Yiwei Ling
Impact in
- Nutrition and Dietetics top 10%
- Infant Nutrition and Health
-
- Colorectal Cancer Treatments and Studies
Papers in
-
- Gut microbiota and health 4
- Oncology 11
- Colorectal Cancer Treatments and Studies 4
- Colorectal Cancer Surgical Treatments 3
- Co-authors
- Shujiro Okuda (34 shared papers)Toshifumi Wakai (18 shared papers)Yoshifumi Shimada (14 shared papers)Hiroshi Ichikawa (13 shared papers)Masayuki Nagahashi (10 shared papers)Yosuke Tajima (8 shared papers)Shin Kurihara (2 shared papers)Ayako Katayama-Ikegami (1 shared paper)
- Journals
- Scientific Reports (4 papers)Computational and Structural Biotechnology Journal (3 papers)ChemNanoMat (1 paper)Molecular and Cellular Biology (1 paper)ChemBioChem (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yiwei Ling
45 papers receiving 597 citations
Peers
Comparison fields: 5 of 100
- Nutrition and Dietetics 91
- Oncology 100
- Molecular Biology 227
- Food Science 61
- Cancer Research 40
Countries citing papers authored by Yiwei Ling
This map shows the geographic impact of Yiwei Ling'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 Yiwei Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Ling more than expected).
Fields of papers citing papers by Yiwei Ling
This network shows the impact of papers produced by Yiwei Ling. 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 Yiwei Ling. The network helps show where Yiwei Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei Ling, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2021 | 50 | |
| 3 | 2021 | 39 | |
| 4 | 2019 | 35 | |
| 5 | 2021 | 30 | |
| 6 | 2017 | 24 | |
| 7 | 2013 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2011 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2014 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2011 | 12 | |
| 20 | 2018 | 8 |
About Yiwei Ling
Yiwei Ling is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 608 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Gut microbiota and health (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Nutrition and Dietetics (91 citations), Oncology (100 citations), Molecular Biology (227 citations), Food Science (61 citations) and Cancer Research (40 citations). Yiwei Ling has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shujiro Okuda, Toshifumi Wakai, Yoshifumi Shimada, Hiroshi Ichikawa, Masayuki Nagahashi, Yosuke Tajima, Shin Kurihara, Ayako Katayama-Ikegami, Chihaya Yamada and Motomitsu Kitaoka. Their work appears in journals such as Scientific Reports, Computational and Structural Biotechnology Journal, ChemNanoMat, Molecular and Cellular Biology and ChemBioChem.
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.