Ka‐Wah Chan

29 total papers · 1.1k total citations
15 papers, 459 citations indexed

About

Ka‐Wah Chan is a scholar working on Hematology, Oncology and Surgery. According to data from OpenAlex, Ka‐Wah Chan has authored 15 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Oncology and 5 papers in Surgery. Recurrent topics in Ka‐Wah Chan's work include Hematopoietic Stem Cell Transplantation (8 papers), Sarcoma Diagnosis and Treatment (3 papers) and Polyomavirus and related diseases (3 papers). Ka‐Wah Chan is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Sarcoma Diagnosis and Treatment (3 papers) and Polyomavirus and related diseases (3 papers). Ka‐Wah Chan collaborates with scholars based in United States, Canada and France. Ka‐Wah Chan's co-authors include Issa F. Khouri, Sergio Giralt, Rima M. Saliba, Richard E. Champlin, Wen Liu‐Mares, Karen L. Lindsley, Richard Görlick, Jeffrey Davis, James B. Nachman and Paul A. Meyers and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Ka‐Wah Chan

15 papers receiving 441 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ka‐Wah Chan	190	169	164	80	69	15	459
H.‐J. Laws	195 1.0×	89 0.5×	124 0.8×	67 0.8×	86 1.2×	28	512
Anita K. Siddiqui	130 0.7×	85 0.5×	83 0.5×	95 1.2×	86 1.2×	15	430
Aude Marie‐Cardine	68 0.4×	137 0.8×	74 0.5×	34 0.4×	37 0.5×	24	412
John Champion	221 1.2×	48 0.3×	171 1.0×	88 1.1×	55 0.8×	16	464
Gustav Fischmeister	118 0.6×	159 0.9×	92 0.6×	23 0.3×	40 0.6×	19	415
Antonia Uri	146 0.8×	99 0.6×	60 0.4×	128 1.6×	32 0.5×	19	474
Martha F. Greenwood	175 0.9×	99 0.6×	107 0.7×	59 0.7×	18 0.3×	12	532
Gilchrist Gs	132 0.7×	108 0.6×	85 0.5×	100 1.3×	39 0.6×	16	425
Heather Hooper	80 0.4×	163 1.0×	148 0.9×	38 0.5×	28 0.4×	11	449
Draga Barbaric	52 0.3×	201 1.2×	90 0.5×	31 0.4×	18 0.3×	27	514

Countries citing papers authored by Ka‐Wah Chan

Since Specialization

Citations

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

Fields of papers citing papers by Ka‐Wah Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ka‐Wah Chan

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

All Works

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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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