Steven M. Chan

6.3k citations
94 papers · 3.7k indexed · 3 hit papers · h-index 25

Impact in

Papers in

    • Acute Myeloid Leukemia Research 50
    • Chronic Myeloid Leukemia Treatments 14
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 10

Steven M. Chan

83 papers receiving 3.7k citations

Hit Papers

Circulating tumor DNA and liquid biopsy in oncology 2020 · 382 citations
3822015202620182022200400600

Peers

Steven M. Chan
Comparison fields: 5 of 123
  • Hematology 1.4k
  • Cancer Research 840
  • Genetics 376
  • Molecular Biology 2.4k
  • Immunology 558
Replace Faiyaz Notta with:
Faiyaz Notta Canada
Daniele Caracciolo Italy
Jian Hou China
Markus Müschen United States
John F. Lyons United States
Joshua F. McMichael United States
Antoninus Soosaipillai Canada
Cyrus V. Hedvat United States
Claire Mathiot France
Geoffrey W. Krystal United States
Steven M. Chan relative to Faiyaz Notta Canada Faiyaz Notta's profile →
Citations per field
00.5×1.6×
Faiyaz Notta · 1×
Citations per year

Countries citing papers authored by Steven M. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20240
5 20235
6 20231
7 20222
8 202213
9 20222
10
Circulating tumor DNA and liquid biopsy in oncology
Hit paper breakdown →
2020382
11 201960
12 201823
13 201789
14 20172
15 201411
16 201328
17 20065
18 200572
19 2004159
20 200455

About Steven M. Chan

Steven M. Chan is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 94 papers that have together received 3.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (50 papers), Acute Lymphoblastic Leukemia research (19 papers), Chronic Myeloid Leukemia Treatments (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (10 papers), Protein Degradation and Inhibitors (8 papers) and Histone Deacetylase Inhibitors Research (8 papers). The work is most often cited by research in Hematology (1.4k citations), Cancer Research (840 citations), Genetics (376 citations), Molecular Biology (2.4k citations) and Immunology (558 citations). Steven M. Chan has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Ravindra Majeti, Paul J. Utz, M. Ryan Corces, Bruno C. Medeiros, Scott V. Bratman, David W. Cescon, Lillian L. Siu, Danièl Thomas, Julie L. Koenig and Jason D. Buenrostro. Their work appears in journals such as Blood, Leukemia, Nature Medicine, British Journal of Haematology 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.

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