M. Jeyakumar

894 total citations
19 papers, 746 citations indexed

About

M. Jeyakumar is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, M. Jeyakumar has authored 19 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in M. Jeyakumar's work include Estrogen and related hormone effects (12 papers), Retinoids in leukemia and cellular processes (8 papers) and Reproductive Biology and Fertility (3 papers). M. Jeyakumar is often cited by papers focused on Estrogen and related hormone effects (12 papers), Retinoids in leukemia and cellular processes (8 papers) and Reproductive Biology and Fertility (3 papers). M. Jeyakumar collaborates with scholars based in United States, India and Germany. M. Jeyakumar's co-authors include John A. Katzenellenbogen, Milan K. Bagchi, Xun Zhang, Kathryn E. Carlson, Michael Tanen, Sung Hoon Kim, Jillian R. Gunther, N. R. Moudgal, Vincent M. Carroll and Zeynep Madak‐Erdogan and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

M. Jeyakumar

19 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Jeyakumar United States 14 406 372 129 105 73 19 746
G.A. Puca Italy 15 402 1.0× 445 1.2× 116 0.9× 71 0.7× 36 0.5× 23 846
Marc J. Besman United States 9 277 0.7× 389 1.0× 98 0.8× 42 0.4× 99 1.4× 10 782
Scott Cosmi United States 17 115 0.3× 168 0.5× 84 0.7× 103 1.0× 34 0.5× 23 582
Gilles Leblanc Canada 14 606 1.5× 493 1.3× 781 6.1× 55 0.5× 110 1.5× 14 1.3k
Klaus Schieweck Switzerland 12 347 0.9× 133 0.4× 78 0.6× 93 0.9× 76 1.0× 21 659
V. Cavett United States 17 191 0.5× 624 1.7× 31 0.2× 94 0.9× 10 0.1× 23 990
Marie‐Claire Lebeau France 17 190 0.5× 690 1.9× 138 1.1× 137 1.3× 46 0.6× 32 943
Slobodan Milovanović Serbia 14 75 0.2× 169 0.5× 85 0.7× 136 1.3× 59 0.8× 29 531
L. Bokser United States 15 142 0.3× 262 0.7× 217 1.7× 81 0.8× 311 4.3× 25 752
H. Joseph Goren Canada 16 109 0.3× 624 1.7× 125 1.0× 41 0.4× 37 0.5× 58 1.0k

Countries citing papers authored by M. Jeyakumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Jeyakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Jeyakumar

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

All Works

19 of 19 papers shown
1.
Jiang, Yan, Ping Gong, Zeynep Madak‐Erdogan, et al.. (2013). Mechanisms enforcing the estrogen receptor β selectivity of botanical estrogens. The FASEB Journal. 27(11). 4406–4418. 95 indexed citations
2.
Lee, Jae Hak, Olaf Peters, Lutz Lehmann, et al.. (2012). Synthesis and biological evaluation of two agents for imaging estrogen receptor β by positron emission tomography: challenges in PET imaging of a low abundance target. Nuclear Medicine and Biology. 39(8). 1105–1116. 13 indexed citations
3.
Fowler, Amy M., Szeman Ruby Chan, Terry L. Sharp, et al.. (2012). Small-Animal PET of Steroid Hormone Receptors Predicts Tumor Response to Endocrine Therapy Using a Preclinical Model of Breast Cancer. Journal of Nuclear Medicine. 53(7). 1119–1126. 54 indexed citations
4.
Jeyakumar, M., Kathryn E. Carlson, Jillian R. Gunther, & John A. Katzenellenbogen. (2011). Exploration of Dimensions of Estrogen Potency. Journal of Biological Chemistry. 286(15). 12971–12982. 70 indexed citations
5.
Carroll, Vincent M., M. Jeyakumar, Kathryn E. Carlson, & John A. Katzenellenbogen. (2011). Diarylpropionitrile (DPN) Enantiomers: Synthesis and Evaluation of Estrogen Receptor β-Selective Ligands. Journal of Medicinal Chemistry. 55(1). 528–537. 40 indexed citations
7.
Jeyakumar, M., Paul Webb, John D. Baxter, Thomas S. Scanlan, & John A. Katzenellenbogen. (2008). Quantification of Ligand-Regulated Nuclear Receptor Corepressor and Coactivator Binding, Key Interactions Determining Ligand Potency and Efficacy for the Thyroid Hormone Receptor. Biochemistry. 47(28). 7465–7476. 33 indexed citations
9.
Kim, Sung Hoon, M. Jeyakumar, & John A. Katzenellenbogen. (2007). Dual-Mode Fluorophore-Doped Nickel Nitrilotriacetic Acid-Modified Silica Nanoparticles Combine Histidine-Tagged Protein Purification with Site-Specific Fluorophore Labeling. Journal of the American Chemical Society. 129(43). 13254–13264. 64 indexed citations
10.
Lupien, Mathieu, M. Jeyakumar, Khalid Hilmi, et al.. (2007). Raloxifene and ICI182,780 Increase Estrogen Receptor-α Association with a Nuclear Compartment via Overlapping Sets of Hydrophobic Amino Acids in Activation Function 2 Helix 12. Molecular Endocrinology. 21(4). 797–816. 36 indexed citations
11.
Vasanth, Krishnan, et al.. (2002). In vitro plant regeneration from shoot tip explants of Panicum sumatrence. SPIRE - Sciences Po Institutional REpository. 3. 111–116. 1 indexed citations
12.
Jeyakumar, M. & N. Jayabalan. (2000). An efficient method for regeneration of plantlets from nodal explants of Psoralea corylifolia Linn.. SPIRE - Sciences Po Institutional REpository. 1. 37–40. 3 indexed citations
13.
Zhang, Xun, et al.. (1998). A Nuclear Receptor Corepressor Modulates Transcriptional Activity of Antagonist-Occupied Steroid Hormone Receptor. Molecular Endocrinology. 12(4). 513–524. 144 indexed citations
14.
Jeyakumar, M., Michael Tanen, & Milan K. Bagchi. (1997). Analysis of the Functional Role of Steroid Receptor Coactivator-1 in Ligand-Induced Transactivation by Thyroid Hormone Receptor. Molecular Endocrinology. 11(6). 755–767. 38 indexed citations
15.
Jeyakumar, M., et al.. (1997). Demonstration of complimentarity between monoclonal antibodies (MAbs) to human chorionic gonadotropin (hCG) and polyclonal antibodies to luteinizing hormone/hCG receptor (LH-R) and their use in better understanding hormone-receptor interaction.. PubMed. 7(4). 299–310. 1 indexed citations
16.
Jeyakumar, M. & N. R. Moudgal. (1996). Immunization of male rabbits with sheep luteal receptor to LH results in production of antibodies exhibiting hormone-agonistic and -antagonistic activities. Journal of Endocrinology. 150(3). 431–443. 10 indexed citations
17.
Zhang, Xun, M. Jeyakumar, & Milan K. Bagchi. (1996). Ligand-dependent Cross-talk between Steroid and Thyroid Hormone Receptors. Journal of Biological Chemistry. 271(25). 14825–14833. 33 indexed citations
18.
19.
Jeyakumar, M., et al.. (1995). Changes in testicular function following specific deprivation of LH in the adult male rabbit. Journal of Endocrinology. 147(1). 111–120. 22 indexed citations

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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