tumor Research Advances 61
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- Adrenal and Paraganglionic Tumors 68
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- Reproductive System and Pregnancy 32
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- Cytokine Signaling Pathways and Interactions 30
- Co-authors
- John WassAnthony P. HeaneyAnat Ben-ShlomoFelipe F. CasanuevaShunichi YamashitaDavid L. KleinbergAndrea GiustinaVera Chesnokova
- Journals
- New England Journal of Medicine (5 papers)Proceedings of the National Academy of Sciences (10 papers)The Lancet (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Шломо Мелмед
467 papers receiving 30.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Endocrinology, Diabetes and Metabolism 23.1k
- Genetics 3.4k
- Cancer Research 2.9k
- Behavioral Neuroscience 662
- Epidemiology 6.0k
Countries citing papers authored by Шломо Мелмед
This map shows the geographic impact of Шломо Мелмед'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 Шломо Мелмед with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Шломо Мелмед more than expected).
Fields of papers citing papers by Шломо Мелмед
This network shows the impact of papers produced by Шломо Мелмед. 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 Шломо Мелмед. The network helps show where Шломо Мелмед may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Шломо Мелмед, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 16 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 14 | |
| 4 | 2011 | 97 | |
| 5 | 2010 | 157 | |
| 6 | 2010 | 54 | |
| 7 | 2009 | 25 | |
| 8 | Guidelines for Acromegaly Management: An Updatebreakdown → | 2009 | 549 |
| 9 | 2009 | 51 | |
| 10 | 2008 | 113 | |
| 11 | 2008 | 59 | |
| 12 | 2008 | 207 | |
| 13 | 2007 | 81 | |
| 14 | 2003 | 144 | |
| 15 | 2002 | 122 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 86 | |
| 18 | 2000 | 22 | |
| 19 | 1999 | 323 | |
| 20 | 1996 | 90 |
About Шломо Мелмед
Шломо Мелмед is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Behavioral Neuroscience, having authored 477 papers that have together received 31.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (286 papers), Growth Hormone and Insulin-like Growth Factors (282 papers), Cancer, Hypoxia, and Metabolism (73 papers), Adrenal and Paraganglionic Tumors (68 papers), Neuroendocrine Tumor Research Advances (61 papers), Glioma Diagnosis and Treatment (37 papers), Reproductive System and Pregnancy (32 papers) and Cytokine Signaling Pathways and Interactions (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (23.1k citations), Genetics (3.4k citations) and Cancer Research (2.9k citations). Шломо Мелмед has collaborated with scholars based in United States, Germany and France. Frequent co-authors include John Wass, Anthony P. Heaney, Anat Ben-Shlomo, Felipe F. Casanueva, Shunichi Yamashita, David L. Kleinberg, Andrea Giustina, Vera Chesnokova, Christoph J. Auernhammer and Philippe Chanson. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.