Dimple Rawat

428 citations
15 papers · 268 · h-index 7

Impact in

Papers in

Dimple Rawat

15 papers receiving 261 citations

Peers

Dimple Rawat
Comparison fields: 5 of 81
  • Nutrition and Dietetics 85
  • Infectious Diseases 77
  • Pathology and Forensic Medicine 64
  • Neurology 44
  • Clinical Psychology 50
Replace Jessie Nallely Zurita‐Cruz with:
Jessie Nallely Zurita‐Cruz Mexico
Giuseppina Grugnetti Italy
Naemah M. Alshingetti Saudi Arabia
Aarti Thakkar United States
Tahir Kemal Şahin Türkiye
Pieralessandro Lasalvia Colombia
Seyed Mehdi Ahmadi Iran
Adeolu Oladunjoye United States
Sushil Jindal India
Lola Neufcourt France
Dimple Rawat relative to Jessie Nallely Zurita‐Cruz Mexico Jessie Nallely Zurita‐Cruz's profile →
Citations per field
00.5×2.8×
Jessie Nallely Zurita‐Cruz · 1×
Citations per year

Countries citing papers authored by Dimple Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Dimple Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202177
2 202169
3 202161
4 202012
5 20238
6 20217
7 20216
8 20216
9 20206
10 20245
11 20223
12 20252
13 20242
14 20232
15 20062

About Dimple Rawat

Dimple Rawat is a scholar working on Surgery, Obstetrics and Gynecology, Nutrition and Dietetics, Infectious Diseases and Clinical Psychology, having authored 15 papers that have together received 268 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Gestational Diabetes Research and Management (4 papers), Bariatric Surgery and Outcomes (3 papers), Acute Ischemic Stroke Management (2 papers), Vitamin C and Antioxidants Research (2 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 and Mental Health (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Nutrition and Dietetics (85 citations), Infectious Diseases (77 citations), Pathology and Forensic Medicine (64 citations), Neurology (44 citations) and Clinical Psychology (50 citations). Dimple Rawat has collaborated with scholars based in India, Netherlands and Saudi Arabia. Frequent co-authors include Arti Gulati, Dalim Kumar Baidya, Souvik Maitra, Vivek Dixit, Puneet Khanna, Amit Kumar, Kameshwar Prasad, Amit Kumar, Adel Alhazzani and Mubarak Al‐Gahtany. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Diabetes Obesity and Metabolism, Journal of Stroke and Cerebrovascular Diseases, Taiwanese Journal of Obstetrics and Gynecology and Anaesthesiology Intensive Therapy.

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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