Kaushik Maiti

1.5k citations
33 papers · 1.2k indexed · h-index 20

Kaushik Maiti

31 papers receiving 1.1k citations

Peers

Kaushik Maiti
Comparison fields: 5 of 106
  • Obstetrics and Gynecology 419
  • Reproductive Medicine 198
  • Pediatrics, Perinatology and Child Health 313
  • Immunology 232
  • Physiology 31
Replace M.H.F. Sullivan with:
M.H.F. Sullivan United Kingdom
Marie‐Noëlle Dieudonné France
Miklós Molnár Hungary
A. N. Brooks United Kingdom
Wing Yee Kwong United Kingdom
Jennifer C. Condon United States
Marianne Hope Abel Norway
Hong‐wa Yung United Kingdom
Marie Pantaleon Australia
Alicia Jawerbaum Argentina
Kaushik Maiti relative to M.H.F. Sullivan United Kingdom M.H.F. Sullivan's profile →
Citations per field
00.5×6.1×
M.H.F. Sullivan · 1×
Citations per year

Countries citing papers authored by Kaushik Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20240
3 202323
4 202321
5 20222
6 20198
7 2017109
8 201425
9 20139
10 201345
11 201227
12 201110
13 201154
14 200944
15 200784
16 200522
17
Position of Pro and Ser near Glu7.32 in the extracellular loop 3 of mammalian and nonmammalian gonadotropin-releasing hormone (GnRH) receptors is a critical determinant for differential ligand selectivity for mammalian GnRH and chicken GnRH-II.
20047
18 200317
19 200334
20 200323

About Kaushik Maiti

Kaushik Maiti is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Hypothalamic control of reproductive hormones (9 papers), Reproductive System and Pregnancy (8 papers), Birth, Development, and Health (7 papers), Estrogen and related hormone effects (7 papers), Receptor Mechanisms and Signaling (4 papers), Extracellular vesicles in disease (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Obstetrics and Gynecology (419 citations), Reproductive Medicine (198 citations) and Pediatrics, Perinatology and Child Health (313 citations). Kaushik Maiti has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Roger Smith, Zakia Sultana, R. John Aitken, Jonathan Morris, Jae Young Seong, Hyuk Bang Kwon, Jonathan Paúl, Jorge M. Tolosa, Simon C. Riley and Vicki L. Clifton. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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