Henry Chan

975 citations
37 papers · 414 · h-index 11

Impact in

Papers in

    • Cancer Treatment and Pharmacology 6
    • Peptidase Inhibition and Analysis 4
    • CAR-T cell therapy research 4
    • Protein Degradation and Inhibitors 4

Henry Chan

34 papers receiving 406 citations

Peers

Henry Chan
Comparison fields: 5 of 74
  • Hematology 78
  • Aging 11
  • Physiology 140
  • Emergency Medical Services 38
  • Genetics 56
Replace Naoko Yokohori with:
Naoko Yokohori Japan
Thomas Scambler United Kingdom
Amy Dresen United States
Bingni Chen China
Yangfeng Ding China
Richard Coffey United States
Türker Bilgen Türkiye
Xunzhen Zheng United States
Shengliang Ye China
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Henry Chan relative to Naoko Yokohori Japan Naoko Yokohori's profile →
Citations per field
00.5×7.8×
Naoko Yokohori · 1×
Citations per year

Countries citing papers authored by Henry Chan

Since Specialization
Citations

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

Fields of papers citing papers by Henry Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Henry Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Henry Chan Line = papers co-authored together Henry Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201850
3 199640
4 201732
5 202224
6 201719
7
Socioeconomic disparities in breast cancer screening in Hawaii.
200719
8 201914
9 202012
10 201912
11 202211
12 201610
13 20188
14 20167
15 19916
16 20245
17 20235
18 20215
19 20114
20 20194

About Henry Chan

Henry Chan is a scholar working on Oncology, Molecular Biology, Hematology, Pathology and Forensic Medicine and Genetics, having authored 37 papers that have together received 414 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Cancer Treatment and Pharmacology (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers), CAR-T cell therapy research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Hematology (78 citations), Aging (11 citations), Physiology (140 citations), Emergency Medical Services (38 citations) and Genetics (56 citations). Henry Chan has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Juli Feigon, Yaqiang Wang, Jiansen Jiang, Ritwika Basu, Z. Hong Zhou, Lukas Sušac, Donna Reece, Christine I. Chen, Richard J. Milne and Timothy J. Halliday. Their work appears in journals such as Blood, Annals of Oncology, British Journal of Haematology, Journal of Geriatric Oncology and Journal of Physiology and Biochemistry.

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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