Madhabananda Sar

13.5k citations
107 papers · 10.9k indexed · 4 hit papers · h-index 52

Madhabananda Sar

106 papers receiving 10.5k citations

Hit Papers

Generation and reproductive phenotypes of mice lac...1.4k19782026199420104008001.2k

Peers

Madhabananda Sar
Comparison fields: 5 of 146
  • Behavioral Neuroscience 1.1k
  • Reproductive Medicine 2.1k
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Genetics 3.8k
  • Health, Toxicology and Mutagenesis 1.3k
Replace Nira Ben‐Jonathan with:
Nira Ben‐Jonathan United States
Hubertus Jarry Germany
Markku Pelto‐Huikko Finland
Andrée Krust France
Van Luu‐The Canada
Darrell W. Brann United States
Henry G. Friesen Canada
Sergio R. Ojeda United States
Paul A. Kelly France
Phyllis M. Wise United States
Madhabananda Sar relative to Nira Ben‐Jonathan United States Nira Ben‐Jonathan's profile →
Citations per field
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Nira Ben‐Jonathan · 1×
Citations per year

Countries citing papers authored by Madhabananda Sar

Since Specialization
Citations

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

Fields of papers citing papers by Madhabananda Sar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200614
2 200526
3 200418
4 200221
5 2002265
6 1999368
7 199887
8 199810
9 1997288
10 1995279
11 199161
12 199112
13 199046
14 199051
15 1990418
16 198927
17
The Human Androgen Receptor: Complementary Deoxyribonucleic Acid Cloning, Sequence Analysis and Gene Expression in Prostatebreakdown →
1988461
18 198821
19 19886
20 198868

About Madhabananda Sar

Madhabananda Sar is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 107 papers that have together received 10.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (37 papers), Hypothalamic control of reproductive hormones (24 papers), Hormonal and reproductive studies (17 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Reproductive System and Pregnancy (9 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Reproductive Medicine (2.1k citations) and Endocrinology, Diabetes and Metabolism (2.8k citations). Madhabananda Sar has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Walter E. Stumpf, Elizabeth M. Wilson, John A. Cidlowski, Dennis B. Lubahn, Hector F. DeLuca, Robert H. Oakley, Paul M.D. Foster, Eve Mylchreest, Richard J. Miller and Kwen‐Jen Chang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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