H.-Y. Chan

722 total citations · 1 hit paper
7 papers, 555 citations indexed

About

H.-Y. Chan is a scholar working on Surgery, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, H.-Y. Chan has authored 7 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 2 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in H.-Y. Chan's work include Breast Cancer Treatment Studies (2 papers), Breast Implant and Reconstruction (2 papers) and Abdominal vascular conditions and treatments (1 paper). H.-Y. Chan is often cited by papers focused on Breast Cancer Treatment Studies (2 papers), Breast Implant and Reconstruction (2 papers) and Abdominal vascular conditions and treatments (1 paper). H.-Y. Chan collaborates with scholars based in United Kingdom, Australia and Italy. H.-Y. Chan's co-authors include Victoria Wong, Grace Lai–Hung Wong, Jun Yu, Martin Li, Joseph J.�Y. Sung, Paul C.L. Choi, Anthony W.H. Chan, Henry Lik‐Yuen Chan, A. M.‐L. Chim and Ling‐Ling Yeh and has published in prestigious journals such as Gut, Journal of Neurochemistry and Psychological Medicine.

In The Last Decade

H.-Y. Chan

6 papers receiving 543 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.

Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years

2010 510 citations Victoria Wong, Grace Lai–Hung Wong et al. Gut profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H.-Y. Chan United Kingdom	5	487	222	215	97	79	7	555
Antonio Luis Eiras de Araújo Brazil	6	403 0.8×	124 0.6×	223 1.0×	87 0.9×	88 1.1×	10	465
Mark Pabst United States	5	550 1.1×	271 1.2×	221 1.0×	101 1.0×	104 1.3×	5	616
Junzhao Ye China	15	481 1.0×	169 0.8×	206 1.0×	66 0.7×	63 0.8×	49	589
Mituyoshi Okada Japan	4	429 0.9×	166 0.7×	267 1.2×	58 0.6×	79 1.0×	6	481
Carol Hawkins United States	6	340 0.7×	134 0.6×	183 0.9×	64 0.7×	96 1.2×	9	402
Maryann Maximos United States	6	722 1.5×	219 1.0×	433 2.0×	136 1.4×	144 1.8×	7	807
Deborah L. Rasmussen United States	6	396 0.8×	96 0.4×	203 0.9×	75 0.8×	69 0.9×	7	517
Vito Giannuzzi Italy	12	298 0.6×	158 0.7×	136 0.6×	62 0.6×	40 0.5×	22	457
Mariana Elorz Spain	11	307 0.6×	117 0.5×	157 0.7×	70 0.7×	35 0.4×	29	427
Kyoko Yonemitsu Japan	6	296 0.6×	115 0.5×	118 0.5×	88 0.9×	38 0.5×	10	422

Countries citing papers authored by H.-Y. Chan

Since Specialization

Citations

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

Fields of papers citing papers by H.-Y. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-Y. Chan. 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 H.-Y. Chan. The network helps show where H.-Y. Chan may publish in the future.

Co-authorship network of co-authors of H.-Y. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of H.-Y. Chan. A scholar is included among the top collaborators of H.-Y. Chan 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 H.-Y. Chan. H.-Y. Chan 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:

7 of 7 papers shown

1.

Ghezzi, Laura, Georgia Watt, Dana C. Perantie, et al.. (2025). The Serum Lipid Profile of Relapsing Multiple Sclerosis Differs Reproducibly From Healthy Controls. Journal of Neurochemistry. 169(11). e70285–e70285.

2.

Cheng, T.C.E., et al.. (2020). In vitro interactions on glucose by different fiber materials prepared from mung bean hulls, rice bran and lemon pomace. Journal of Food and Drug Analysis. 17(4). 9 indexed citations

3.

Pan, Yi‐Ju, Ling‐Ling Yeh, H.-Y. Chan, & Chin‐Kuo Chang. (2017). Transformation of excess mortality in people with schizophrenia and bipolar disorder in Taiwan. Psychological Medicine. 47(14). 2483–2493. 15 indexed citations

4.

Chan, H.-Y., et al.. (2015). Phlebosclerotic colitis: radiological findings of an uncommon entity. Hong Kong Medical Journal. 573.e1–573.e2. 2 indexed citations

5.

Kirwan, Cliona, Wail Al Sarakbi, J. Loncaster, et al.. (2013). Tumour bed clip localisation for targeted breast radiotherapy: Compliance is proportional to trial-related research activity. European Journal of Surgical Oncology. 40(2). 158–162. 9 indexed citations

6.

Critchley, Adam, Alastair M. Thompson, H.-Y. Chan, & Malcolm Reed. (2012). Current Controversies in Breast Cancer Surgery. Clinical Oncology. 25(2). 101–108. 10 indexed citations

7.

Wong, Victoria, Grace Lai–Hung Wong, Paul C.L. Choi, et al.. (2010). Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years. Gut. 59(7). 969–974. 510 indexed citations breakdown →

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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