N. Kumar

529 total citations
11 papers, 421 citations indexed

About

N. Kumar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, N. Kumar has authored 11 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in N. Kumar's work include Hormonal and reproductive studies (10 papers), Sexual Differentiation and Disorders (4 papers) and Hypothalamic control of reproductive hormones (2 papers). N. Kumar is often cited by papers focused on Hormonal and reproductive studies (10 papers), Sexual Differentiation and Disorders (4 papers) and Hypothalamic control of reproductive hormones (2 papers). N. Kumar collaborates with scholars based in United States, Belgium and India. N. Kumar's co-authors include K. Sundaram, C. Wayne Bardin, Carl Monder, Régine Sitruk‐Ware, James F. Catterall, Anne Crozat, P. Lähteenmäki, Y.Y. Tsong, Janne Suvisaari and Gabriela Noé and has published in prestigious journals such as Scientific Reports, Endocrinology and Human Reproduction.

In The Last Decade

N. Kumar

11 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N. Kumar United States 8 267 128 123 122 121 11 421
R. S. Swerdloff United States 13 170 0.6× 71 0.6× 130 1.1× 200 1.6× 50 0.4× 17 473
Christina Wang United States 4 151 0.6× 68 0.5× 195 1.6× 384 3.1× 168 1.4× 6 571
M. D. Mansfield United Kingdom 11 212 0.8× 79 0.6× 135 1.1× 185 1.5× 60 0.5× 16 512
B. de la Torre Sweden 16 234 0.9× 62 0.5× 70 0.6× 174 1.4× 61 0.5× 34 496
Ming-kong Huang China 4 128 0.5× 60 0.5× 131 1.1× 98 0.8× 95 0.8× 7 345
Marion Depenbusch Germany 9 182 0.7× 137 1.1× 215 1.7× 250 2.0× 124 1.0× 20 448
Gregory C. Doelle United States 7 296 1.1× 64 0.5× 90 0.7× 307 2.5× 79 0.7× 11 500
Selene Degl’Innocenti Italy 8 55 0.2× 107 0.8× 126 1.0× 243 2.0× 134 1.1× 17 380
M C Raux-Demay France 16 548 2.1× 167 1.3× 433 3.5× 113 0.9× 54 0.4× 26 806

Countries citing papers authored by N. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by N. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Kumar. A scholar is included among the top collaborators of N. Kumar 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 N. Kumar. N. Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Anawalt, Bradley D., Mara Y. Roth, John K. Amory, et al.. (2019). Combined nestorone–testosterone gel suppresses serum gonadotropins to concentrations associated with effective hormonal contraception in men. Andrology. 7(6). 878–887. 37 indexed citations
2.
Mukhopadhyay, Suchetana, Yupu Liang, Hong Hur, et al.. (2019). Comparative transcriptome analysis of the human endocervix and ectocervix during the proliferative and secretory phases of the menstrual cycle. Scientific Reports. 9(1). 13494–13494. 7 indexed citations
3.
Zitzmann, Michael, Julia Rohayem, Johanna Raidt, et al.. (2017). Impact of various progestins with or without transdermal testosterone on gonadotropin levels for non‐invasive hormonal male contraception: a randomized clinical trial. Andrology. 5(3). 516–526. 17 indexed citations
4.
Sinnesael, Mieke, Filip Callewaert, N. Kumar, et al.. (2011). 7α-methyl-19-nortestosterone vs. testosterone implants for hypogonadal osteoporosis: a preclinical study in the aged male orchidectomized rat model. International Journal of Andrology. 34(6pt2). e601–e611. 7 indexed citations
5.
Kumar, N.. (2000). Nestorone®: a progestin with a unique pharmacological profile. Steroids. 65(10-11). 629–636. 158 indexed citations
6.
Bandivdekar, A. H., Richard M. Karp, K. Sundaram, & N. Kumar. (2000). The antigonadotropic action of testosterone but not 7alpha-methyl-19-nortestosterone is attenuated through the 5alpha-reductase pathway in the castrated male rat pituitary gland.. PubMed. 21(2). 268–75. 6 indexed citations
7.
Kumar, N., et al.. (1999). 7α-methyl-19-nortestosterone, a synthetic androgen with high potency: structure-activity comparisons with other androgens. The Journal of Steroid Biochemistry and Molecular Biology. 71(5-6). 213–222. 27 indexed citations
8.
Suvisaari, Janne, K. Sundaram, Gabriela Noé, et al.. (1997). Pharmacokinetics and pharmacodynamics of 7alpha-methyl-19- nortestosterone after intramuscular administration in healthy men. Human Reproduction. 12(5). 967–973. 28 indexed citations
9.
Kumar, N.. (1995). Mechanism of androgen-induced thymolysis in rats. Endocrinology. 136(11). 4887–4893. 23 indexed citations
11.

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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