Neeta Kumar

1.9k citations
81 papers · 1.3k · h-index 18

Impact in

Papers in

    • Salivary Gland Tumors Diagnosis and Treatment 8
    • Diagnosis and treatment of tuberculosis 4
    • Head and Neck Anomalies 4
    • Breast Lesions and Carcinomas 7

Neeta Kumar

74 papers receiving 1.2k citations

Peers

Neeta Kumar
Comparison fields: 5 of 135
  • Health Informatics 13
  • Infectious Diseases 149
  • Dermatology 65
  • Endocrinology, Diabetes and Metabolism 113
  • Oral Surgery 44
Replace Arthur M. Michalek with:
Arthur M. Michalek United States
Karina Braga Ribeiro Brazil
Brian Nussenbaum United States
Kent Bottles United States
Santosh G Honavar India
Dilip K. Das Kuwait
Jackson Orem Uganda
Bettina Borisch Switzerland
Dana E. Rollison United States
Erich V. Kliewer Canada
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Citations per field
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Citations per year

Countries citing papers authored by Neeta Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Neeta Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015260
2 2020172
3 200560
4 200241
5
Fine needle aspiration cytology of mucoepidermoid carcinoma. A diagnostic problem.
199137
6
Vaginal microflora in postmenopausal women on hormone replacement therapy.
200632
7 200131
8 200030
9 199624
10 200923
11 199822
12 201122
13 200622
14 201121
15 200120
16 200420
17 201919
18 200818
19 202017
20 200815

About Neeta Kumar

Neeta Kumar is a scholar working on Surgery, Pathology and Forensic Medicine, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Breast Lesions and Carcinomas (7 papers), Cancer and Skin Lesions (4 papers), AI in cancer detection (4 papers), Diagnosis and treatment of tuberculosis (4 papers) and Head and Neck Anomalies (4 papers). The work is most often cited by research in Health Informatics (13 citations), Infectious Diseases (149 citations), Dermatology (65 citations), Endocrinology, Diabetes and Metabolism (113 citations) and Oral Surgery (44 citations). Neeta Kumar has collaborated with scholars based in India, Switzerland and Kenya. Frequent co-authors include Sanjay Gupta, Sanjiv Kumar, Ruchika Gupta, Shyama Jain, Kusum Verma, Shyama Jain, Pushpa Sodhani, Massimo Bongiovanni, Kusum Kapila and Sanjay Gupta. Their work appears in journals such as Acta Cytologica, Diagnostic Cytopathology, Cytopathology, Journal of Digital Imaging and QJM.

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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