Rubeshan Perumal

7.7k citations
67 papers · 617 · h-index 13

Impact in

    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • Tuberculosis Research and Epidemiology 24
    • Pneumocystis jirovecii pneumonia detection and treatment 8
    • Pneumonia and Respiratory Infections 7
    • Mycobacterium research and diagnosis 5

Rubeshan Perumal

60 papers receiving 599 citations

Peers

Rubeshan Perumal
Comparison fields: 5 of 97
  • Infectious Diseases 304
  • Neurology 143
  • Critical Care and Intensive Care Medicine 25
  • Epidemiology 93
  • Clinical Psychology 42
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Citations per field
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Citations per year

Countries citing papers authored by Rubeshan Perumal

Since Specialization
Citations

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

Fields of papers citing papers by Rubeshan Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 202356
3 202245
4 202244
5 202230
6 200929
7 202322
8 202022
9 202322
10 201821
11
Hidden leprosy cases in tribal population groups and how to reach them through a collaborative effort.
201513
12 202313
13 202412
14 201812
15 202412
16 201911
17 202211
18 202011
19 201711
20 202310

About Rubeshan Perumal

Rubeshan Perumal is a scholar working on Infectious Diseases, Epidemiology, Surgery, Neurology and Control and Systems Engineering, having authored 67 papers that have together received 617 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Pneumonia and Respiratory Infections (7 papers), Long-Term Effects of COVID-19 (6 papers), Mycobacterium research and diagnosis (5 papers), Stability and Control of Uncertain Systems (5 papers), Diagnosis and treatment of tuberculosis (5 papers) and Infectious Diseases and Tuberculosis (4 papers). The work is most often cited by research in Infectious Diseases (304 citations), Neurology (143 citations), Critical Care and Intensive Care Medicine (25 citations), Epidemiology (93 citations) and Clinical Psychology (42 citations). Rubeshan Perumal has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Kogieleum Naidoo, Nesri Padayatchi, Navisha Dookie, M. Syed Ali, Alfredo Garzino‐Demo, M. Mubeen Tajudeen, Anders Vahlne, Christian Bréchot, Nombulelo Magula and Salim S. Abdool Karim. Their work appears in journals such as Infection and Drug Resistance, The Lancet Infectious Diseases, International Journal of Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes and BMC Public Health.

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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