Deepa Pandit

11 papers receiving 381 citations

Peers

Deepa Pandit
Comparison fields: 5 of 67
  • Public Health, Environmental and Occupational Health 192
  • Nutrition and Dietetics 44
  • Pediatrics, Perinatology and Child Health 44
  • Endocrinology, Diabetes and Metabolism 35
  • Reproductive Medicine 16
Replace Thiago Luiz Nogueira da Silva with:
Thiago Luiz Nogueira da Silva Brazil
Meenal Dhall India
Noureddine Achour Tunisia
Anthony Onuzuruike United States
Eliane Rodrigues de Faria Brazil
Ahmad Ali Zainuddin Malaysia
Chong Guk Lee South Korea
Patrícia Feliciano Pereira Brazil
Judy Kim United States
Neda Esmailzadehha Iran
Deepa Pandit relative to Thiago Luiz Nogueira da Silva Brazil Thiago Luiz Nogueira da Silva's profile →
Citations per field
00.5×3.5×
Thiago Luiz Nogueira da Silva · 1×
Citations per year

Countries citing papers authored by Deepa Pandit

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Pandit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Deepa Pandit, 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 Deepa Pandit Line = papers co-authored together Deepa Pandit links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015130
2 201091
3 201144
4 201340
5 201128
6 200921
7 201214
8 201514
9
A pilot study on CD4 & CD8 cell counts in healthy HIV seronegative pregnant women.
20039
10 20116
11
Evaluation of risk of atherosclerosis in Indian adults.
20131

About Deepa Pandit

Deepa Pandit is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Virology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 11 papers that have together received 398 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (3 papers), Body Composition Measurement Techniques (1 paper), Gestational Diabetes Research and Management (1 paper), HIV/AIDS Research and Interventions (1 paper), Estrogen and related hormone effects (1 paper), Menstrual Health and Disorders (1 paper), HIV Research and Treatment (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (192 citations), Nutrition and Dietetics (44 citations), Pediatrics, Perinatology and Child Health (44 citations), Endocrinology, Diabetes and Metabolism (35 citations) and Reproductive Medicine (16 citations). Deepa Pandit has collaborated with scholars based in India, Mexico and Czechia. Frequent co-authors include Anuradha Khadilkar, Shashi Chiplonkar, Vaman Khadilkar, Tim Cole, Arun S. Kinare, Neha Sanwalka, Veena Ekbote, Dinesh Kumar, Renu Bharadwaj and Poonam Kumari. Their work appears in journals such as International Journal of Obesity, Journal of the American College of Nutrition, Journal of Immunoassay and Immunochemistry, Journal of Pediatric Endocrinology and Metabolism and PubMed.

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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