Minwei Ye

1.4k citations
21 papers · 1.1k · h-index 14

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cytokine Signaling Pathways and Interactions 12
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 8

Minwei Ye

21 papers receiving 1.1k citations

Peers

Minwei Ye
Comparison fields: 5 of 77
  • Genetics 245
  • Oncology 561
  • Hematology 139
  • Physiology 54
  • Immunology 192
Replace Rohan V. Mendonca with:
Rohan V. Mendonca United States
Wei Wei Prior United States
Stephanos Ioannidis United States
Timothy C. Hancox United Kingdom
Claire Crafter United Kingdom
Nanni H. Huser United States
Jason Oeh United States
Frédéric Stauffer Switzerland
Daniel Iglesias‐Serret Spain
Alan T. Henley United Kingdom
Minwei Ye relative to Rohan V. Mendonca United States Rohan V. Mendonca's profile →
Citations per field
00.5×2×3×
Rohan V. Mendonca · 1×
Citations per year

Countries citing papers authored by Minwei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Minwei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009465
2 2010111
3 202088
4 200888
5 201882
6 201354
7 202048
8 201329
9 200926
10 201822
11 201520
12 201318
13 200816
14 202516
15 202312
16 20168
17 20196
18 20185
19 20202
20 20071

About Minwei Ye

Minwei Ye is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Immunology and Hematology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Cancer Mechanisms and Therapy (5 papers), Immune Cell Function and Interaction (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Genetics (245 citations), Oncology (561 citations), Hematology (139 citations), Physiology (54 citations) and Immunology (192 citations). Minwei Ye has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Geraldine A. Bebernitz, Stephanos Ioannidis, Michael J. Zinda, Dennis Huszar, Audrey M. Davies, Jiaquan Wu, Julie M. Parmentier, Joseph M. Gozgit, Marat B. Alimzhanov and Nancy Su. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Blood, Algorithmica and Journal of Biological Chemistry.

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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