Kanika Ghai

717 citations
12 papers · 402 · h-index 11

Impact in

Papers in

Kanika Ghai

12 papers receiving 389 citations

Peers

Kanika Ghai
Comparison fields: 5 of 71
  • Reproductive Medicine 111
  • Developmental Neuroscience 51
  • Ophthalmology 39
  • Neurology 29
  • Cellular and Molecular Neuroscience 63
Replace Margaret Au with:
Margaret Au United States
B D Weintraub United States
María Paz Nieto‐Bona Spain
Sumiko Magari Japan
Tammi L. Reza United States
Lorryn Fisher New Zealand
Juha Lehtosalo Finland
K Janssen Germany
Eda Mengen Türkiye
Melissa Andrew United States
Kanika Ghai relative to Margaret Au United States Margaret Au's profile →
Citations per field
00.5×3.6×
Margaret Au · 1×
Citations per year

Countries citing papers authored by Kanika Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Kanika Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201085
2
Diagnosis of the polycystic ovary syndrome in adolescence: comparison of adolescent and adult hyperandrogenism.
200071
3 200945
4 199541
5 201239
6 200739
7 200928
8 199417
9 199313
10 200712
11
Urinary tract infections in cocaine-exposed infants.
199511
12
Visual Function in Mice with Conditional, Retina-specific Disruption of the Tyrosine Hydroxylase Gene: Differential Roles of Dopamine D1 and D4 Receptors
20111

About Kanika Ghai

Kanika Ghai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Developmental Neuroscience and Reproductive Medicine, having authored 12 papers that have together received 402 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Ovarian function and disorders (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Sexual Differentiation and Disorders (2 papers), Reproductive Biology and Fertility (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Reproductive Medicine (111 citations), Developmental Neuroscience (51 citations), Ophthalmology (39 citations), Neurology (29 citations) and Cellular and Molecular Neuroscience (63 citations). Kanika Ghai has collaborated with scholars based in United States and China. Frequent co-authors include Andy J. Fischer, Robert L. Rosenfield, Christopher Zelinka, David A. Ehrmann, Randall B. Barnes, José Cara, Jennifer J. Stanke, Michele Herzer, Keqiang Ye and Xia Liu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Neurochemistry, The Journal of Comparative Neurology, Journal of Developmental & Behavioral Pediatrics and Brain Research.

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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