Vatsla Dadhwal

2.1k citations
143 papers · 1.4k · h-index 20

Impact in

Papers in

Vatsla Dadhwal

127 papers receiving 1.3k citations

Peers

Vatsla Dadhwal
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 319
  • Microbiology 162
  • Reproductive Medicine 179
  • Pediatrics, Perinatology and Child Health 283
  • Infectious Diseases 179
Replace Salvatore Alberico with:
Salvatore Alberico Italy
Sarala Gopalan India
Nanette Okun Canada
Joseph Ifeanyichukwu Ikechebelu Nigeria
Evangelos Makrakis Greece
Neena Malhotra India
Rose Anorlu Nigeria
Dimitrios Nasioudis United States
Akila Subramaniam United States
D Grové South Africa
Vatsla Dadhwal relative to Salvatore Alberico Italy Salvatore Alberico's profile →
Citations per field
00.5×4.1×
Salvatore Alberico · 1×
Citations per year

Countries citing papers authored by Vatsla Dadhwal

Since Specialization
Citations

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

Fields of papers citing papers by Vatsla Dadhwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000117
2 200779
3 200578
4 200737
5 200436
6 202135
7 200334
8 200732
9 200832
10 201832
11 201526
12 201024
13 200924
14 200023
15 200422
16 200922
17 200822
18 201722
19 201722
20 200819

About Vatsla Dadhwal

Vatsla Dadhwal is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Surgery, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 143 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (12 papers), Maternal and fetal healthcare (12 papers), Endometriosis Research and Treatment (11 papers), Uterine Myomas and Treatments (9 papers), Pregnancy and preeclampsia studies (8 papers), Reproductive System and Pregnancy (8 papers), Blood groups and transfusion (8 papers) and Ovarian cancer diagnosis and treatment (7 papers). The work is most often cited by research in Obstetrics and Gynecology (319 citations), Microbiology (162 citations), Reproductive Medicine (179 citations), Pediatrics, Perinatology and Child Health (283 citations) and Infectious Diseases (179 citations). Vatsla Dadhwal has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Suneeta Mittal, S. Mittal, Deepika Deka, Ravinder Goswami, N Kochupillai, Aparna Sharma, Nupur Gupta, Dipika Deka, Deepti Goswami and Uma Banerjee. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Archives of Gynecology and Obstetrics, Ultrasound in Obstetrics and Gynecology, Journal of Infection and Journal of Lower Genital Tract Disease.

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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