Itu Singh

670 citations
48 papers · 435 · h-index 12

Impact in

Papers in

Itu Singh

44 papers receiving 414 citations

Peers

Itu Singh
Comparison fields: 5 of 53
  • Infectious Diseases 362
  • Epidemiology 200
  • Surgery 146
  • Emergency Medicine 24
  • Microbiology 2
Replace Ravindra P. Turankar with:
Ravindra P. Turankar India
Maria Araci de Andrade Pontes Brazil
Marivic F. Balagon United States
Somsit Tansuphaswadikul Thailand
Elisa Marchionni Italy
Andréa de Faria Fernandes Belone Brazil
Erwin Cooreman Bangladesh
Rakesh Yadav India
Kassem A. Hammoud United States
Anand Kumar Maurya India
Itu Singh relative to Ravindra P. Turankar India Ravindra P. Turankar's profile →
Citations per field
00.5×1.5×2×
Ravindra P. Turankar · 1×
Citations per year

Countries citing papers authored by Itu Singh

Since Specialization
Citations

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

Fields of papers citing papers by Itu Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Itu Singh, 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 Itu Singh Line = papers co-authored together Itu Singh 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 201555
2 201826
3 202025
4 201923
5 201523
6 201923
7 201523
8 201722
9 201221
10 201318
11 202116
12 201413
13 202012
14 201511
15 202310
16 202210
17 20189
18 20189
19 20188
20 20078

About Itu Singh

Itu Singh is a scholar working on Infectious Diseases, Epidemiology, Surgery, Ophthalmology and Molecular Medicine, having authored 48 papers that have together received 435 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (44 papers), Mycobacterium research and diagnosis (26 papers), Infectious Diseases and Tuberculosis (16 papers), Tuberculosis Research and Epidemiology (6 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (362 citations), Epidemiology (200 citations), Surgery (146 citations), Emergency Medicine (24 citations) and Microbiology (2 citations). Itu Singh has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Utpal Sengupta, Mallika Lavania, Ravindra P. Turankar, Vinay Kumar Pathak, A. N. Nigam, Joydeepa Darlong, Rupendra S. Jadhav, Kiran Katoch, Prashant Sharma and Ashwini Kumar Nigam. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Leprosy Review, Infection Genetics and Evolution, PLoS neglected tropical diseases and Frontiers in Microbiology.

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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