Jadee L. Upshaw

9 total papers · 908 total citations
6 papers, 730 citations indexed

About

Jadee L. Upshaw is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Jadee L. Upshaw has authored 6 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Oncology and 2 papers in Physiology. Recurrent topics in Jadee L. Upshaw's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Calcium signaling and nucleotide metabolism (2 papers). Jadee L. Upshaw is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Calcium signaling and nucleotide metabolism (2 papers). Jadee L. Upshaw collaborates with scholars based in United States and Australia. Jadee L. Upshaw's co-authors include Paul J. Leibson, Renee A. Schoon, Christopher J. Dick, Daniel D. Billadeau, Laura N. Arneson, Aaron J. Johnson, Moses Rodriguez, Larry R. Pease, Kevin D. Pavelko and William F. Chissoe and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Jadee L. Upshaw

6 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
Jadee L. Upshaw	672	284	52	35	34	6	730
Shiyue Hou	675 1.0×	162 0.6×	75 1.4×	46 1.3×	41 1.2×	8	805
Dick John Pang	840 1.3×	119 0.4×	76 1.5×	35 1.0×	48 1.4×	6	909
Rachel E. Kohler	588 0.9×	170 0.6×	98 1.9×	57 1.6×	44 1.3×	5	726
Alessandro Moretta	782 1.2×	401 1.4×	121 2.3×	13 0.4×	29 0.9×	10	890
Patrick Tan	523 0.8×	118 0.4×	83 1.6×	36 1.0×	27 0.8×	6	653
Apinya Ngam-ek	578 0.9×	143 0.5×	108 2.1×	29 0.8×	64 1.9×	7	699
Eva Schlecker	567 0.8×	351 1.2×	93 1.8×	16 0.5×	26 0.8×	4	661
Beverley Wilkinson	466 0.7×	214 0.8×	154 3.0×	39 1.1×	44 1.3×	8	637
Tomohiro Kodama	456 0.7×	228 0.8×	142 2.7×	23 0.7×	32 0.9×	11	631
Fréderic Vély	545 0.8×	249 0.9×	97 1.9×	24 0.7×	60 1.8×	5	651

Countries citing papers authored by Jadee L. Upshaw

Since Specialization

Citations

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

Fields of papers citing papers by Jadee L. Upshaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jadee L. Upshaw. 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 Jadee L. Upshaw. The network helps show where Jadee L. Upshaw may publish in the future.

Co-authorship network of co-authors of Jadee L. Upshaw

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

All Works

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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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