Dilip Mathai

66 papers receiving 2.4k citations

Dilip Mathai's Hit Papers

Risk Factors for Tuberculosis 2013 · 530 citations
5300+4+8Years since publication100200300400500

Peers

Dilip Mathai
Comparison fields: 5 of 123
  • Molecular Medicine 600
  • Applied Microbiology and Biotechnology 182
  • Parasitology 367
  • Infectious Diseases 956
  • Endocrinology 248
Replace Jien-Wei Liu with:
Jien-Wei Liu Taiwan
Mateu Espasa Spain
Joon‐Sup Yeom South Korea
Ahmed Yahia Mahadi Babiker United States
Chang-Phone Fung Taiwan
Christoph Luebbert Germany
Yung-Ching Liu Taiwan
Prabha Krishnan Singapore
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Dilip Mathai relative to Jien-Wei Liu Taiwan Jien-Wei Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dilip Mathai

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Mathai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk Factors for Tuberculosis
Hit paper breakdown →
2013530
2 2010318
3 2015117
4 2013115
5 2017108
6 2006106
7 201779
8 200171
9 201564
10 200259
11 200457
12
Phenotypic & molecular characterization of AmpC β-lactamases among Escherichia coli, Klebsiella spp. & Enterobacter spp. from five Indian Medical Centers.
201256
13 200755
14 201050
15 201443
16 201635
17 200232
18 202231
19 201430
20 199930

About Dilip Mathai

Dilip Mathai is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases, Parasitology and Epidemiology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (8 papers), Tuberculosis Research and Epidemiology (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Leptospirosis research and findings (3 papers). The work is most often cited by research in Molecular Medicine (600 citations), Applied Microbiology and Biotechnology (182 citations), Parasitology (367 citations), Infectious Diseases (956 citations) and Endocrinology (248 citations). Dilip Mathai has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Padmanesan Narasimhan, Chandini Raina MacIntyre, James Wood, Ronald N. Jones, Jan M. Bell, Lalitagauri M. Deshpande, Rodrigo Elisandro Mendes, Mariana Castanheira, O C Abraham and Anand Manoharan. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, BMC Infectious Diseases, Transactions of the Royal Society of Tropical Medicine and Hygiene, PLoS ONE and Journal of Infection.

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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