Eli J. Kasper

482 total citations
8 papers, 406 citations indexed

About

Eli J. Kasper is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Eli J. Kasper has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Eli J. Kasper's work include Immune Cell Function and Interaction (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Gut microbiota and health (3 papers). Eli J. Kasper is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Gut microbiota and health (3 papers). Eli J. Kasper collaborates with scholars based in United States, United Kingdom and Israel. Eli J. Kasper's co-authors include Lloyd H. Kasper, Javier Ochoa‐Repáraz, Kiel M. Telesford, Yan Wang, Simon C. Robson, Dennis L. Kasper, Sakhina Begum-Haque, Li Wang, Yan Wu and Sara L. Colpitts and has published in prestigious journals such as Nature Communications, Neurology and Journal of Neuroimmunology.

In The Last Decade

Eli J. Kasper

8 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eli J. Kasper United States	6	264	119	100	79	64	8	406
Kiel M. Telesford United States	8	361 1.4×	152 1.3×	145 1.4×	87 1.1×	79 1.2×	15	562
Shelly Roalstad United States	7	326 1.2×	52 0.4×	98 1.0×	74 0.9×	79 1.2×	10	445
Fyonn Dhang United States	3	281 1.1×	49 0.4×	64 0.6×	59 0.7×	45 0.7×	3	360
Theresa L. Montgomery United States	7	252 1.0×	151 1.3×	41 0.4×	45 0.6×	28 0.4×	8	401
Ali Mirza United States	8	222 0.8×	26 0.2×	67 0.7×	61 0.8×	90 1.4×	14	323
Lu Song China	9	384 1.5×	80 0.7×	115 1.1×	18 0.2×	20 0.3×	11	578
Paola Menghini United States	11	224 0.8×	62 0.5×	31 0.3×	32 0.4×	16 0.3×	21	420
Myrella L. Cruz Puerto Rico	12	200 0.8×	95 0.8×	36 0.4×	9 0.1×	53 0.8×	26	460
Natasha B. Golovchenko United States	5	297 1.1×	121 1.0×	65 0.7×	24 0.3×	8 0.1×	10	420
Erica N. DeJong Canada	8	205 0.8×	55 0.5×	63 0.6×	32 0.4×	11 0.2×	13	443

Countries citing papers authored by Eli J. Kasper

Since Specialization

Citations

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

Fields of papers citing papers by Eli J. Kasper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli J. Kasper. 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 Eli J. Kasper. The network helps show where Eli J. Kasper may publish in the future.

Co-authorship network of co-authors of Eli J. Kasper

This figure shows the co-authorship network connecting the top 25 collaborators of Eli J. Kasper. A scholar is included among the top collaborators of Eli J. Kasper 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 Eli J. Kasper. Eli J. Kasper 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

Colpitts, Sara L., Eli J. Kasper, Trevor O. Kirby, et al.. (2017). A bidirectional association between the gut microbiota and CNS disease in a biphasic murine model of multiple sclerosis. Gut Microbes. 8(6). 561–573. 74 indexed citations

Ochoa‐Repáraz, Javier, et al.. (2016). The Gut Microbiome Affects the Progression of Disease in a Murine Model of Secondary Progressive MS (P5.324). Neurology. 86(16_supplement). 1 indexed citations

Pant, Anudeep B., Yan Wang, Daniel W. Mielcarz, et al.. (2016). Alteration of CD39 + Foxp3 + CD4 T cell and cytokine levels in EAE/MS following anti-CD52 treatment. Journal of Neuroimmunology. 303. 22–30. 20 indexed citations

Ochoa‐Repáraz, Javier, Sara L. Colpitts, Eli J. Kasper, et al.. (2016). Induction of gut regulatory CD39⁺T cells by teriflunomide protects against EAE. Neurology Neuroimmunology & Neuroinflammation. 3(6). e291–e291. 25 indexed citations

Begum-Haque, Sakhina, Kiel M. Telesford, Yan Wang, et al.. (2014). Glatiramer Acetate Treatment Regulates CD44, Receptor For Osteopontin In EAE Mice (P1.214). Neurology. 82(10_supplement). 1 indexed citations

Wang, Yan, Kiel M. Telesford, Javier Ochoa‐Repáraz, et al.. (2014). An intestinal commensal symbiosis factor controls neuroinflammation via TLR2-mediated CD39 signalling. Nature Communications. 5(1). 4432–4432. 159 indexed citations

Wang, Yan, Sakhina Begum-Haque, Kiel M. Telesford, et al.. (2014). A commensal bacterial product elicits and modulates migratory capacity of CD39⁺CD4 T regulatory subsets in the suppression of neuroinflammation. Gut Microbes. 5(4). 552–561. 107 indexed citations

Begum-Haque, Sakhina, Yan Wang, Eli J. Kasper, et al.. (2012). Glatiramer acetate biases dendritic cells towards an anti-inflammatory phenotype by modulating OPN, IL-17, and RORγt responses and by increasing IL-10 production in experimental allergic encephalomyelitis. Journal of Neuroimmunology. 254(1-2). 117–124. 19 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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