Tamson V. Moore

42 total papers · 613 total citations
27 papers, 437 citations indexed

About

Tamson V. Moore is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Tamson V. Moore has authored 27 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 11 papers in Oncology and 5 papers in Physiology. Recurrent topics in Tamson V. Moore's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (14 papers) and CAR-T cell therapy research (10 papers). Tamson V. Moore is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (14 papers) and CAR-T cell therapy research (10 papers). Tamson V. Moore collaborates with scholars based in United States, Germany and Croatia. Tamson V. Moore's co-authors include Michael I. Nishimura, Anne I. Sperling, Gretchen E. Lyons, Bryan S. Clay, Rebecca A. Shilling, J. Roszkowski, Natasha Brasic, Judy L. Cannon, Mingli Li and Jesse W. Williams and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Tamson V. Moore

27 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Tamson V. Moore	328	171	91	43	39	27	437
Daniil Shevyrev	276 0.8×	98 0.6×	81 0.9×	37 0.9×	39 1.0×	20	405
Hitoshi Hanamoto	248 0.8×	145 0.8×	67 0.7×	20 0.5×	18 0.5×	28	418
Itzhak Mendel	258 0.8×	79 0.5×	117 1.3×	34 0.8×	21 0.5×	23	429
Chris Hansell	324 1.0×	241 1.4×	64 0.7×	16 0.4×	24 0.6×	14	423
Evangelia Skarmoutsou	198 0.6×	89 0.5×	160 1.8×	45 1.0×	36 0.9×	25	483
Maria Velegraki	259 0.8×	143 0.8×	110 1.2×	36 0.8×	22 0.6×	22	484
Angela Hughson	308 0.9×	102 0.6×	52 0.6×	40 0.9×	19 0.5×	15	428
Thomas Magg	274 0.8×	109 0.6×	162 1.8×	61 1.4×	26 0.7×	25	481
Yu Lin	274 0.8×	114 0.7×	145 1.6×	80 1.9×	17 0.4×	21	447
K Katamura	280 0.9×	59 0.3×	120 1.3×	33 0.8×	49 1.3×	19	431

Countries citing papers authored by Tamson V. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Tamson V. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamson V. Moore. 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 Tamson V. Moore. The network helps show where Tamson V. Moore may publish in the future.

Co-authorship network of co-authors of Tamson V. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Tamson V. Moore. A scholar is included among the top collaborators of Tamson V. Moore 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 Tamson V. Moore. Tamson V. Moore 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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