Divya Bajpai

805 citations
42 papers · 372 · h-index 10

Impact in

Papers in

Divya Bajpai

34 papers receiving 361 citations

Peers

Divya Bajpai
Comparison fields: 5 of 66
  • Toxicology 74
  • Geriatrics and Gerontology 29
  • Infectious Diseases 125
  • Nephrology 36
  • Obstetrics and Gynecology 33
Replace Binaya Sapkota with:
Binaya Sapkota Nepal
Amir Sarayani Iran
J O Awobusuyi Nigeria
Andreea Farcaș Romania
A.C. van Grootheest Netherlands
Cynthia A. Naughton United States
Fangyuan Tian China
Graham Walker United States
Alireza Hayatshahi Iran
Teodoro J. Oscanoa Peru
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Citations per field
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Citations per year

Countries citing papers authored by Divya Bajpai

Since Specialization
Citations

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

Fields of papers citing papers by Divya Bajpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007115
2 202068
3 201337
4 202122
5 201913
6 202213
7 202411
8 202310
9 20239
10 20179
11
Municipal solid waste management challenges and health riskproblematic solutions at Agra city, U. P., India
20146
12 20216
13 20206
14 20246
15 20236
16 20225
17 20204
18 20224
19 20253
20 20183

About Divya Bajpai

Divya Bajpai is a scholar working on Nephrology, General Health Professions, Infectious Diseases, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 42 papers that have together received 372 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Climate Change and Health Impacts (5 papers), Dialysis and Renal Disease Management (4 papers), COVID-19 Clinical Research Studies (4 papers), Global Health Care Issues (4 papers), Acute Kidney Injury Research (3 papers), Social Media in Health Education (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Toxicology (74 citations), Geriatrics and Gerontology (29 citations), Infectious Diseases (125 citations), Nephrology (36 citations) and Obstetrics and Gynecology (33 citations). Divya Bajpai has collaborated with scholars based in India, United States and Canada. Frequent co-authors include NJ Gogtay, N A Kshirsagar, Tukaram Jamale, Chintan Gandhi, Mala Bridgelal Ram, Gitau Mburu, Silvi Shah, Ian Hodgson, Isabelle Éthier and Ehab Hafiz. Their work appears in journals such as Kidney International Reports, Advances in Chronic Kidney Disease, Seminars in Nephrology, Clinical Journal of the American Society of Nephrology and Journal of Nephrology.

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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