Uma Devi Ranganathan

1.5k citations
48 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 41
    • SARS-CoV-2 and COVID-19 Research 2
    • HIV Research and Treatment 3

Uma Devi Ranganathan

44 papers receiving 1.1k citations

Uma Devi Ranganathan's Hit Papers

A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis 2017 · 273 citations
2730+3+6Years since publication50100150200250

Peers

Uma Devi Ranganathan
Comparison fields: 5 of 77
  • Infectious Diseases 780
  • Modeling and Simulation 55
  • Virology 46
  • Immunology 60
  • General Dentistry 1
Replace Chuan Kok Lim with:
Chuan Kok Lim Australia
Hongxia Wei China
Olivia C. Powers United States
Rebecca Frise United Kingdom
Elizabeth R. Duke United States
Emanuele Andreano Italy
Ralf Duerr United States
Denise Jurczyszak United States
Zijin Lin United States
Xiankun Zeng United States
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Citations per year

Countries citing papers authored by Uma Devi Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by Uma Devi Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma Devi Ranganathan. 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 Uma Devi Ranganathan. The network helps show where Uma Devi Ranganathan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis
Hit paper breakdown →
2017273
2 2018185
3 2020141
4 200839
5 201239
6 202137
7 201934
8 202332
9 202231
10 200922
11 202122
12 201320
13 202319
14 201918
15 202017
16 202216
17 200115
18 201914
19 200611
20 201911

About Uma Devi Ranganathan

Uma Devi Ranganathan is a scholar working on Infectious Diseases, Virology, Pathology and Forensic Medicine, Ecology and Modeling and Simulation, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (41 papers), Vitamin D Research Studies (4 papers), HIV Research and Treatment (3 papers), Bacteriophages and microbial interactions (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Kawasaki Disease and Coronary Complications (2 papers), RNA Interference and Gene Delivery (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Infectious Diseases (780 citations), Modeling and Simulation (55 citations), Virology (46 citations), Immunology (60 citations) and General Dentistry (1 citation). Uma Devi Ranganathan has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Ramalingam Bethunaickan, Pavithra Sampath, Kadar Moideen, Srikanth Prasad Tripathy, Alamelu Raja, William R. Jacobs, Glenn J. Fennelly, Michelle H. Larsen, Siva Kumar Shanmugam and Syed S Hissar. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Diagnostic Microbiology and Infectious Disease, Vaccine and BMC Infectious Diseases.

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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