Mark Yan

420 citations
8 papers · 148 · h-index 4

Impact in

    • Acute Myeloid Leukemia Research
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research

Papers in

    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Chronic Lymphocytic Leukemia Research 2
    • Blood disorders and treatments 1

Mark Yan

8 papers receiving 145 citations

Peers

Mark Yan
Comparison fields: 5 of 28
  • Hematology 44
  • Oncology 96
  • Pathology and Forensic Medicine 60
  • Genetics 25
  • Dermatology 16
Replace Catalina Amador with:
Catalina Amador United States
Julia González‐Rincón Spain
Barbara Mantoan Italy
Maneesh Tandon United Kingdom
Austin I. Kim United States
Cassandra Choe-Juliak United States
Tressa Hood United States
Stefan Köhrer Austria
Kaitlen Reyes United States
Donata Sartori Italy
Mark Yan relative to Catalina Amador United States Catalina Amador's profile →
Citations per field
00.5×9.5×
Catalina Amador · 1×
Citations per year

Countries citing papers authored by Mark Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201993
2 201824
3 202119
4 20226
5 20192
6 20202
7 20171
8 20241

About Mark Yan

Mark Yan is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 8 papers that have together received 148 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Histone Deacetylase Inhibitors Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Blood disorders and treatments (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Hematology (44 citations), Oncology (96 citations), Pathology and Forensic Medicine (60 citations), Genetics (25 citations) and Dermatology (16 citations). Mark Yan has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Hervé Tilly, Amitkumar Mehta, Andy I. Chen, Dan Lü, Franck Morschhauser, Jamie Hirata, Kathryn S. Kolibaba, Javier Muñoz, Gilles Salles and Corinne Haïoun. Their work appears in journals such as Blood, Leukemia, Blood Advances, The Lancet Oncology and Leukemia & lymphoma.

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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