Donglin Yan
Impact in
-
- Breast Cancer Treatment Studies
- Cancer, Hypoxia, and Metabolism
- Analytical Chemistry top 10%
- Dye analysis and toxicity
Papers in
- Oncology 15
- Lung Cancer Research Studies 5
- PARP inhibition in cancer therapy 4
- Peptidase Inhibition and Analysis 3
-
- Cancer therapeutics and mechanisms 4
- Co-authors
- Lingling Jiang (1 shared paper)Kang Li (1 shared paper)Lan Ma (1 shared paper)Lizhe Xie (1 shared paper)Mifang Yang (1 shared paper)Zin Myint (13 shared papers)Jianwei Zhou (3 shared papers)D. Otto (5 shared papers)
- Journals
- Journal of Clinical Oncology (13 papers)Cancers (3 papers)Cancer Research (2 papers)Journal of Biopharmaceutical Statistics (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Donglin Yan
39 papers receiving 337 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 56
- Analytical Chemistry 39
- Oncology 51
- Radiation 17
- Issues, ethics and legal aspects 2
Countries citing papers authored by Donglin Yan
This map shows the geographic impact of Donglin Yan'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 Donglin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donglin Yan more than expected).
Fields of papers citing papers by Donglin Yan
This network shows the impact of papers produced by Donglin Yan. 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 Donglin Yan. The network helps show where Donglin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Donglin Yan, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2000 | 33 | |
| 3 | 2020 | 32 | |
| 4 | 2017 | 29 | |
| 5 | 2018 | 25 | |
| 6 | 2017 | 25 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Donglin Yan
Donglin Yan is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 42 papers that have together received 338 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (5 papers), Prostate Cancer Treatment and Research (5 papers), PARP inhibition in cancer therapy (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Cancer therapeutics and mechanisms (4 papers), Cannabis and Cannabinoid Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cancer Research (56 citations), Analytical Chemistry (39 citations), Oncology (51 citations), Radiation (17 citations) and Issues, ethics and legal aspects (2 citations). Donglin Yan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lingling Jiang, Kang Li, Lan Ma, Lizhe Xie, Mifang Yang, Zin Myint, Jianwei Zhou, D. Otto, Jill Kolesar and Aiping Li. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Cancer Research, Journal of Biopharmaceutical Statistics and International Journal of Radiation Oncology*Biology*Physics.
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.