Indu Verma

2.4k citations
120 papers · 1.8k · h-index 27

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 50
    • Mycobacterium research and diagnosis 29
    • Pneumocystis jirovecii pneumonia detection and treatment 12

Indu Verma

107 papers receiving 1.8k citations

Peers

Indu Verma
Comparison fields: 5 of 113
  • Microbiology 324
  • Infectious Diseases 722
  • Immunology 398
  • Epidemiology 586
  • Molecular Medicine 71
Replace Gary Horwith with:
Gary Horwith United States
Takayoshi Tashiro Japan
C. O. Solberg Norway
Elisabeth Elass France
Selene Mogavero Germany
David J. Schmeling United States
W. Lee Hand United States
M. T. Labro France
U. B. Schaad Switzerland
Michael W. Newstead United States
Indu Verma relative to Gary Horwith United States Gary Horwith's profile →
Citations per field
00.5×6.8×
Gary Horwith · 1×
Citations per year

Countries citing papers authored by Indu Verma

Since Specialization
Citations

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

Fields of papers citing papers by Indu Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 200994
3 200481
4 200077
5 200169
6 201950
7 200444
8 200544
9 202043
10 200639
11 200539
12 201338
13 200738
14 201137
15
Interferon gamma release assay (QuantiFERON-TB Gold In Tube) in patients of sarcoidosis from a population with high prevalence of tuberculosis infection.
201136
16 200635
17 199934
18 200533
19 200633
20 201733

About Indu Verma

Indu Verma is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Surgery, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (50 papers), Mycobacterium research and diagnosis (29 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers), Antimicrobial Peptides and Activities (11 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Immune Response and Inflammation (9 papers), Infectious Diseases and Tuberculosis (8 papers) and vaccines and immunoinformatics approaches (7 papers). The work is most often cited by research in Microbiology (324 citations), Infectious Diseases (722 citations), Immunology (398 citations), Epidemiology (586 citations) and Molecular Medicine (71 citations). Indu Verma has collaborated with scholars based in India, United States and Indonesia. Frequent co-authors include G. K. Khuller, Suraj B. Sable, Sadhna Sharma, Pramod Giri, Jyotdeep Kaur, Sudhir Sharma, Yogesh Chawla, Mamta Kalra, Praveen Rishi and Anjana Kalita. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Tuberculosis, PLoS ONE, Vaccine and European Respiratory Journal.

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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