Cheuk‐Him Man

1k citations
27 papers · 836 · h-index 14

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Acute Myeloid Leukemia Research 20
    • Hematopoietic Stem Cell Transplantation 2
    • Cancer, Hypoxia, and Metabolism 4

Cheuk‐Him Man

27 papers receiving 828 citations

Peers

Cheuk‐Him Man
Comparison fields: 5 of 61
  • Hematology 422
  • Cancer Research 80
  • Otorhinolaryngology 28
  • Cell Biology 49
  • Molecular Biology 182
Replace Maurizio Fazio with:
Maurizio Fazio United States
John D. Shaughnessy United States
Tommaso Selmi Italy
Vijay G. Ramakrishnan United States
Marcelo J. Murai United States
Chris D. Riffkin Australia
Isabel Boivin Canada
Miten Patel United States
Donna S. Shields United States
Patricia Balsas Spain
Cheuk‐Him Man relative to Maurizio Fazio United States Maurizio Fazio's profile →
Citations per field
00.5×2×3×4.2×
Maurizio Fazio · 1×
Citations per year

Countries citing papers authored by Cheuk‐Him Man

Since Specialization
Citations

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

Fields of papers citing papers by Cheuk‐Him Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheuk‐Him Man. 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 Cheuk‐Him Man. The network helps show where Cheuk‐Him Man may publish in the future.

Co-authors

The 25 scholars most cited alongside Cheuk‐Him Man, 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 Cheuk‐Him Man Line = papers co-authored together Cheuk‐Him Man links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012252
2 202172
3 201666
4 201161
5 201452
6 201550
7 201437
8 202134
9 202232
10 202232
11 202332
12 202428
13 201524
14 202015
15 202213
16 201510
17 20209
18 20223
19 20132
20 20152

About Cheuk‐Him Man

Cheuk‐Him Man is a scholar working on Hematology, Cancer Research, Otorhinolaryngology, Cell Biology and Infectious Diseases, having authored 27 papers that have together received 836 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Cancer, Hypoxia, and Metabolism (4 papers), Mitochondrial Function and Pathology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Head and Neck Cancer Studies (1 paper), Zebrafish Biomedical Research Applications (1 paper), COVID-19 Clinical Research Studies (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Hematology (422 citations), Cancer Research (80 citations), Otorhinolaryngology (28 citations), Cell Biology (49 citations) and Molecular Biology (182 citations). Cheuk‐Him Man has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Anskar Y.H. Leung, Yok‐Lam Kwong, Howard C.H. Chow, William W.L. Choi, Tsz Kan Fung, Alice Man Sze Cheung, Alvin Chun Hang Ma, Connie J. Eaves, Chi Wai Eric So and Shuangnian Xu. Their work appears in journals such as Blood, Haematologica, The Journal of Pathology, Science Translational Medicine and Nature Communications.

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.

Explore authors with similar magnitude of impact