Salil D. Patel

1.8k total citations
19 papers, 1.5k citations indexed

About

Salil D. Patel is a scholar working on Immunology, Genetics and Oncology. According to data from OpenAlex, Salil D. Patel has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Genetics and 5 papers in Oncology. Recurrent topics in Salil D. Patel's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Diabetes and associated disorders (5 papers). Salil D. Patel is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Diabetes and associated disorders (5 papers). Salil D. Patel collaborates with scholars based in United States, United Kingdom and Malaysia. Salil D. Patel's co-authors include Brian A. Donahue, Andrew P. Cope, Richard O. Snyder, Mauro Congia, James G. McArthur, C I Ragan, Fergus G.P. Earley, Giuseppe Attardi, Grete Sønderstrup and Марина Москаленко and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.

In The Last Decade

Salil D. Patel

18 papers receiving 1.4k citations

Peers

Salil D. Patel
Stephen E. Maher United States
Grete Sønderstrup United States
Yonglian Sun United States
John Marken United States
Wendell C. Speers United States
S Pestka United States
Andrew Sprague United States
Uri Nir Israel
Dirk Moritz Switzerland
George Q. Perrin United States
Stephen E. Maher United States
Salil D. Patel
Citations per year, relative to Salil D. Patel Salil D. Patel (= 1×) peers Stephen E. Maher

Countries citing papers authored by Salil D. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Salil D. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salil D. Patel. 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 Salil D. Patel. The network helps show where Salil D. Patel may publish in the future.

Co-authorship network of co-authors of Salil D. Patel

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

All Works

19 of 19 papers shown
1.
Patel, Salil D., James J. FitzGerald, & Chrystalina A. Antoniades. (2025). Decoding dynamic brain networks in Parkinson’s disease with temporal attention. Scientific Reports. 15(1). 18798–18798. 1 indexed citations
2.
Patel, Salil D., et al.. (2022). Parkinson’s disease deficits in time perception to auditory as well as visual stimuli – A large online study. Frontiers in Neuroscience. 16. 995438–995438.
3.
Sokolove, Jeremy, Michael Schiff, Roy Fleischmann, et al.. (2015). Impact of baseline anti-cyclic citrullinated peptide-2 antibody concentration on efficacy outcomes following treatment with subcutaneous abatacept or adalimumab: 2-year results from the AMPLE trial. Annals of the Rheumatic Diseases. 75(4). 709–714. 135 indexed citations
4.
Freitag, Tobias, Candace M. Cham, Georg F. Beilhack, et al.. (2010). Human Risk Allele HLA-DRB1*0405 Predisposes Class II Transgenic Ab0 NOD Mice to Autoimmune Pancreatitis. Gastroenterology. 139(1). 281–291. 14 indexed citations
5.
Hall, Frances, Joshua D. Rabinowitz, Robert Busch, et al.. (2002). Relationship between kinetic stability and immunogenicity of HLA-DR4/peptide complexes. European Journal of Immunology. 32(3). 662–662. 46 indexed citations
6.
Patel, Salil D., Марина Москаленко, Douglas H. Smith, et al.. (2000). T-cell killing of heterogenous tumor or viral targets with bispecific chimeric immune receptors. Cancer Gene Therapy. 7(8). 1127–1134. 19 indexed citations
7.
Москаленко, Марина, Lili Chen, Melinda Van Roey, et al.. (2000). Epitope Mapping of Human Anti-Adeno-Associated Virus Type 2 Neutralizing Antibodies: Implications for Gene Therapy and Virus Structure. Journal of Virology. 74(4). 1761–1766. 201 indexed citations
8.
Patel, Salil D., Ying Ge, Марина Москаленко, et al.. (2000). The p53-Independent Tumoricidal Activity of an Adenoviral Vector Encoding a p27–p16 Fusion Tumor Suppressor Gene. Molecular Therapy. 2(2). 161–169. 16 indexed citations
9.
Patel, Salil D., Ying Ge, Марина Москаленко, & James G. McArthur. (2000). Anti-Tumor CC49-ζ CD4 T Cells Possess Both Cytolytic and Helper Functions. Journal of Immunotherapy. 23(6). 661–668. 11 indexed citations
10.
Snyder, Richard O., Carol H. Miao, Leonard Meuse, et al.. (1999). Correction of hemophilia B in canine and murine models using recombinant adeno-associated viral vectors. Nature Medicine. 5(1). 64–70. 339 indexed citations
11.
Herman, Ann, Roland Tisch, Salil D. Patel, et al.. (1999). Determination of Glutamic Acid Decarboxylase 65 Peptides Presented by the Type I Diabetes-Associated HLA-DQ8 Class II Molecule Identifies an Immunogenic Peptide Motif. The Journal of Immunology. 163(11). 6275–6282. 46 indexed citations
12.
Sønderstrup, Grete, Andrew P. Cope, Salil D. Patel, et al.. (1999). HLA class II transgenic mice: models of the human CD4+ T‐cell immune response. Immunological Reviews. 172(1). 335–343. 46 indexed citations
13.
McGuinness, Ryan, Ying Ge, Salil D. Patel, et al.. (1999). Anti-Tumor Activity of Human T Cells Expressing the CC49-zeta Chimeric Immune Receptor. Human Gene Therapy. 10(2). 165–173. 83 indexed citations
14.
Cope, Andrew P., Salil D. Patel, Frances Hall, et al.. (1999). T cell responses to a human cartilage autoantigen in the context of rheumatoid arthritis–associated and nonassociated HLA–DR4 alleles. Arthritis & Rheumatism. 42(7). 1497–1507. 87 indexed citations
15.
Congia, Mauro, Salil D. Patel, Andrew P. Cope, S. De Virgiliis, & Grete Sønderstrup. (1998). T cell epitopes of insulin defined in HLA-DR4 transgenic mice are derived from preproinsulin and proinsulin. Proceedings of the National Academy of Sciences. 95(7). 3833–3838. 94 indexed citations
16.
Patel, Salil D., et al.. (1997). Identification of immunodominant T cell epitopes of human glutamic acid decarboxylase 65 by using HLA-DR(α1*0101,β1*0401) transgenic mice. Proceedings of the National Academy of Sciences. 94(15). 8082–8087. 101 indexed citations
17.
Patel, Salil D., et al.. (1996). Molecular Biotechnology: Therapeutic Applications and Strategies. Medical Entomology and Zoology. 6 indexed citations
18.
Endert, Peter Van, Roland Liblau, Salil D. Patel, et al.. (1994). Major Histocompatibility Complex–Encoded Antigen Processing Gene Polymorphism in IDDM. Diabetes. 43(1). 110–117. 48 indexed citations
19.
Earley, Fergus G.P., Salil D. Patel, C I Ragan, & Giuseppe Attardi. (1987). Photolabelling of a mitochondrially encoded subunit of NADH dehydrogenase with [3H]dihydrorotenone. FEBS Letters. 219(1). 108–112. 162 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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