James Q. Wang
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 6
- Immunodeficiency and Autoimmune Disorders 3
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- interferon and immune responses 1
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Keisuke HorikawaYogesh JeelallGeorge W. WrightJames D. PhelanRyan D. MorinAlexander BagaevNikita KotlovJeffrey Tang
- Journals
- The Journal of Experimental Medicine (3 papers)Blood (1 paper)iScience (1 paper)Frontiers in Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
James Q. Wang
11 papers receiving 898 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Pathology and Forensic Medicine 579
- Genetics 273
- Oncology 392
- Immunology 288
- Cancer Research 149
Countries citing papers authored by James Q. Wang
This map shows the geographic impact of James Q. 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 James Q. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Q. Wang more than expected).
Fields of papers citing papers by James Q. Wang
This network shows the impact of papers produced by James Q. 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 James Q. Wang. The network helps show where James Q. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside James Q. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 23 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 13 | |
| 6 | A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications Hit paper breakdown → | 2020 | 583 |
| 7 | 2017 | 24 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 132 | |
| 11 | 2014 | 64 | |
| 12 | 2012 | 31 |
About James Q. Wang
James Q. Wang is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Nephrology and Cancer Research, having authored 12 papers that have together received 904 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (2 papers), interferon and immune responses (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (579 citations), Genetics (273 citations), Oncology (392 citations), Immunology (288 citations) and Cancer Research (149 citations). James Q. Wang has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Keisuke Horikawa, Yogesh Jeelall, George W. Wright, James D. Phelan, Ryan D. Morin, Alexander Bagaev, Nikita Kotlov, Jeffrey Tang, Ryan M. Young and Calvin A. Johnson. Their work appears in journals such as The Journal of Experimental Medicine, Blood, iScience, Frontiers in Immunology and Cell Reports.
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.