Neeraj Kapoor

1.2k citations
23 papers · 853 indexed · 1 hit paper · h-index 11

Neeraj Kapoor

21 papers receiving 834 citations

Hit Papers

Activity of Protein Kinase RIPK3 Determines Whether Cells...5312014202620182022100200300400500

Peers

Neeraj Kapoor
Comparison fields: 5 of 92
  • Immunology 298
  • Endocrinology 45
  • Molecular Biology 536
  • Infectious Diseases 128
  • Cancer Research 73
Replace Aravind Tallam with:
Aravind Tallam Germany
Ana‐Maria Dragoi United States
Petra Kirsch Germany
Zilin Li China
Hye‐Mi Lee South Korea
Chantal Bou‐Hanna France
Huan Zeng China
Sozaburo Ihara Japan
Franca Mannu Italy
Bram Laukens Belgium
Neeraj Kapoor relative to Aravind Tallam Germany Aravind Tallam's profile →
Citations per field
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Citations per year

Countries citing papers authored by Neeraj Kapoor

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kapoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20231
4 202218
5 20226
6 20213
7 202158
8 202115
9 202110
10 202134
11 202110
12 20218
13 202023
14 201832
15
Activity of Protein Kinase RIPK3 Determines Whether Cells Die by Necroptosis or Apoptosisbreakdown →
2014531
16 201219
17 20111
18 201027
19
Analyzing Design Issues for Hybrid System Buildings for India
20103
20 200939

About Neeraj Kapoor

Neeraj Kapoor is a scholar working on Endocrinology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 853 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Neonatal and Maternal Infections (5 papers), Escherichia coli research studies (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (298 citations), Endocrinology (45 citations) and Molecular Biology (536 citations). Neeraj Kapoor has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Katherine E. Wickliffe, Vishva M. Dixit, Dorothy French, Kim Newton, Domagoj Vucic, Merone Roose‐Girma, Ronald E. Ferrando, Debra L. Dugger, Joshua D. Webster and M. Cristina de Almagro. Their work appears in journals such as npj Vaccines, ACS Omega, Journal of Molecular Biology, Vaccines and Scientific Reports.

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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