Aixiang Jiang
Impact in
-
- Lymphoma Diagnosis and Treatment
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
Papers in
- Oncology 19
- CAR-T cell therapy research 6
- Peptidase Inhibition and Analysis 4
- Viral-associated cancers and disorders 4
-
- Angiogenesis and VEGF in Cancer 5
- Co-authors
- Yu Shyr (12 shared papers)Duanqing Pei (5 shared papers)David W. Scott (16 shared papers)M. Kay Washington (4 shared papers)Ryan D. Morin (6 shared papers)Jeffrey Tang (3 shared papers)Xing Wang (2 shared papers)Kaisa Lehti (1 shared paper)
- Journals
- Blood (12 papers)PLoS ONE (5 papers)Blood Advances (4 papers)Proceedings of the National Academy of Sciences (3 papers)The FASEB Journal (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Aixiang Jiang
43 papers receiving 2.8k citations
Aixiang Jiang's Hit Papers
Peers
Comparison fields: 5 of 109
- Pathology and Forensic Medicine 829
- Cancer Research 627
- Oncology 1.0k
- Genetics 353
- Immunology and Allergy 124
Countries citing papers authored by Aixiang Jiang
This map shows the geographic impact of Aixiang Jiang'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 Aixiang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aixiang Jiang more than expected).
Fields of papers citing papers by Aixiang Jiang
This network shows the impact of papers produced by Aixiang Jiang. 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 Aixiang Jiang. The network helps show where Aixiang Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aixiang Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications Hit paper breakdown → | 2020 | 616 |
| 2 | Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Patients With Colon Cancer Hit paper breakdown → | 2009 | 575 |
| 3 | 2011 | 246 | |
| 4 | 2001 | 218 | |
| 5 | 2018 | 149 | |
| 6 | 2011 | 113 | |
| 7 | 2011 | 108 | |
| 8 | 2019 | 79 | |
| 9 | 1998 | 70 | |
| 10 | 2014 | 54 | |
| 11 | 2010 | 51 | |
| 12 | 2012 | 47 | |
| 13 | 2000 | 43 | |
| 14 | 2007 | 41 | |
| 15 | 2010 | 37 | |
| 16 | 2010 | 36 | |
| 17 | 2008 | 35 | |
| 18 | 2003 | 34 | |
| 19 | 2011 | 31 | |
| 20 | 2011 | 30 |
About Aixiang Jiang
Aixiang Jiang is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Immunology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), CAR-T cell therapy research (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Peptidase Inhibition and Analysis (4 papers), Viral-associated cancers and disorders (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (829 citations), Cancer Research (627 citations), Oncology (1.0k citations), Genetics (353 citations) and Immunology and Allergy (124 citations). Aixiang Jiang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Yu Shyr, Duanqing Pei, David W. Scott, M. Kay Washington, Ryan D. Morin, Jeffrey Tang, Xing Wang, Kaisa Lehti, Jorma Keski‐Oja and Stephen J. Weiss. Their work appears in journals such as Blood, PLoS ONE, Blood Advances, Proceedings of the National Academy of Sciences and The FASEB Journal.
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.