Jean Y. J. Wang

14.2k citations
127 papers · 11.6k indexed · 2 hit papers · h-index 56
  • Hematology top 0.2%
    • Chronic Myeloid Leukemia Treatments 45
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 40
    • DNA Repair Mechanisms 19
    • Protein Kinase Regulation and GTPase Signaling 14
    • Ubiquitin and proteasome pathways 14
    • Cell death mechanisms and regulation 12
    • Retinoids in leukemia and cellular processes 12
  • Genetics top 0.5%
    • Chronic Lymphocytic Leukemia Research 14
  • Cell Biology top 0.5%

Jean Y. J. Wang

127 papers receiving 11.5k citations

Hit Papers

The tyrosine kinase c-Abl regulates p73 in apoptotic resp...7851989202620012013250500750

Peers

Jean Y. J. Wang
Comparison fields: 5 of 129
  • Hematology 2.1k
  • Oncology 4.5k
  • Molecular Biology 8.3k
  • Genetics 1.1k
  • Cell Biology 1.4k
Replace John K. Cowell with:
John K. Cowell United States
Andrius Kazlauskas United States
James DeGregori United States
Per Guldberg Denmark
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Martin Eilers Germany
Menashe Bar‐Eli United States
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Klas G. Wiman Sweden
Jean Y. J. Wang relative to John K. Cowell United States John K. Cowell's profile →
Citations per field
00.5×3.6×
John K. Cowell · 1×
Citations per year

Countries citing papers authored by Jean Y. J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jean Y. J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Y. J. Wang. 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 Jean Y. J. Wang. The network helps show where Jean Y. J. Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2014139
2 20147
3 201320
4 201210
5 201135
6 201133
7 200721
8 2007117
9 200722
10 200432
11 200328
12 2001175
13 199858
14 199858
15 1996316
16 199576
17 1994181
18 199440
19 199145
20 198928

About Jean Y. J. Wang

Jean Y. J. Wang is a scholar working on Hematology, Oncology and Genetics, having authored 127 papers that have together received 11.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (45 papers), Cancer-related Molecular Pathways (40 papers), DNA Repair Mechanisms (19 papers), Chronic Lymphocytic Leukemia Research (14 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Ubiquitin and proteasome pathways (14 papers), Cell death mechanisms and regulation (12 papers) and Retinoids in leukemia and cellular processes (12 papers). The work is most often cited by research in Hematology (2.1k citations), Oncology (4.5k citations) and Molecular Biology (8.3k citations). Jean Y. J. Wang has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Erik S. Knudsen, Prem Puri, Peter Scully, Wen‐Hwa Lee, Phang‐Lang Chen, Jin‐Yuh Shew, Pamela J. Woodring, Paolo Vigneri, Massimo Levrero and Edward T. Kipreos. Their work appears in journals such as Nature, Science and Cell.

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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