James Liang
Impact in
-
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Genetics 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Chronic Lymphocytic Leukemia Research 2
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- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Jonathan B. Rothbard (2 shared papers)Jeremy Nayagam (1 shared paper)Kwok M. Ho (1 shared paper)Anand M. Gautam (1 shared paper)Lars Fugger (1 shared paper)Hugh O. McDevitt (1 shared paper)Dongfang Liu (2 shared papers)Kate J. Wilson (1 shared paper)
- Journals
- Blood (3 papers)Western Journal of Emergency Medicine (2 papers)British Journal of Haematology (1 paper)IEEE Transactions on Image Processing (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- United StatesAustraliaNew Zealand
In The Last Decade
James Liang
19 papers receiving 360 citations
Peers
Comparison fields: 5 of 86
- Immunology 110
- Genetics 36
- Hematology 37
- Radiology, Nuclear Medicine and Imaging 58
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by James Liang
This map shows the geographic impact of James Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Liang more than expected).
Fields of papers citing papers by James Liang
This network shows the impact of papers produced by James Liang. 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 Liang. The network helps show where James Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside James Liang, 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 | 1995 | 64 | |
| 2 | 1996 | 58 | |
| 3 | 2023 | 50 | |
| 4 | 2010 | 41 | |
| 5 | 2004 | 38 | |
| 6 | 2007 | 25 | |
| 7 | 2017 | 20 | |
| 8 | 2019 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2015 | 10 | |
| 12 | 2018 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2013 | 0 |
About James Liang
James Liang is a scholar working on Genetics, Hematology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Kruppel-like factors research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Pneumothorax, Barotrauma, Emphysema (2 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (110 citations), Genetics (36 citations), Hematology (37 citations), Radiology, Nuclear Medicine and Imaging (58 citations) and Computer Vision and Pattern Recognition (46 citations). James Liang has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Jonathan B. Rothbard, Jeremy Nayagam, Kwok M. Ho, Anand M. Gautam, Lars Fugger, Hugh O. McDevitt, Dongfang Liu, Kate J. Wilson, K. Wayne Marshall and Dennis M. Zaller. Their work appears in journals such as Blood, Western Journal of Emergency Medicine, British Journal of Haematology, IEEE Transactions on Image Processing and Computer Methods and Programs in Biomedicine.
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.