Sundeep Chandra

664 citations
24 papers · 337 indexed · h-index 12

Impact in

Papers in

Sundeep Chandra

22 papers receiving 315 citations

Peers

Sundeep Chandra
Comparison fields: 5 of 93
  • Equine 12
  • Small Animals 51
  • Health, Toxicology and Mutagenesis 73
  • Cancer Research 44
  • Immunology 53
Replace Katherine Berman with:
Katherine Berman United States
Mohammad M. Uddin United States
Shinichiro Sugiyama Japan
Thure Adler Germany
Sean M. Harris United States
Coco de Koning Netherlands
J Mahler United States
Nancy J. Akley United States
Stefania Mariani Italy
Sundeep Chandra relative to Katherine Berman United States Katherine Berman's profile →
Citations per field
00.5×3.6×
Katherine Berman · 1×
Citations per year

Countries citing papers authored by Sundeep Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Sundeep Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20235
3 20231
4 202210
5 20225
6 202114
7 20210
8 202014
9 20207
10 20198
11 201834
12 201829
13 20137
14 201211
15 201015
16 20036
17 200033
18 199927
19 19978
20 199527

About Sundeep Chandra

Sundeep Chandra is a scholar working on Small Animals, Agronomy and Crop Science, Immunology, Dermatology and Physiology, having authored 24 papers that have together received 337 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (5 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (4 papers), Reproductive Physiology in Livestock (3 papers), Lysosomal Storage Disorders Research (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Veterinary Medicine and Surgery (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Equine (12 citations), Small Animals (51 citations), Health, Toxicology and Mutagenesis (73 citations), Cancer Research (44 citations) and Immunology (53 citations). Sundeep Chandra has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Rick R. Adler, Michael W. Nolan, David E. Malarkey, Gunda Reddy, Scott T. McMurry, Robert L. Lochmiller, J. Mark Cline, Charles O’Neill, Cheryl L. Chrisman and Michelle J. Hooth. Their work appears in journals such as Toxicologic Pathology, Scientific Reports, Journal of Wildlife Diseases, Toxicology Reports and Experimental Eye Research.

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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