Kushal Kapse

1.6k citations
63 papers · 1.0k · h-index 19

Impact in

Papers in

Kushal Kapse

54 papers receiving 991 citations

Peers

Kushal Kapse
Comparison fields: 5 of 82
  • Pediatrics, Perinatology and Child Health 352
  • Obstetrics and Gynecology 92
  • Cognitive Neuroscience 230
  • Public Health, Environmental and Occupational Health 182
  • Radiology, Nuclear Medicine and Imaging 126
Replace Aulikki Lano with:
Aulikki Lano Finland
Josepheen De Asis‐Cruz United States
Cristina Borradori Tolsa Switzerland
Tresa M. Roebuck United States
Hans C. Lou Denmark
Sylvie Nguyen The Tich France
John Nathan Dieter United States
Sven Rupprecht Germany
Andrew Powls United Kingdom
Sarah Raz United States
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Citations per field
00.5×3.3×
Aulikki Lano · 1×
Citations per year

Countries citing papers authored by Kushal Kapse

Since Specialization
Citations

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

Fields of papers citing papers by Kushal Kapse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 202081
3 201572
4 202256
5 202052
6 202044
7 201641
8 202141
9 201940
10 202039
11 202039
12 201631
13 202028
14 202225
15 202023
16 202220
17 202019
18 202018
19 202118
20 202014

About Kushal Kapse

Kushal Kapse is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Cognitive Neuroscience, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (12 papers), Neonatal and fetal brain pathology (12 papers), Functional Brain Connectivity Studies (9 papers), Pregnancy and preeclampsia studies (6 papers), COVID-19 Impact on Reproduction (5 papers), Advanced MRI Techniques and Applications (5 papers), Neurobiology of Language and Bilingualism (4 papers) and Infant Development and Preterm Care (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (352 citations), Obstetrics and Gynecology (92 citations), Cognitive Neuroscience (230 citations), Public Health, Environmental and Occupational Health (182 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Kushal Kapse has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Catherine Limperopoulos, Nickie Andescavage, Gilbert Vézina, Marni Jacobs, Yao Wu, Swathi Kiran, Jessica Quistorff, Erin L. Meier, Catherine Lopez and Subechhya Pradhan. Their work appears in journals such as Cerebral Cortex, JAMA Network Open, Scientific Reports, Clinical Neurophysiology and Placenta.

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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