Subburaman Mohan

1.5k citations
18 papers · 1.0k indexed · h-index 12
Topics
Bone health and treatments (6 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)Bone Metabolism and Diseases (6 papers)
Partner nations
United StatesGermany

In The Last Decade

Subburaman Mohan

18 papers receiving 1.0k citations

Peers

Subburaman Mohan
Comparison fields: 5 of 95
  • Molecular Biology 469
  • Endocrinology, Diabetes and Metabolism 399
  • Oncology 252
  • Orthopedics and Sports Medicine 249
  • Genetics 137
Replace Lawrence B. Riggs with:
Lawrence B. Riggs United States
S Bord United Kingdom
K J Ibbotson United States
J T Triffitt United Kingdom
Sheila Rydziel United States
Hiroshi Tsurukami Japan
Toshinori Ishizuya Japan
Elizabeth C. Wahl United States
Yusuke Shinoda Japan
R.L. van Bezooijen Netherlands
Subburaman Mohan relative to Lawrence B. Riggs United States Lawrence B. Riggs's profile →
Citations per field
00.5×1.5×1.8×
Lawrence B. Riggs · 1×
Citations per year

Countries citing papers authored by Subburaman Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Subburaman Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subburaman Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Subburaman Mohan. A scholar is included among the top collaborators of Subburaman Mohan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Subburaman Mohan. Subburaman Mohan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 8
2 6
3 6
4 15
5 64
6 221
7 11
8 34
9 120
10 66
11 24
12 10
13 3
14 41
15 175
16 68
17 159
18 16

About Subburaman Mohan

Subburaman Mohan is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone health and treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (249 citations), Endocrinology, Diabetes and Metabolism (399 citations) and Urology (61 citations). Subburaman Mohan has collaborated with scholars based in United States and Germany. Frequent co-authors include Thomas A. Linkhart, David J. Baylink, Reinhard Gysin, Xuezhong Qin, Donna D. Strong, John C. Jennings, David J. Baylink, David J. Baylink, Florence Trémollières and Weikuan Gu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

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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