Omkar Indari

914 citations
22 papers · 653 · 1 hit paper · h-index 14

Impact in

Papers in

Omkar Indari

21 papers receiving 642 citations

Omkar Indari's Hit Papers

NLRC5 senses NAD+ depletion, forming a PANoptosome and driving PANoptosis and inflammation 2024 · 96 citations
960+1Years since publication255075

Peers

Omkar Indari
Comparison fields: 5 of 109
  • Biological Psychiatry 39
  • Infectious Diseases 259
  • Neurology 83
  • Modeling and Simulation 24
  • Immunology 84
Replace Shweta Jakhmola with:
Shweta Jakhmola India
Senthil Visaga Ambi India
Franciane Mouradian Emidio Teixeira Brazil
Yi Mei China
Ruochen Zang China
Weijing Wu China
María Florencia Gómez Castro United States
Zeinab Abdelrahman China
Sharafudeen Dahiru Abubakar Nigeria
Caihan Duan China
Omkar Indari relative to Shweta Jakhmola India Shweta Jakhmola's profile →
Citations per field
00.5×3.5×
Shweta Jakhmola · 1×
Citations per year

Countries citing papers authored by Omkar Indari

Since Specialization
Citations

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

Fields of papers citing papers by Omkar Indari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202298
2
NLRC5 senses NAD+ depletion, forming a PANoptosome and driving PANoptosis and inflammation
Hit paper breakdown →
202496
3 202164
4 202161
5 202161
6 202049
7 202031
8 202131
9 202030
10 202420
11 202220
12 202016
13 202114
14 202314
15 20228
16 20228
17 20228
18 20228
19 20227
20 20235

About Omkar Indari

Omkar Indari is a scholar working on Infectious Diseases, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Immunology, having authored 22 papers that have together received 653 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers), Viral-associated cancers and disorders (3 papers), SARS-CoV-2 detection and testing (3 papers), Malaria Research and Control (3 papers), Mosquito-borne diseases and control (3 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Infectious Diseases (259 citations), Neurology (83 citations), Modeling and Simulation (24 citations) and Immunology (84 citations). Omkar Indari has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Hem Chandra Jha, Shweta Jakhmola, E. Manivannan, Budhadev Baral, Sayantani Chatterjee, Vijay Tripathi, Uttpal Anand, Dharmendra Kashyap, Kiran Bala and Avinash Sonawane. Their work appears in journals such as Pathogens and Disease, Heliyon, ACS Chemical Neuroscience, Microbial Pathogenesis and Frontiers in Immunology.

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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