Jason Jiang
Impact in
- Issues, ethics and legal aspects top 10%
- Genetics top 10%
- Genetic and Kidney Cyst Diseases
- Chronic Lymphocytic Leukemia Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 7
- Receptor Mechanisms and Signaling 4
-
- Chronic Disease Management Strategies 4
- Co-authors
- Aldebaran M. Hofer (5 shared papers)Silvana Curci (4 shared papers)Hude Quan (7 shared papers)Joanne Lager (4 shared papers)Cynthia A Beck (2 shared papers)Howard A. Burris (3 shared papers)Pau Abrisqueta (2 shared papers)Diane Lorenzetti (1 shared paper)
- Journals
- The Oncologist (3 papers)International Journal of Molecular Sciences (2 papers)CMAJ Open (2 papers)Breast Cancer Research and Treatment (2 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jason Jiang
27 papers receiving 578 citations
Peers
Comparison fields: 5 of 105
- Issues, ethics and legal aspects 11
- Genetics 84
- Health Information Management 29
- Pathology and Forensic Medicine 85
- Molecular Biology 311
Countries citing papers authored by Jason Jiang
This map shows the geographic impact of Jason 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 Jason Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Jiang more than expected).
Fields of papers citing papers by Jason Jiang
This network shows the impact of papers produced by Jason 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 Jason Jiang. The network helps show where Jason Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2019 | 62 | |
| 3 | 2018 | 55 | |
| 4 | 2014 | 49 | |
| 5 | 2015 | 45 | |
| 6 | 2015 | 30 | |
| 7 | 2015 | 30 | |
| 8 | 2014 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2013 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 10 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2017 | 8 |
About Jason Jiang
Jason Jiang is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 29 papers that have together received 581 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Genetic and Kidney Cyst Diseases (4 papers), Receptor Mechanisms and Signaling (4 papers), Advanced Breast Cancer Therapies (4 papers), Chronic Disease Management Strategies (4 papers), Cancer Treatment and Pharmacology (3 papers), Medical Coding and Health Information (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Issues, ethics and legal aspects (11 citations), Genetics (84 citations), Health Information Management (29 citations), Pathology and Forensic Medicine (85 citations) and Molecular Biology (311 citations). Jason Jiang has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Aldebaran M. Hofer, Silvana Curci, Hude Quan, Joanne Lager, Cynthia A Beck, Howard A. Burris, Pau Abrisqueta, Diane Lorenzetti, Deirdre Hennessy and Kelsey Lucyk. Their work appears in journals such as The Oncologist, International Journal of Molecular Sciences, CMAJ Open, Breast Cancer Research and Treatment 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.