Rajeev Aurora

4.5k citations
65 papers · 3.7k indexed · 2 hit papers · h-index 30

Rajeev Aurora

64 papers receiving 3.6k citations

Hit Papers

T-Cell Mediat...1541998202620072016200400600

Peers

Rajeev Aurora
Comparison fields: 5 of 134
  • Hepatology 307
  • Molecular Biology 2.5k
  • Otorhinolaryngology 114
  • Renewable Energy, Sustainability and the Environment 282
  • Immunology 351
Replace Kai Cheng with:
Kai Cheng China
Stephen J. Fey Denmark
John D. Haley United States
Takaaki Sato Japan
Igor Paron Italy
Armin Lahm Italy
Stuart Rudikoff United States
William C. Copeland United States
Anton Poliakov United States
Gong Zhang China
Rajeev Aurora relative to Kai Cheng China Kai Cheng's profile →
Citations per field
00.5×10×14.3×
Kai Cheng · 1×
Citations per year

Countries citing papers authored by Rajeev Aurora

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Aurora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20233
5 20228
6 20224
7 20224
8
T-Cell Mediated Inflammation in Postmenopausal Osteoporosisbreakdown →
2021154
9 201815
10 201523
11 201516
12 201342
13 201392
14 20137
15 200985
16 2008148
17 200723
18 200237
19 1997130
20 1994433

About Rajeev Aurora

Rajeev Aurora is a scholar working on Hepatology, Immunology, Molecular Biology, Cancer Research and Otorhinolaryngology, having authored 65 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Hepatitis C virus research (8 papers), Enzyme Structure and Function (7 papers), NF-κB Signaling Pathways (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Protein Structure and Dynamics (5 papers), Hepatitis B Virus Studies (5 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Hepatology (307 citations), Molecular Biology (2.5k citations), Otorhinolaryngology (114 citations), Renewable Energy, Sustainability and the Environment (282 citations) and Immunology (351 citations). Rajeev Aurora has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include George D. Rose, Winship Herr, Rajgopal Srinivasan, Himadri B. Pakrasi, Carl O. Pabo, Juli D. Klemm, Mark A. Rould, Zachary S. Buchwald, Maureen J. Donlin and John E. Tavis. Their work appears in journals such as Journal of Bone and Mineral Research, PLoS ONE, PLANT PHYSIOLOGY, The Journal of Immunology and Proceedings of the National Academy of Sciences.

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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