Ram Kumar Menon

5.1k citations
139 papers · 4.3k · h-index 38

Impact in

Papers in

Ram Kumar Menon

134 papers receiving 4.1k citations

Peers

Ram Kumar Menon
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Obstetrics and Gynecology 343
  • Nephrology 275
  • Pediatrics, Perinatology and Child Health 637
  • Endocrine and Autonomic Systems 157
Replace JOHN P. MIELL with:
JOHN P. MIELL United Kingdom
Sayuko Kobes United States
Abel López‐Bermejo Spain
Masataka Kudo Japan
Jeffrey M P Holly United Kingdom
Siim Sõber Estonia
Iris Zamir Jaffe United States
Ewa Zukowska-Szczechowska Poland
R. Ariel Gómez United States
Hans J. Arnqvist Sweden
Ram Kumar Menon relative to JOHN P. MIELL United Kingdom JOHN P. MIELL's profile →
Citations per field
00.5×2×3.2×
JOHN P. MIELL · 1×
Citations per year

Countries citing papers authored by Ram Kumar Menon

Since Specialization
Citations

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

Fields of papers citing papers by Ram Kumar Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Kumar Menon. 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 Ram Kumar Menon. The network helps show where Ram Kumar Menon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997376
2 1994288
3 2009229
4 1990155
5 1990147
6 2014132
7 2006130
8 200896
9 200194
10 200385
11 198782
12 199872
13 200170
14 199270
15 200265
16 198759
17 200558
18 201057
19 201157
20 201356

About Ram Kumar Menon

Ram Kumar Menon is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Obstetrics and Gynecology and Nephrology, having authored 139 papers that have together received 4.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (39 papers), Pancreatic function and diabetes (27 papers), Metabolism, Diabetes, and Cancer (16 papers), Diabetes and associated disorders (10 papers), Diabetes Management and Research (8 papers), Gestational Diabetes Research and Management (8 papers), Renal Diseases and Glomerulopathies (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Obstetrics and Gynecology (343 citations), Nephrology (275 citations), Pediatrics, Perinatology and Child Health (637 citations) and Endocrine and Autonomic Systems (157 citations). Ram Kumar Menon has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Mark A. Sperling, Wayne S. Cutfield, Richard N. Bergman, Sherin U. Devaskar, Gary Schwartzbauer, Paresh Dandona, Chunxia Lü, Paul Leslie Hofman, Peter David Gluckman and Elizabeth M. Robinson. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Molecular Endocrinology and Metabolism.

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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