Bineeta Kashyap

1.3k citations
95 papers · 919 indexed · h-index 14
Topics
Tuberculosis Research and Epidemiology (18 papers)Infectious Diseases and Tuberculosis (14 papers)Mycobacterium research and diagnosis (13 papers)

In The Last Decade

Bineeta Kashyap

88 papers receiving 858 citations

Peers

Bineeta Kashyap
Comparison fields: 5 of 100
  • Epidemiology 574
  • Infectious Diseases 321
  • Cell Biology 222
  • Public Health, Environmental and Occupational Health 111
  • Surgery 81
Replace M Mathur with:
M Mathur India
Sharon Chen United States
R.P. Hobson United Kingdom
Maha Assi United States
D. S. McKinsey United States
Ryan F. Relich United States
Ravinder Kaur India
Zekaver Odabaşı Türkiye
Richard E. Winn United States
G. Just‐Nübling Germany
Bineeta Kashyap relative to M Mathur India M Mathur's profile →
Citations per field
00.5×2.8×
M Mathur · 1×
Citations per year

Countries citing papers authored by Bineeta Kashyap

Since Specialization
Citations

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

Fields of papers citing papers by Bineeta Kashyap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bineeta Kashyap

This figure shows the co-authorship network connecting the top 25 collaborators of Bineeta Kashyap. A scholar is included among the top collaborators of Bineeta Kashyap based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bineeta Kashyap. Bineeta Kashyap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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9 4
10
REFERENCE VALUES OF NEUTROPHIL LYMPHOCYTE RATIO AND PLATELET LYMPHOCYTE RATIO IN HEALTHY ADULTS IN A TERTIARY CARE CENTER IN NORTH INDIA
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11 4
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Diagnostic dilemma in female genital tuberculosis- staining techniques\nrevisited
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14 13
15 9
16 43
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19 172
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About Bineeta Kashyap

Bineeta Kashyap is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 95 papers that have together received 919 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Infectious Diseases and Tuberculosis (14 papers) and Mycobacterium research and diagnosis (13 papers). The work is most often cited by research in Microbiology (15 citations), Infectious Diseases (321 citations) and Epidemiology (574 citations). Bineeta Kashyap has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Preena Bhalla, Ravinder Kaur, Anita Chakravarti, Shilpi Gupta, Shukla Das, Rajat Jhamb, Arvind Kumar, Iqbal Kaur, Beena Uppal and Sarika Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Infectious Diseases and Scandinavian Journal of Immunology.

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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