Wing-Yan Au

2.5k total citations · 1 hit paper
5 papers, 755 citations indexed

About

Wing-Yan Au is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Wing-Yan Au has authored 5 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Wing-Yan Au's work include Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (3 papers) and Viral-associated cancers and disorders (2 papers). Wing-Yan Au is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (3 papers) and Viral-associated cancers and disorders (2 papers). Wing-Yan Au collaborates with scholars based in China, Hong Kong and South Korea. Wing-Yan Au's co-authors include Raymond Liang, Shigeo Nakamura, Jamés O. Armitage, Ivy Sng, Dennis D. Weisenburger, Tanin Intragumtornchai, Won-Seog Kim, Julie M. Vose, Yok‐Lam Kwong and Gopesh Srivastava and has published in prestigious journals such as Blood, Clinical Cancer Research and Biology of Blood and Marrow Transplantation.

In The Last Decade

Wing-Yan Au

5 papers receiving 742 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical differences between nasal and extranasal natural killer/T-cell lymphoma: a study of 136 cases from the International Peripheral T-Cell Lymphoma Project

2008 538 citations Wing-Yan Au, Dennis D. Weisenburger et al. Blood profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wing-Yan Au China	5	658	531	315	99	98	5	755
Won-Seog Kim South Korea	6	696 1.1×	580 1.1×	250 0.8×	118 1.2×	118 1.2×	8	796
Tiffany Tang Singapore	10	500 0.8×	398 0.7×	209 0.7×	79 0.8×	61 0.6×	27	682
Qun‐pei Yang China	12	580 0.9×	500 0.9×	201 0.6×	116 1.2×	56 0.6×	22	671
Thamathorn Assanasen Thailand	8	441 0.7×	248 0.5×	146 0.5×	59 0.6×	152 1.6×	16	550
F Loong China	11	386 0.6×	282 0.5×	154 0.5×	55 0.6×	72 0.7×	19	612
Maricer P. Escalón United States	12	408 0.6×	263 0.5×	208 0.7×	81 0.8×	77 0.8×	22	724
Xi-Wen Bi China	12	354 0.5×	397 0.7×	199 0.6×	70 0.7×	22 0.2×	24	577
Julien Lazarovici France	10	335 0.5×	435 0.8×	189 0.6×	65 0.7×	34 0.3×	36	684
Manuela Zanni Italy	11	639 1.0×	376 0.7×	146 0.5×	107 1.1×	91 0.9×	35	713
Zhen Fan United States	6	392 0.6×	342 0.6×	90 0.3×	135 1.4×	31 0.3×	8	586

Countries citing papers authored by Wing-Yan Au

Since Specialization

Citations

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

Fields of papers citing papers by Wing-Yan Au

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing-Yan Au. 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 Wing-Yan Au. The network helps show where Wing-Yan Au may publish in the future.

Co-authorship network of co-authors of Wing-Yan Au

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Hosgood, H. Dean, Wing-Yan Au, Hee Nam Kim, et al.. (2013). IL10 and TNF variants and risk of non-Hodgkin lymphoma among three Asian populations. International Journal of Hematology. 97(6). 793–799. 22 indexed citations

2.

Dong, Gehong, Estelle Chanudet, Naiyan Zeng, et al.. (2011). A20 , ABIN-1/2 , and CARD11 Mutations and Their Prognostic Value in Gastrointestinal Diffuse Large B-Cell Lymphoma. Clinical Cancer Research. 17(6). 1440–1451. 50 indexed citations

3.

Lee, Jeeyun, Wing-Yan Au, Min Jae Park, et al.. (2008). Autologous Hematopoietic Stem Cell Transplantation in Extranodal Natural Killer/T Cell Lymphoma: A Multinational, Multicenter, Matched Controlled Study. Biology of Blood and Marrow Transplantation. 14(12). 1356–1364. 98 indexed citations

4.

Au, Wing-Yan, Dennis D. Weisenburger, Tanin Intragumtornchai, et al.. (2008). Clinical differences between nasal and extranasal natural killer/T-cell lymphoma: a study of 136 cases from the International Peripheral T-Cell Lymphoma Project. Blood. 113(17). 3931–3937. 538 indexed citations breakdown →

5.

Chen, Yun‐Wen, Anthony C. Liang, Wing-Yan Au, et al.. (2006). High BCL6 expression predicts better prognosis, independent of BCL6 translocation status, translocation partner, or BCL6-deregulating mutations, in gastric lymphoma. Blood. 108(7). 2373–2383. 47 indexed citations

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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