Smita Ghosh

740 citations
36 papers · 539 · h-index 11

Impact in

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

Papers in

    • Tuberculosis Research and Epidemiology 16
    • Mycobacterium research and diagnosis 6
    • Pneumonia and Respiratory Infections 5
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Smita Ghosh

31 papers receiving 524 citations

Peers

Smita Ghosh
Comparison fields: 5 of 75
  • Infectious Diseases 370
  • Epidemiology 165
  • Surgery 96
  • Modeling and Simulation 9
  • General Health Professions 39
Replace Akihiro Ohkado with:
Akihiro Ohkado Japan
Riitta A. Dlodlo France
Kathrin Zürcher Switzerland
Colleen Daniels United States
Maureen Kamene Kenya
Stela Bivol Denmark
Elena M. Bogorodskaya Russia
Aleksandar Šimunović Croatia
Olena Oliveira Portugal
Natalia Vezhnina United States
Smita Ghosh relative to Akihiro Ohkado Japan Akihiro Ohkado's profile →
Citations per field
00.5×2×4×6×
Akihiro Ohkado · 1×
Citations per year

Countries citing papers authored by Smita Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Smita Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201392
2 201169
3 201258
4 201450
5 201840
6 201435
7 202131
8 201329
9 201525
10 201613
11 201711
12 201310
13 20259
14 20189
15 20198
16 20146
17 20165
18 20215
19 20244
20 20124

About Smita Ghosh

Smita Ghosh is a scholar working on Infectious Diseases, Epidemiology, Applied Psychology, Sociology and Political Science and Information Systems, having authored 36 papers that have together received 539 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (6 papers), Pneumonia and Respiratory Infections (5 papers), Misinformation and Its Impacts (5 papers), Digital Mental Health Interventions (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Spam and Phishing Detection (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Infectious Diseases (370 citations), Epidemiology (165 citations), Surgery (96 citations), Modeling and Simulation (9 citations) and General Health Professions (39 citations). Smita Ghosh has collaborated with scholars based in United States, India and Kenya. Frequent co-authors include Patrick K. Moonan, J. Steven Kammerer, Lauren S. Cowan, Thomas R. Navin, Maryam B. Haddad, Sapna Bamrah, Krista M. Powell, John E. Oeltmann, Rachel Yelk Woodruff and Juliana S. Grant. Their work appears in journals such as Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Digital Health, The Lancet Infectious Diseases and Frontiers in Public Health.

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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