Andrew J. Yee

6.2k citations
127 papers · 2.3k indexed · h-index 26
  • Hematology top 1%
    • Multiple Myeloma Research and Treatments 89
  • Oncology top 2%
    • CAR-T cell therapy research 18
    • Peptidase Inhibition and Analysis 17
    • Bone health and treatments 13
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 10
    • Protein Degradation and Inhibitors 36
    • Histone Deacetylase Inhibitors Research 11
    • Amyloidosis: Diagnosis, Treatment, Outcomes 11

Andrew J. Yee

118 papers receiving 2.3k citations

Peers

Andrew J. Yee
Comparison fields: 5 of 110
  • Hematology 1.0k
  • Oncology 1.1k
  • Genetics 250
  • Molecular Biology 1.4k
  • Pathology and Forensic Medicine 234
Replace Giada Bianchi with:
Giada Bianchi United States
Ali G. Turhan France
Eyal C. Attar United States
Michael J. Thirman United States
Niklas Zojer Austria
Richard LeBlanc Canada
Akil Merchant United States
Kimberly Straley United States
Véronique Mansat‐De Mas France
Vittorio Perfetti Italy
Andrew J. Yee relative to Giada Bianchi United States Giada Bianchi's profile →
Citations per field
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Giada Bianchi · 1×
Citations per year

Countries citing papers authored by Andrew J. Yee

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Yee. 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 Andrew J. Yee. The network helps show where Andrew J. Yee may publish in the future.

Co-authorship network

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

All Works

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About Andrew J. Yee

Andrew J. Yee is a scholar working on Hematology, Oncology and Genetics, having authored 127 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (89 papers), Protein Degradation and Inhibitors (36 papers), CAR-T cell therapy research (18 papers), Peptidase Inhibition and Analysis (17 papers), Bone health and treatments (13 papers), Histone Deacetylase Inhibitors Research (11 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers) and Chronic Lymphocytic Leukemia Research (10 papers). The work is most often cited by research in Hematology (1.0k citations), Oncology (1.1k citations) and Genetics (250 citations). Andrew J. Yee has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Noopur Raje, Elizabeth O’Donnell, Paul G. Richardson, Cristina Panaroni, Homare Eda, Jill N. Burke, Jacob P. Laubach, Simon S. Jones, Matthew J. Frigault and Diana Cirstea. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

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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