Manisha Kumar

633 citations
65 papers · 420 · h-index 11

Impact in

Papers in

Manisha Kumar

54 papers receiving 397 citations

Peers

Manisha Kumar
Comparison fields: 5 of 51
  • Obstetrics and Gynecology 167
  • Health Informatics 19
  • Pediatrics, Perinatology and Child Health 95
  • Public Health, Environmental and Occupational Health 72
  • Genetics 18
Replace Nicola Fratelli with:
Nicola Fratelli Italy
Dong Wook Kwak South Korea
José Antonio Sainz‐Bueno Spain
Tommaso Bignardi Australia
Dominique A. Badr Belgium
Peter von Théobald France
Kyriaki Avgidou United Kingdom
Andrea Di Lieto Italy
Helen How United States
Ching-Chang Hsieh Taiwan
Manisha Kumar relative to Nicola Fratelli Italy Nicola Fratelli's profile →
Citations per field
00.5×2×3×4×4.8×
Nicola Fratelli · 1×
Citations per year

Countries citing papers authored by Manisha Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201034
3 202128
4 202025
5 201723
6 201519
7 201417
8 201416
9 202115
10 201614
11 201913
12 201311
13 201611
14 201611
15 201610
16 20139
17 20189
18 20189
19 20178
20 20188

About Manisha Kumar

Manisha Kumar is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Surgery, Public Health, Environmental and Occupational Health and Genetics, having authored 65 papers that have together received 420 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (21 papers), Prenatal Screening and Diagnostics (8 papers), Congenital Anomalies and Fetal Surgery (7 papers), Reproductive Health and Contraception (4 papers), Fetal and Pediatric Neurological Disorders (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Global Maternal and Child Health (3 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (167 citations), Health Informatics (19 citations), Pediatrics, Perinatology and Child Health (95 citations), Public Health, Environmental and Occupational Health (72 citations) and Genetics (18 citations). Manisha Kumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Abha Singh, Ritu Singh, Sumedha Sharma, Shalini Singh, Jyoti Meena, Jayashree Bhattacharjee, Anuradha Singh, Archana Puri, Rama Anand and Aruna Nigam. Their work appears in journals such as International Journal of Gynecology & Obstetrics, The Journal of Maternal-Fetal & Neonatal Medicine, Pregnancy Hypertension, Placenta and Hypertension in Pregnancy.

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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