Wendy Tu

37 total papers · 457 total citations
21 papers, 173 citations indexed

About

Wendy Tu is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wendy Tu has authored 21 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wendy Tu's work include Adrenal and Paraganglionic Tumors (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Urologic and reproductive health conditions (3 papers). Wendy Tu is often cited by papers focused on Adrenal and Paraganglionic Tumors (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Urologic and reproductive health conditions (3 papers). Wendy Tu collaborates with scholars based in Canada, United States and Japan. Wendy Tu's co-authors include Nicola Schieda, Matthew D. F. McInnes, Christopher S. Lim, Christian B. van der Pol, Andrew D. Chung, Jorge Abreu‐Gomez, Satheesh Krishna, Trevor A. Flood, Ravi V. Gottumukkala and Linda M. Hall and has published in prestigious journals such as American Journal of Roentgenology, Radiographics and Urology.

In The Last Decade

Wendy Tu

18 papers receiving 173 citations

Author Peers

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

Author						Papers	Cites
Wendy Tu	89	69	34	23	22	21	173
Yutian Yin	76 0.9×	143 2.1×	93 2.7×	14 0.6×	8 0.4×	20	282
D. Cehic	51 0.6×	89 1.3×	46 1.4×	12 0.5×	12 0.5×	15	244
Marissa Maas	108 1.2×	48 0.7×	100 2.9×	20 0.9×	15 0.7×	21	239
Savvas Frangos	47 0.5×	56 0.8×	23 0.7×	65 2.8×	7 0.3×	20	153
Maolin Chen	64 0.7×	48 0.7×	26 0.8×	68 3.0×	12 0.5×	21	222
Steven Nissen	106 1.2×	55 0.8×	23 0.7×	27 1.2×	7 0.3×	20	275
Mina Fam	143 1.6×	23 0.3×	83 2.4×	10 0.4×	23 1.0×	24	253
Cornelia Fießler	25 0.3×	23 0.3×	24 0.7×	16 0.7×	53 2.4×	19	189
Yongle Li	89 1.0×	71 1.0×	18 0.5×	13 0.6×	5 0.2×	22	230
Prashant Kelkar	124 1.4×	57 0.8×	15 0.4×	5 0.2×	29 1.3×	20	271

Countries citing papers authored by Wendy Tu

Since Specialization

Citations

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

Fields of papers citing papers by Wendy Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendy Tu. 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 Wendy Tu. The network helps show where Wendy Tu may publish in the future.

Co-authorship network of co-authors of Wendy Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Wendy Tu. A scholar is included among the top collaborators of Wendy Tu 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 Wendy Tu. Wendy Tu 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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