Jun Yu
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Gastroenterology top 5%
- Gastroesophageal reflux and treatments
Papers in
- Oncology 17
- Pancreatic and Hepatic Oncology Research 7
- Drug Transport and Resistance Mechanisms 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Peng Zhou (9 shared papers)Hanna Cho (5 shared papers)Wei Wei (8 shared papers)Fievos L. Christofi (5 shared papers)Helen J. Cooke (5 shared papers)Jacqueline E. Wunderlich (4 shared papers)Jorge E. Guzman (3 shared papers)Kouhei Nakata (1 shared paper)
- Journals
- Gastroenterology (7 papers)The Journal of Comparative Neurology (2 papers)Toxicology and Applied Pharmacology (2 papers)Inflammopharmacology (2 papers)Animals (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Yu
48 papers receiving 980 citations
Peers
Comparison fields: 5 of 115
- Physiology 143
- Gastroenterology 76
- Cancer Research 162
- Complementary and alternative medicine 63
- Pharmacology 55
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2018 | 75 | |
| 3 | 2006 | 68 | |
| 4 | 2016 | 65 | |
| 5 | 2016 | 54 | |
| 6 | 2021 | 50 | |
| 7 | 2003 | 49 | |
| 8 | 2003 | 47 | |
| 9 | 2003 | 44 | |
| 10 | 2018 | 41 | |
| 11 | 2014 | 34 | |
| 12 | 2014 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2015 | 31 | |
| 15 | 2020 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2014 | 22 | |
| 18 | 2009 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2022 | 15 |
About Jun Yu
Jun Yu is a scholar working on Oncology, Molecular Biology, Cancer Research, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 51 papers that have together received 995 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Adenosine and Purinergic Signaling (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Advanced MEMS and NEMS Technologies (5 papers), MicroRNA in disease regulation (5 papers), Mechanical and Optical Resonators (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Physiology (143 citations), Gastroenterology (76 citations), Cancer Research (162 citations), Complementary and alternative medicine (63 citations) and Pharmacology (55 citations). Jun Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Zhou, Hanna Cho, Wei Wei, Fievos L. Christofi, Helen J. Cooke, Jacqueline E. Wunderlich, Jorge E. Guzman, Kouhei Nakata, Hayato Fujita and Masao Tanaka. Their work appears in journals such as Gastroenterology, The Journal of Comparative Neurology, Toxicology and Applied Pharmacology, Inflammopharmacology and Animals.
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.