Divya Nair

934 citations
59 papers · 422 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 13
    • Pneumonia and Respiratory Infections 4
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Mycobacterium research and diagnosis 3

Divya Nair

57 papers receiving 404 citations

Peers

Divya Nair
Comparison fields: 5 of 97
  • Applied Microbiology and Biotechnology 31
  • Health 72
  • Infectious Diseases 67
  • Molecular Medicine 15
  • Pediatrics, Perinatology and Child Health 35
Replace Balaji Ramraj with:
Balaji Ramraj India
Renzo Calderón-Anyosa United States
Dangui Zhang China
Nathaly Garzón‐Orjuela Colombia
Fabrizio Gemmi Italy
Carrie Tudor United States
Nuwadatta Subedi Nepal
Liliana Anchidin-Norocel Romania
Ranendra Das United States
Ayush Lohiya India
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Citations per field
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Citations per year

Countries citing papers authored by Divya Nair

Since Specialization
Citations

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

Fields of papers citing papers by Divya Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201648
2 201137
3 201728
4 201719
5 202218
6 202217
7 202315
8 201713
9 202413
10 201613
11 201511
12 201510
13 20219
14 20169
15 20228
16 20237
17 20247
18 20177
19 20237
20 20187

About Divya Nair

Divya Nair is a scholar working on Infectious Diseases, Epidemiology, Finance, Public Health, Environmental and Occupational Health and Applied Microbiology and Biotechnology, having authored 59 papers that have together received 422 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Antibiotic Use and Resistance (5 papers), Healthcare Systems and Reforms (5 papers), Pneumonia and Respiratory Infections (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), COVID-19 epidemiological studies (3 papers), Mycobacterium research and diagnosis (3 papers) and Global Public Health Policies and Epidemiology (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (31 citations), Health (72 citations), Infectious Diseases (67 citations), Molecular Medicine (15 citations) and Pediatrics, Perinatology and Child Health (35 citations). Divya Nair has collaborated with scholars based in India, France and United States. Frequent co-authors include Palanivel Chinnakali, Gautam Roy, Pruthu Thekkur, Gomathi Ramaswamy, Emily Simons, Kalaiselvi Selvaraj, Alya Dabbagh, Juliet Nabyonga‐Orem, David Bishai and Shweta Sharma. Their work appears in journals such as Tropical Medicine and Infectious Disease, International Journal of Environmental Research and Public Health, PLoS ONE, The International Journal of Tuberculosis and Lung Disease and Blood.

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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