K. Ramasharma

1.2k citations
29 papers · 1.0k indexed · h-index 17

Impact in

Papers in

K. Ramasharma

29 papers receiving 990 citations

Peers

K. Ramasharma
Comparison fields: 5 of 83
  • Reproductive Medicine 214
  • Endocrinology, Diabetes and Metabolism 401
  • Molecular Biology 591
  • Cellular and Molecular Neuroscience 136
  • Cancer Research 83
Replace Ángela R. Solano with:
Ángela R. Solano Argentina
Raymonde Veilleux Canada
Futoshi Arakane United States
Bruno Barenton France
Marco Conti United States
Pekka Leinonen Finland
J. L. TURGEON United States
Ellen Buczko United States
Miriam Verhoef‐Post Netherlands
Venkataraman Sriraman United States
K. Ramasharma relative to Ángela R. Solano Argentina Ángela R. Solano's profile →
Citations per field
00.5×2.7×
Ángela R. Solano · 1×
Citations per year

Countries citing papers authored by K. Ramasharma

Since Specialization
Citations

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

Fields of papers citing papers by K. Ramasharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199798
2 19944
3 199482
4 1992128
5 1989213
6 19881
7 19871
8 19874
9 198768
10 198719
11 198652
12 198463
13 19841
14 19832
15 19821
16 198242
17 198123
18 19811
19 197924
20
Studies on purification and characterization of sheep testicular inhibin.
19797

About K. Ramasharma

K. Ramasharma is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Hypothalamic control of reproductive hormones (7 papers), TGF-β signaling in diseases (6 papers), Chemical Synthesis and Analysis (5 papers), Connective Tissue Growth Factor Research (3 papers), Hormonal and reproductive studies (3 papers), Receptor Mechanisms and Signaling (3 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Reproductive Medicine (214 citations), Endocrinology, Diabetes and Metabolism (401 citations), Molecular Biology (591 citations), Cellular and Molecular Neuroscience (136 citations) and Cancer Research (83 citations). K. Ramasharma has collaborated with scholars based in United States, Canada and India. Frequent co-authors include M.R. Sairam, J. Ramachandran, Milton V. Marshall, Ester B. Coronado, Suzanne A.W. Fuqua, CL Arteaga, C. Kent Osborne, Choh Hao Li, George P. Miljanich and Darrell J. Yamashiro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Endocrinology, Biology of Reproduction, Advances in experimental medicine and biology and FEBS Letters.

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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2026