T. Madhavan

29 papers receiving 442 citations

Peers

T. Madhavan
Comparison fields: 5 of 87
  • Molecular Medicine 111
  • Endocrinology 103
  • Infectious Diseases 148
  • Clinical Biochemistry 37
  • Applied Microbiology and Biotechnology 10
Replace D. A. Bremner with:
D. A. Bremner New Zealand
Anna Maria Cardona Planes Spain
C. H. Teoh-Chan Hong Kong
E T Houang United Kingdom
I.M. Gould United Kingdom
Emiko Kanematsu Japan
D. J. Flournoy United States
James N. Wilfert United States
Publio Toala United States
D L Sewell United States
T. Madhavan relative to D. A. Bremner New Zealand D. A. Bremner's profile →
Citations per field
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D. A. Bremner · 1×
Citations per year

Countries citing papers authored by T. Madhavan

Since Specialization
Citations

This map shows the geographic impact of T. Madhavan'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 T. Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Madhavan more than expected).

Fields of papers citing papers by T. Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201475
2 197361
3 197851
4 197033
5
Gerospsychiatric morbidity survey in a semi-urban area near madurai.
198232
6 197330
7 197327
8 197622
9 198822
10 197520
11 197320
12 198819
13 198718
14 197411
15 201310
16 20147
17 20167
18 19737
19 20106
20 19935

About T. Madhavan

T. Madhavan is a scholar working on Epidemiology, Molecular Medicine, Endocrinology, Molecular Biology and Pharmacology, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Infective Endocarditis Diagnosis and Management (5 papers), Infections and bacterial resistance (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacterial biofilms and quorum sensing (3 papers), Escherichia coli research studies (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Medicine (111 citations), Endocrinology (103 citations), Infectious Diseases (148 citations), Clinical Biochemistry (37 citations) and Applied Microbiology and Biotechnology (10 citations). T. Madhavan has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Harry Sakellaris, Evelyn J. Fisher, Edward Quinn, Felicia Cox, D J Pohlod, Sandeep Walia, Louis D. Saravolatz, Rupinder Tewari, David V. Alcid and Stephen Seligman. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, The Journal of Infectious Diseases, Annals of Internal Medicine and International Journal of Rehabilitation Research.

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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