Rajeev Aurora

4.5k total citations · 2 hit papers
65 papers, 3.7k citations indexed

About

Rajeev Aurora is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Rajeev Aurora has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Oncology. Recurrent topics in Rajeev Aurora's work include Bone Metabolism and Diseases (15 papers), Hepatitis C virus research (8 papers) and Enzyme Structure and Function (7 papers). Rajeev Aurora is often cited by papers focused on Bone Metabolism and Diseases (15 papers), Hepatitis C virus research (8 papers) and Enzyme Structure and Function (7 papers). Rajeev Aurora collaborates with scholars based in United States, Spain and Japan. Rajeev Aurora's 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 and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Rajeev Aurora

64 papers receiving 3.6k citations

Hit Papers

Helix capping 1998 2026 2007 2016 1998 2021 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajeev Aurora United States 30 2.5k 457 446 351 307 65 3.7k
J. Seetharaman United States 29 2.0k 0.8× 140 0.3× 303 0.7× 440 1.3× 101 0.3× 80 3.0k
Takashi Moriyama Japan 27 969 0.4× 1.5k 3.3× 793 1.8× 706 2.0× 1.4k 4.4× 90 4.5k
John E.G. McCarthy United Kingdom 47 5.5k 2.2× 271 0.6× 186 0.4× 246 0.7× 94 0.3× 121 6.4k
Anton Poliakov United States 20 3.8k 1.5× 348 0.8× 60 0.1× 448 1.3× 142 0.5× 31 4.8k
Takaaki Sato Japan 42 5.4k 2.1× 469 1.0× 415 0.9× 1.4k 4.0× 53 0.2× 130 7.4k
David Gil‐Carton Spain 30 2.1k 0.8× 208 0.5× 368 0.8× 136 0.4× 57 0.2× 62 2.8k
Kai Cheng China 37 3.1k 1.2× 135 0.3× 191 0.4× 240 0.7× 78 0.3× 152 4.4k
Igor Paron Italy 18 4.1k 1.6× 389 0.9× 123 0.3× 596 1.7× 54 0.2× 21 5.9k
Armin Lahm Italy 31 2.4k 1.0× 585 1.3× 128 0.3× 589 1.7× 582 1.9× 63 4.1k
Atsushi Nakazawa Japan 42 2.6k 1.0× 321 0.7× 311 0.7× 1.1k 3.1× 32 0.1× 120 4.9k

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 of co-authors of Rajeev Aurora

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Aurora. A scholar is included among the top collaborators of Rajeev Aurora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajeev Aurora. Rajeev Aurora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Aurora, Rajeev, et al.. (2024). Memory T-Cells Contribute to Calcium Release from Bones during Lactation in Mice. Nutrients. 16(19). 3289–3289. 1 indexed citations
3.
Panfil, Amanda R., Ancy Joseph, Daniel A. Rauch, et al.. (2024). HTLV‐1 infected T cells cause bone loss via small extracellular vesicles. Journal of Extracellular Vesicles. 13(10). e12516–e12516. 1 indexed citations
4.
Thijssen, Marijn, Yanjuan Xu, Longping V. Tse, et al.. (2023). Expansion of Betatorquevirus and/or Gammatorquevirus in Patients with Severe Clinical Outcomes of the Liver Diseases. Viruses. 15(8). 1635–1635. 3 indexed citations
5.
Nazzal, Mustafa, et al.. (2022). Novel Therapeutic Approaches for Mitigating Complications in Short Bowel Syndrome. Nutrients. 14(21). 4660–4660. 8 indexed citations
6.
Peng, Peng, Yanjuan Xu, Rajeev Aurora, Adrian M. Di Bisceglie, & Xiaofeng Fan. (2022). Within-host quantitation of anellovirus genome complexity from clinical samples. Journal of Virological Methods. 302. 114493–114493. 4 indexed citations
7.
Vricella, Laura K., et al.. (2022). Cervicovaginal microbiome in twin vs singleton gestations. American Journal of Obstetrics & Gynecology MFM. 4(3). 100579–100579. 4 indexed citations
8.
Wu, Di, et al.. (2021). T-Cell Mediated Inflammation in Postmenopausal Osteoporosis. Frontiers in Immunology. 12. 687551–687551. 154 indexed citations breakdown →
9.
Sasaki, Reina, Keith Meyer, Mitsuhiko Moriyama, et al.. (2018). Rapid hepatitis C virus clearance by antivirals correlates with immune status of infected patients. Journal of Medical Virology. 91(3). 411–418. 15 indexed citations
10.
Duerr, Mark A., Rajeev Aurora, & David A. Ford. (2015). Identification of glutathione adducts of α-chlorofatty aldehydes produced in activated neutrophils. Journal of Lipid Research. 56(5). 1014–1024. 23 indexed citations
11.
Ying, Baoling, Károly Tóth, Jacqueline F. Spencer, Rajeev Aurora, & William S.M. Wold. (2015). Transcriptome sequencing and development of an expression microarray platform for liver infection in adenovirus type 5-infected Syrian golden hamsters. Virology. 485. 305–312. 16 indexed citations
12.
Buchwald, Zachary S., et al.. (2013). Osteoclast-induced Foxp3+ CD8 T-cells limit bone loss in mice. Bone. 56(1). 163–173. 42 indexed citations
13.
Tavis, John E., Xiaohong Cheng, Yuan Hu, et al.. (2013). The Hepatitis B Virus Ribonuclease H Is Sensitive to Inhibitors of the Human Immunodeficiency Virus Ribonuclease H and Integrase Enzymes. PLoS Pathogens. 9(1). e1003125–e1003125. 92 indexed citations
14.
Zhu, Tingting, Jean Chappel, Fong‐Fu Hsu, et al.. (2013). Type I Phosphotidylinosotol 4-Phosphate 5-Kinase γ Regulates Osteoclasts in a Bifunctional Manner*. Journal of Biological Chemistry. 288(8). 5268–5277. 7 indexed citations
15.
Buchwald, Zachary S., et al.. (2009). Cross-Presentation by Osteoclasts Induces FoxP3 in CD8+ T Cells. The Journal of Immunology. 182(9). 5477–5487. 85 indexed citations
16.
Stöckel, Jana, et al.. (2008). Global transcriptomic analysis of Cyanothece 51142 reveals robust diurnal oscillation of central metabolic processes. Proceedings of the National Academy of Sciences. 105(16). 6156–6161. 148 indexed citations
17.
Miller, Cheryl A., et al.. (2007). Systems level analysis of osteoclastogenesis reveals intrinsic and extrinsic regulatory interactions. Developmental Dynamics. 236(8). 2181–2197. 23 indexed citations
18.
Ermolenko, Dmitri N., Susan T. Thomas, Rajeev Aurora, Angela M. Gronenborn, & George I. Makhatadze. (2002). Hydrophobic Interactions at the Ccap Position of the C-capping Motif of α-Helices. Journal of Molecular Biology. 322(1). 123–135. 37 indexed citations
19.
Aurora, Rajeev, Trevor P. Creamer, Rajgopal Srinivasan, & George D. Rose. (1997). Local Interactions in Protein Folding: Lessons from the α-Helix. Journal of Biological Chemistry. 272(3). 1413–1416. 130 indexed citations
20.
Klemm, Juli D., Mark A. Rould, Rajeev Aurora, Winship Herr, & Carl O. Pabo. (1994). Crystal structure of the Oct-1 POU domain bound to an octamer site: DNA recognition with tethered DNA-binding modules. Cell. 77(1). 21–32. 433 indexed citations

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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