Tammy P. Cheng

13 total papers · 651 total citations
12 papers, 519 citations indexed

About

Tammy P. Cheng is a scholar working on Oncology, Immunology and Epidemiology. According to data from OpenAlex, Tammy P. Cheng has authored 12 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Tammy P. Cheng's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Tammy P. Cheng is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Tammy P. Cheng collaborates with scholars based in United States, United Kingdom and Canada. Tammy P. Cheng's co-authors include Wayne M. Yokoyama, Jeanette T. Pingel, Mona Lisa Banquerigo, Stephen J. Oliver, Ernest Brahn, Liping Yang, Achim Schneeberger, Peter A. Keyel, Sandeep K. Tripathy and David M. Frucht and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Tammy P. Cheng

12 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Tammy P. Cheng	283	134	111	80	63	12	519
Christopher Eichman	300 1.1×	188 1.4×	117 1.1×	85 1.1×	42 0.7×	12	565
Shuji Kaga	330 1.2×	125 0.9×	103 0.9×	50 0.6×	40 0.6×	18	572
Fui G. Goh	280 1.0×	162 1.2×	91 0.8×	57 0.7×	108 1.7×	9	570
Xingwen Dong	223 0.8×	266 2.0×	83 0.7×	47 0.6×	72 1.1×	15	527
Alison Connor	152 0.5×	286 2.1×	115 1.0×	61 0.8×	87 1.4×	17	546
R Mizrachi-Koll	284 1.0×	105 0.8×	89 0.8×	46 0.6×	81 1.3×	17	569
John C. Scatizzi	391 1.4×	255 1.9×	112 1.0×	40 0.5×	131 2.1×	16	609
Rasmus Boye Kjellerup	461 1.6×	133 1.0×	140 1.3×	27 0.3×	56 0.9×	13	601
Beatrix Metzner	341 1.2×	106 0.8×	188 1.7×	70 0.9×	37 0.6×	14	544
Flavia Bottarel	341 1.2×	183 1.4×	70 0.6×	80 1.0×	23 0.4×	15	579

Countries citing papers authored by Tammy P. Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Tammy P. Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tammy P. Cheng. 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 Tammy P. Cheng. The network helps show where Tammy P. Cheng may publish in the future.

Co-authorship network of co-authors of Tammy P. Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Tammy P. Cheng. A scholar is included among the top collaborators of Tammy P. Cheng 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 Tammy P. Cheng. Tammy P. Cheng 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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