L.C. Chan

760 citations
26 papers · 627 · h-index 14

Impact in

Papers in

    • Hemoglobinopathies and Related Disorders 6
    • Chronic Lymphocytic Leukemia Research 6
    • Blood disorders and treatments 3
    • Acute Myeloid Leukemia Research 6
    • Blood groups and transfusion 3

L.C. Chan

26 papers receiving 601 citations

Peers

L.C. Chan
Comparison fields: 5 of 61
  • Hematology 232
  • Critical Care and Intensive Care Medicine 83
  • Genetics 128
  • Biochemistry 42
  • Nephrology 34
Replace Photis Beris with:
Photis Beris Switzerland
H Tonthat France
Wenche Jy United States
J. G. Pegels Netherlands
Kip R. Hartman United States
Tadashi Maekawa Japan
Caroline Sut France
C. H. W. Leeksma Netherlands
Eren Gündüz Türkiye
Jane Keidan United Kingdom
L.C. Chan relative to Photis Beris Switzerland Photis Beris's profile →
Citations per field
00.5×4.6×
Photis Beris · 1×
Citations per year

Countries citing papers authored by L.C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by L.C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L.C. 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 L.C. Chan Line = papers co-authored together L.C. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002140
2 199984
3 200359
4 199447
5 199741
6 199532
7 199925
8 199425
9 199724
10 199423
11 200920
12 199418
13 199616
14 200015
15 200212
16 20009
17 19948
18 19925
19 20025
20 20005

About L.C. Chan

L.C. Chan is a scholar working on Genetics, Hematology, Molecular Biology, Genetics and Physiology, having authored 26 papers that have together received 627 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Blood groups and transfusion (3 papers), Blood disorders and treatments (3 papers), Protein Degradation and Inhibitors (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Hematology (232 citations), Critical Care and Intensive Care Medicine (83 citations), Genetics (128 citations), Biochemistry (42 citations) and Nephrology (34 citations). L.C. Chan has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Ken Ng, Clarence Lam, Yok‐Lam Kwong, TK Chan, Edmond S.K., M. H. Y. Tang, Ching Man Lam, Raymond Liang, Che Kit Lin and David C. Wei. Their work appears in journals such as American Journal of Clinical Pathology, British Journal of Haematology, Journal of Clinical Pathology, Blood and Acta Haematologica.

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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