Utpal Tatu

3.9k citations
90 papers · 2.9k indexed · h-index 31

Impact in

Papers in

Utpal Tatu

88 papers receiving 2.8k citations

Peers

Utpal Tatu
Comparison fields: 5 of 117
  • Parasitology 388
  • Public Health, Environmental and Occupational Health 808
  • Cell Biology 424
  • Infectious Diseases 464
  • Molecular Biology 1.6k
Replace Heinrich C. Hoppe with:
Heinrich C. Hoppe South Africa
Raymond Hui Canada
Markus Wiederstein Austria
Audrey R. Odom John United States
Thomas S. Vedvick United States
Xinwen Chen China
Souvik Bhattacharjee United States
Pradipsinh K. Rathod United States
Pawan Malhotra India
A.F.G. Slater United States
Utpal Tatu relative to Heinrich C. Hoppe South Africa Heinrich C. Hoppe's profile →
Citations per field
00.5×3.4×
Heinrich C. Hoppe · 1×
Citations per year

Countries citing papers authored by Utpal Tatu

Since Specialization
Citations

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

Fields of papers citing papers by Utpal Tatu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202411
4 20241
5 20231
6 201993
7 201925
8 20186
9 20146
10 201312
11 201141
12 201026
13 20109
14 200930
15 200812
16
Proteomic analysis of urinary protein markers for accurate prediction of diabetic kidney disorder.
200573
17 200341
18
Proteomics of renal disorders: Urinary proteome analysis by two-dimensional gel electrophoresis and MALDI-TOF mass spectrometry
20024
19 20023
20 200273

About Utpal Tatu

Utpal Tatu is a scholar working on Parasitology, Virology, Public Health, Environmental and Occupational Health, Molecular Biology and Cell Biology, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Heat shock proteins research (36 papers), Malaria Research and Control (20 papers), Vector-borne infectious diseases (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Research on Leishmaniasis Studies (6 papers) and Trypanosoma species research and implications (6 papers). The work is most often cited by research in Parasitology (388 citations), Public Health, Environmental and Occupational Health (808 citations), Cell Biology (424 citations), Infectious Diseases (464 citations) and Molecular Biology (1.6k citations). Utpal Tatu has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Ari Helenius, Banumathy Gowrishankar, Varsha Singh, Ranjit Kumar, Rishi Kumar Nageshan, Pragyan Acharya, Len Neckers, Sharanya Chatterjee, Yadunanda Kumar and Ineke Braakman. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Scientific Reports, PLoS neglected tropical diseases and Journal of Molecular Biology.

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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2026