Jay Reddy

1.7k citations
60 papers · 1.4k · h-index 20

Impact in

Papers in

Jay Reddy

60 papers receiving 1.4k citations

Peers

Jay Reddy
Comparison fields: 5 of 96
  • Immunology 507
  • Cardiology and Cardiovascular Medicine 475
  • Oncology 251
  • Infectious Diseases 155
  • Cancer Research 81
Replace Arunakumar Gangaplara with:
Arunakumar Gangaplara United States
Chandirasegaran Massilamany United States
Christian Perez‐Shibayama Switzerland
Ratan K. Maitra United States
Congwen Wei China
Kate L. Graham Australia
Christopher M. Carthy Canada
Yongxin Mu China
Heidi Trusheim Germany
Jr‐Wen Shui United States
Jay Reddy relative to Arunakumar Gangaplara United States Arunakumar Gangaplara's profile →
Citations per field
00.5×1.5×2×2.4×
Arunakumar Gangaplara · 1×
Citations per year

Countries citing papers authored by Jay Reddy

Since Specialization
Citations

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

Fields of papers citing papers by Jay Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007115
2 2020109
3 2011104
4 202289
5 201262
6 201159
7 200857
8 202154
9 201650
10 201141
11 201341
12 201441
13 200935
14 201932
15 201331
16 202230
17 202024
18 202024
19 201122
20 201522

About Jay Reddy

Jay Reddy is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Oncology and Epidemiology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (25 papers), T-cell and B-cell Immunology (11 papers), CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Immunotherapy and Immune Responses (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (507 citations), Cardiology and Cardiovascular Medicine (475 citations), Oncology (251 citations), Infectious Diseases (155 citations) and Cancer Research (81 citations). Jay Reddy has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Chandirasegaran Massilamany, Ninaad Lasrado, Arunakumar Gangaplara, David J. Steffen, Jean-Jack M. Riethoven, Sally Ann Huber, Iwona A. Buskiewicz, Noel Rose, Nora M. Chapman and James D. Eudy. Their work appears in journals such as Vaccines, Journal of Visualized Experiments, Journal of Neuroimmunology, PLoS ONE and International Journal of Cardiology.

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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