Jayashree Jagadeesh

483 total citations
8 papers, 350 citations indexed

About

Jayashree Jagadeesh is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jayashree Jagadeesh has authored 8 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jayashree Jagadeesh's work include Virus-based gene therapy research (3 papers), DNA Repair Mechanisms (2 papers) and Mitochondrial Function and Pathology (2 papers). Jayashree Jagadeesh is often cited by papers focused on Virus-based gene therapy research (3 papers), DNA Repair Mechanisms (2 papers) and Mitochondrial Function and Pathology (2 papers). Jayashree Jagadeesh collaborates with scholars based in United States, Germany and Colombia. Jayashree Jagadeesh's co-authors include Alexander C. Drohat, Eric Ferguson, James T. Stivers, Richard H. Myers, Lindsay A. Farrer, James F. Gusella, Carol A. Mastromauro, Timothy W. Behrens, Peggy Scherle and Grainne Kearns and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Jayashree Jagadeesh

8 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jayashree Jagadeesh	260	119	70	56	35	8	350
Frédéric Lorenzo	150 0.6×	68 0.6×	110 1.6×	6 0.1×	50 1.4×	10	380
Hamid Hamzeiy	295 1.1×	31 0.3×	29 0.4×	29 0.5×	26 0.7×	15	396
Fusheng Li	189 0.7×	138 1.2×	22 0.3×	36 0.6×	25 0.7×	6	262
Ronald V. Abruzzese	232 0.9×	45 0.4×	127 1.8×	4 0.1×	71 2.0×	15	350
Itziar Martín‐Ruiz	238 0.9×	26 0.2×	74 1.1×	34 0.6×	17 0.5×	16	403
Janine Scholefield	302 1.2×	90 0.8×	68 1.0×	16 0.3×	10 0.3×	29	372
Shifa Zou	406 1.6×	77 0.6×	52 0.7×	30 0.5×	20 0.6×	6	489
Claude Masson	501 1.9×	14 0.1×	43 0.6×	29 0.5×	19 0.5×	21	591
Gregory Pratt	267 1.0×	90 0.8×	35 0.5×	10 0.2×	15 0.4×	10	388
Tae Ho Lee	87 0.3×	25 0.2×	32 0.5×	11 0.2×	16 0.5×	20	230

Countries citing papers authored by Jayashree Jagadeesh

Since Specialization

Citations

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

Fields of papers citing papers by Jayashree Jagadeesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayashree Jagadeesh

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

All Works

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8 of 8 papers shown

Pradeep, M. A., Jayashree Jagadeesh, Arun Kumar De, et al.. (2011). Purification, sequence characterization and effect of goat oviduct-specific glycoprotein on in vitro embryo development. Theriogenology. 75(6). 1005–1015. 46 indexed citations

Moncada‐Vélez, Marcela, A. Catalina Vélez-Ortega, Julio César Orrego, et al.. (2011). Somatic Mosaicism Caused by Monoallelic Reversion of a Mutation in T Cells of a Patient with ADA‐SCID and the Effects of Enzyme Replacement Therapy on the Revertant Phenotype. Scandinavian Journal of Immunology. 74(5). 471–481. 12 indexed citations

Sokolic, Robert, Greg M. Podsakoff, Linda Muul, et al.. (2009). Immune Reconstitution After Gene Therapy (GTx) for Adenosine Deaminase Deficient Severe Combined Immune Deficiency (ADA-SCID). Biology of Blood and Marrow Transplantation. 15(2). 27–27. 2 indexed citations

Sokolic, Robert, Greg M. Podsakoff, Linda Muul, et al.. (2007). Comparative Results of Gene Therapy for Adenosine Deaminase Deficiency with or without PEG-ADA Withdrawal and Myelosuppressive Chemotherapy.. Blood. 110(11). 501–501. 3 indexed citations

Drohat, Alexander C., Jayashree Jagadeesh, Eric Ferguson, & James T. Stivers. (1999). Role of Electrophilic and General Base Catalysis in the Mechanism of Escherichia coli Uracil DNA Glycosylase. Biochemistry. 38(37). 11866–11875. 88 indexed citations

Behrens, Timothy W., Jayashree Jagadeesh, Peggy Scherle, et al.. (1994). Jaw1, A lymphoid-restricted membrane protein localized to the endoplasmic reticulum.. The Journal of Immunology. 153(2). 682–690. 61 indexed citations

MacDonald, Marcy E., Michael Zimmer, Jonathan L. Haines, et al.. (1989). Clustering of multiallele DNA markers near the Huntington's disease gene.. Journal of Clinical Investigation. 84(3). 1013–1016. 48 indexed citations

Myers, Richard H., et al.. (1989). Homozygote for Huntington disease.. PubMed. 45(4). 615–8. 90 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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