Sandeep K. Tripathy

1.9k total citations · 1 hit paper
20 papers, 1.6k citations indexed

About

Sandeep K. Tripathy is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Sandeep K. Tripathy has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Sandeep K. Tripathy's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (6 papers). Sandeep K. Tripathy is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Virus-based gene therapy research (6 papers). Sandeep K. Tripathy collaborates with scholars based in United States and India. Sandeep K. Tripathy's co-authors include Jeffrey M. Leiden, Hugh B. Black, Eugene Goldwasser, Emily Barr, E. C. Svensson, Jessica Carroll, Karen Kozarsky, James M. Wilson, Wayne M. Yokoyama and Jeanette T. Pingel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Sandeep K. Tripathy

20 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immune responses to transgene–encoded proteins limit the stability of gene expression after injection of replication–defective adenovirus vectors

1996 564 citations Sandeep K. Tripathy, Hugh B. Black et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandeep K. Tripathy United States	13	919	820	429	256	156	20	1.6k
Andrea Annoni Italy	20	993 1.1×	963 1.2×	334 0.8×	414 1.6×	126 0.8×	39	1.7k
L Weir United States	12	1.2k 1.3×	449 0.5×	374 0.9×	184 0.7×	65 0.4×	14	2.0k
Uimook Choi United States	22	1.1k 1.2×	644 0.8×	478 1.1×	523 2.0×	95 0.6×	44	1.7k
Lung-Ji Chang United States	23	722 0.8×	360 0.4×	517 1.2×	427 1.7×	100 0.6×	35	1.6k
Stephanie Laufs Germany	22	824 0.9×	574 0.7×	179 0.4×	394 1.5×	57 0.4×	59	1.3k
Davide Moi Australia	11	1.1k 1.2×	280 0.3×	885 2.1×	662 2.6×	85 0.5×	23	1.9k
Fabrizio Benedicenti Italy	14	1.4k 1.6×	1.3k 1.6×	176 0.4×	540 2.1×	81 0.5×	27	1.9k
Sorin Armeanu Germany	19	880 1.0×	227 0.3×	403 0.9×	289 1.1×	136 0.9×	38	1.4k
Helena Costa Verdera France	7	917 1.0×	535 0.7×	109 0.3×	219 0.9×	100 0.6×	10	1.2k
Rachel E. Gate United States	6	1.2k 1.3×	362 0.4×	541 1.3×	694 2.7×	78 0.5×	8	1.9k

Countries citing papers authored by Sandeep K. Tripathy

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep K. Tripathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandeep K. Tripathy. 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 Sandeep K. Tripathy. The network helps show where Sandeep K. Tripathy may publish in the future.

Co-authorship network of co-authors of Sandeep K. Tripathy

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep K. Tripathy. A scholar is included among the top collaborators of Sandeep K. Tripathy 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 Sandeep K. Tripathy. Sandeep K. Tripathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sahoo, Krushna Chandra, et al.. (2024). Prevalence of dysmenorrhoea and its management strategies among females: a cross-sectional study in the tribal district, Koraput. International Journal of Community Medicine and Public Health. 11(2). 794–801. 1 indexed citations

Patro, Binod Kumar, et al.. (2023). What they know about their work, barriers, and challenges faced by the community health workers while performing their multiple roles: mixed method study in India. International Journal of Community Medicine and Public Health. 10(6). 2228–2233. 1 indexed citations

Jensen, Isaac J., Matthew D. Martin, Sandeep K. Tripathy, & Vladimir P. Badovinac. (2022). Novel Mouse Model of Murine Cytomegalovirus–Induced Adaptive NK Cells. ImmunoHorizons. 6(1). 8–15. 5 indexed citations

Germino, Joe, et al.. (2019). Chronic Ly49H Receptor Engagement in vivo Decreases NK Cell Response to Stimulation Through ITAM-Dependent and Independent Pathways Both in vitro and in vivo. Frontiers in Immunology. 10. 1692–1692. 3 indexed citations

Jensen, Isaac J., Christina S. Winborn, Peng Shao, et al.. (2018). Polymicrobial sepsis influences NK-cell-mediated immunity by diminishing NK-cell-intrinsic receptor-mediated effector responses to viral ligands or infections. PLoS Pathogens. 14(10). e1007405–e1007405. 48 indexed citations

Kumaravel, S., Vinu Thomas, Sandeep K. Tripathy, & S. Ashok. (2018). Performance Analysis of a Z-Source Inverter with Controller for Autonomous System Application. 355–359. 1 indexed citations

Mah-Som, Annelise Y., Armin Rashidi, Molly P. Keppel, et al.. (2017). Glycolytic requirement for NK cell cytotoxicity and cytomegalovirus control. JCI Insight. 2(23). 101 indexed citations

Meyer, Claire E., et al.. (2017). Expression of the inhibitory receptor NKG2A correlates with increased liver and splenic NK cell response to activating receptor engagement. Immunity Inflammation and Disease. 5(2). 177–189. 3 indexed citations

Miner, Cathrine A., Tusar Giri, Claire E. Meyer, Mark Shabsovich, & Sandeep K. Tripathy. (2015). Acquisition of Activation Receptor Ligand by Trogocytosis Renders NK Cells Hyporesponsive. The Journal of Immunology. 194(4). 1945–1953. 27 indexed citations

10.

Mazumdar, Budhaditya, et al.. (2013). Viral infection transiently reverses activation receptor‐mediated NK cell hyporesponsiveness in an MHC class I‐independent mechanism. European Journal of Immunology. 43(5). 1345–1355. 6 indexed citations

11.

Tripathy, Sandeep K., et al.. (2011). Activation Receptor-Induced Tolerance of Mature NK Cells In Vivo Requires Signaling through the Receptor and Is Reversible. The Journal of Immunology. 186(5). 2765–2771. 16 indexed citations

12.

Tripathy, Sandeep K., Peter A. Keyel, Liping Yang, et al.. (2008). Continuous engagement of a self-specific activation receptor induces NK cell tolerance. The Journal of Experimental Medicine. 205(8). 1829–1841. 126 indexed citations

13.

Tripathy, Sandeep K., et al.. (2005). Expression of m157, a Murine Cytomegalovirus-Encoded Putative Major Histocompatibility Class I (MHC-I)-Like Protein, Is Independent of Viral Regulation of Host MHC-I. Journal of Virology. 80(1). 545–550. 38 indexed citations

14.

Svensson, E. C., Hugh B. Black, Debra L. Dugger, et al.. (1997). Long-Term Erythropoietin Expression in Rodents and Non-Human Primates Following Intramuscular Injection of a Replication-Defective Adenoviral Vector. Human Gene Therapy. 8(15). 1797–1806. 82 indexed citations

15.

Tripathy, Sandeep K., E. C. Svensson, Hugh B. Black, et al.. (1996). Long-term expression of erythropoietin in the systemic circulation of mice after intramuscular injection of a plasmid DNA vector.. Proceedings of the National Academy of Sciences. 93(20). 10876–10880. 154 indexed citations

16.

Svensson, E. C., Sandeep K. Tripathy, & Jeffrey M. Leiden. (1996). Muscle-based gene therapy: realistic possibilities for the future. Molecular Medicine Today. 2(4). 166–172. 38 indexed citations

17.

Tripathy, Sandeep K., Hugh B. Black, Eugene Goldwasser, & Jeffrey M. Leiden. (1996). Immune responses to transgene–encoded proteins limit the stability of gene expression after injection of replication–defective adenovirus vectors. Nature Medicine. 2(5). 545–550. 564 indexed citations breakdown →

18.

Barr, Emily, Jessica Carroll, Sandeep K. Tripathy, et al.. (1994). Efficient catheter-mediated gene transfer into the heart using replication-defective adenovirus.. PubMed. 1(1). 51–8. 232 indexed citations

19.

Tripathy, Sandeep K., Eugene Goldwasser, Min Lü, Emily Barr, & Jeffrey M. Leiden. (1994). Stable delivery of physiologic levels of recombinant erythropoietin to the systemic circulation by intramuscular injection of replication-defective adenovirus.. Proceedings of the National Academy of Sciences. 91(24). 11557–11561. 105 indexed citations

20.

Goodman, Laurie, et al.. (1993). Purified yeast protein farnesyltransferase is structurally and functionally similar to its mammalian counterpart. Biochemical Journal. 289(1). 25–31. 48 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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