B Sekar

450 citations
22 papers · 356 · h-index 10

Impact in

Papers in

    • Leprosy Research and Treatment 13
    • Tuberculosis Research and Epidemiology 6
    • Antifungal resistance and susceptibility 1
    • Mycobacterium research and diagnosis 9
    • Pneumocystis jirovecii pneumonia detection and treatment 1

B Sekar

20 papers receiving 324 citations

Peers

B Sekar
Comparison fields: 5 of 58
  • Molecular Medicine 157
  • Applied Microbiology and Biotechnology 21
  • Endocrinology 58
  • Infectious Diseases 136
  • Pollution 32
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Citations per year

Countries citing papers authored by B Sekar

Since Specialization
Citations

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

Fields of papers citing papers by B Sekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside B Sekar, 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 B Sekar Line = papers co-authored together B Sekar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201284
2 201159
3 200535
4
Detection of New Delhi metallo beta lactamase-1 (NDM-1) carbapenemase in Pseudomonas aeruginosa in a single centre in southern India.
201431
5 200830
6
Detection of mutations in folp1, rpoB and gyrA genes of M. leprae by PCR- direct sequencing--a rapid tool for screening drug resistance in leprosy.
201124
7 200815
8
Prevalence of HIV infection and high-risk characteristics among leprosy patients of south India; a case-control study.
199415
9 200212
10 20089
11 20179
12 19948
13 19934
14 19924
15
HIV infection amongst leprosy patients in south India.
19954
16 20093
17 20153
18
Recent advances in immunodiagnosis of leprosy.
20083
19 19942
20 20181

About B Sekar

B Sekar is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Genetics, having authored 22 papers that have together received 356 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (13 papers), Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (6 papers), Antibiotic Resistance in Bacteria (3 papers), Infectious Diseases and Tuberculosis (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Molecular Medicine (157 citations), Applied Microbiology and Biotechnology (21 citations), Endocrinology (58 citations), Infectious Diseases (136 citations) and Pollution (32 citations). B Sekar has collaborated with scholars based in India. Frequent co-authors include Uma Sekar, Sudharshan Ravi, Alain Alexis, R. Vijayaraghavan, C. Panneerselvam, N. Madhusudhanan, Sujatha Narayanan, A Ramachandran, Thangam Menon and C. P. Girish Kumar. Their work appears in journals such as Leprosy Review, Microbial Pathogenesis, BMC Infectious Diseases, European Journal of Clinical Nutrition and Mycoses.

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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