T. J. Yao

20 total papers · 865 total citations
17 papers, 664 citations indexed

About

T. J. Yao is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, T. J. Yao has authored 17 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 5 papers in Cancer Research. Recurrent topics in T. J. Yao's work include Cancer Treatment and Pharmacology (8 papers), Breast Cancer Treatment Studies (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). T. J. Yao is often cited by papers focused on Cancer Treatment and Pharmacology (8 papers), Breast Cancer Treatment Studies (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). T. J. Yao collaborates with scholars based in United States, Japan and China. T. J. Yao's co-authors include Andrew D. Seidman, Clifford A. Hudis, John Crown, Teresa Gilewski, J. McCarthy Lepore, Violante E. Currie, Amy Tiersten, Sophie Barrett, Larry Norton and Nancy T. Sklarin and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

T. J. Yao

17 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
T. J. Yao	408	195	107	102	67	17	664
J M Howat	280 0.7×	207 1.1×	98 0.9×	89 0.9×	56 0.8×	37	751
Mary Wilkinson	366 0.9×	209 1.1×	82 0.8×	27 0.3×	76 1.1×	25	711
Nathan Bromham	142 0.3×	77 0.4×	88 0.8×	33 0.3×	28 0.4×	22	678
C. Lowdell	305 0.7×	60 0.3×	52 0.5×	20 0.2×	63 0.9×	29	660
Jihey Lee	326 0.8×	77 0.4×	54 0.5×	53 0.5×	102 1.5×	18	692
Johnique T. Atkins	160 0.4×	158 0.8×	59 0.6×	93 0.9×	244 3.6×	17	599
R. Nicholson	356 0.9×	204 1.0×	86 0.8×	99 1.0×	150 2.2×	11	636
P Murray	439 1.1×	130 0.7×	93 0.9×	27 0.3×	93 1.4×	15	682
Brooke M. Currie	82 0.2×	91 0.5×	67 0.6×	87 0.9×	237 3.5×	39	744
Dana Zakalik	311 0.8×	176 0.9×	91 0.9×	71 0.7×	142 2.1×	35	785

Countries citing papers authored by T. J. Yao

Since Specialization

Citations

This map shows the geographic impact of T. J. Yao'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 T. J. Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Yao more than expected).

Fields of papers citing papers by T. J. Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Yao

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