Y. Gopi Shanker

1.1k total citations
11 papers, 865 citations indexed

About

Y. Gopi Shanker is a scholar working on Molecular Biology, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Y. Gopi Shanker has authored 11 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Obstetrics and Gynecology and 3 papers in Immunology. Recurrent topics in Y. Gopi Shanker's work include Pregnancy and preeclampsia studies (3 papers), Reproductive System and Pregnancy (3 papers) and Estrogen and related hormone effects (2 papers). Y. Gopi Shanker is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Reproductive System and Pregnancy (3 papers) and Estrogen and related hormone effects (2 papers). Y. Gopi Shanker collaborates with scholars based in India, United States and Switzerland. Y. Gopi Shanker's co-authors include Robert F. Margolskee, Marianna Max, Liquan Huang, Sami Damak, Fabien Campagne, Minqing Rong, Harel Weinstein, Zhan Liu, Jenny Z. Zheng and Andrew Spielman and has published in prestigious journals such as Nature Genetics, Nature Neuroscience and Scientific Reports.

In The Last Decade

Y. Gopi Shanker

10 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y. Gopi Shanker India	9	655	564	357	198	138	11	865
Dany Gaillard France	14	451 0.7×	292 0.5×	161 0.5×	149 0.8×	58 0.4×	27	697
Shinji Kataoka Japan	15	561 0.9×	491 0.9×	324 0.9×	162 0.8×	85 0.6×	40	762
Scott Herness United States	16	698 1.1×	581 1.0×	299 0.8×	135 0.7×	186 1.3×	20	878
Sophia Rosenzweig United States	5	373 0.6×	334 0.6×	221 0.6×	174 0.9×	105 0.8×	5	595
Jennifer Spehr Germany	13	250 0.4×	310 0.5×	69 0.2×	93 0.5×	231 1.7×	14	570
Sara Janssen Belgium	8	433 0.7×	215 0.4×	113 0.3×	116 0.6×	53 0.4×	11	674
М. Ф. Быстрова Russia	13	402 0.6×	367 0.7×	217 0.6×	339 1.7×	113 0.8×	36	789
Adam P. Siebert United States	9	267 0.4×	224 0.4×	164 0.5×	391 2.0×	114 0.8×	11	804
Wenlei Ye United States	12	249 0.4×	301 0.5×	158 0.4×	471 2.4×	212 1.5×	18	834
Olga A. Rogachevskaja Russia	11	426 0.7×	413 0.7×	243 0.7×	222 1.1×	115 0.8×	23	698

Countries citing papers authored by Y. Gopi Shanker

Since Specialization

Citations

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

Fields of papers citing papers by Y. Gopi Shanker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Gopi Shanker. 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 Y. Gopi Shanker. The network helps show where Y. Gopi Shanker may publish in the future.

Co-authorship network of co-authors of Y. Gopi Shanker

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

All Works

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11 of 11 papers shown

Gomez‐Mancilla, Baltazar, Ganesan Subramanian, Thomas Faller, et al.. (2023). MIJ821 (onfasprodil) in healthy volunteers: First‐in‐human, randomized, placebo‐controlled study (single ascending dose and repeated intravenous dose). Clinical and Translational Science. 16(11). 2236–2252. 7 indexed citations

Camargo, Luiz Miguel, Mary Ellen Digan, Honglin Niu, et al.. (2017). A NMDA-receptor calcium influx assay sensitive to stimulation by glutamate and glycine/D-serine. Scientific Reports. 7(1). 11608–11608. 44 indexed citations

Max, Marianna, Y. Gopi Shanker, Liquan Huang, et al.. (2001). Tas1r3, encoding a new candidate taste receptor, is allelic to the sweet responsiveness locus Sac. Nature Genetics. 28(1). 58–63. 398 indexed citations

Max, Marianna, Y. Gopi Shanker, Liquan Huang, et al.. (2001). . Nature Genetics. 28(1). 58–63. 58 indexed citations

Rao, Veena S., et al.. (2000). Cloning and characterization of bonnet monkey GnRH receptor. Molecular Human Reproduction. 6(5). 415–421. 10 indexed citations

Huang, Liquan, Y. Gopi Shanker, Jenny Z. Zheng, et al.. (1999). Gγ13 colocalizes with gustducin in taste receptor cells and mediates IP3 responses to bitter denatonium. Nature Neuroscience. 2(12). 1055–1062. 280 indexed citations

Shanker, Y. Gopi. (1999). Progesterone receptor expression in the human placenta. Molecular Human Reproduction. 5(5). 481–486. 27 indexed citations

Shanker, Y. Gopi & Jagannadha Avasarala. (1998). Endocrine functions of the human placenta: lessons from the life line. 64(1). 35–50.

Shanker, Y. Gopi, et al.. (1998). Regulation of low density lipoprotein receptor mRNA levels by estradiol 17β and chorionic gonadotropin in human placenta. Molecular and Cellular Biochemistry. 187(1-2). 133–139. 12 indexed citations

10.

Shanker, Y. Gopi, S. Chidananda Sharma, & Jagannadha Avasarala. (1997). Expression of progesterone receptor mRNA in the first trimester human placenta. IUBMB Life. 42(6). 1235–1240. 12 indexed citations

11.

Shanker, Y. Gopi, et al.. (1997). Regulation of progresterone biosynthesis in the human placenta by estradiol 17β and progesterone. IUBMB Life. 43(3). 591–599. 17 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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