Cunlin Wang
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Epidemiology top 10%
- Breastfeeding Practices and Influences
- HIV, Drug Use, Sexual Risk
Papers in
- Oncology 6
- Cancer Treatment and Pharmacology 2
- Lung Cancer Research Studies 2
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- HIV/AIDS Research and Interventions 4
- Co-authors
- Sara B. Fein (3 shared papers)Katherine R. Shealy (1 shared paper)Judith Labiner‐Wolfe (1 shared paper)David Vlahov (4 shared papers)Noya Galai (3 shared papers)Joseph Bareta (3 shared papers)Thomas P. Gross (3 shared papers)Federica Pisa (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (3 papers)JAMA Internal Medicine (2 papers)PEDIATRICS (2 papers)Journal of Human Lactation (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Cunlin Wang
25 papers receiving 847 citations
Peers
Comparison fields: 5 of 95
- Hematology 126
- Epidemiology 264
- Genetics 69
- Virology 28
- Nutrition and Dietetics 78
Countries citing papers authored by Cunlin Wang
This map shows the geographic impact of Cunlin Wang'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 Cunlin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunlin Wang more than expected).
Fields of papers citing papers by Cunlin Wang
This network shows the impact of papers produced by Cunlin Wang. 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 Cunlin Wang. The network helps show where Cunlin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cunlin Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 164 | |
| 2 | 2015 | 158 | |
| 3 | 2020 | 77 | |
| 4 | 2004 | 66 | |
| 5 | 2013 | 60 | |
| 6 | 2008 | 49 | |
| 7 | 2015 | 42 | |
| 8 | 2005 | 42 | |
| 9 | 2012 | 37 | |
| 10 | 2013 | 33 | |
| 11 | 2010 | 27 | |
| 12 | 2016 | 27 | |
| 13 | 2019 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2004 | 17 | |
| 16 | 2024 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2006 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Cunlin Wang
Cunlin Wang is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Epidemiology and Hematology, having authored 26 papers that have together received 879 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), HIV, Drug Use, Sexual Risk (3 papers), Cancer Treatment and Pharmacology (2 papers), Lung Cancer Research Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hematology (126 citations), Epidemiology (264 citations), Genetics (69 citations), Virology (28 citations) and Nutrition and Dietetics (78 citations). Cunlin Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Sara B. Fein, Katherine R. Shealy, Judith Labiner‐Wolfe, David Vlahov, Noya Galai, Joseph Bareta, Thomas P. Gross, Federica Pisa, Sengwee Toh and Kenrad E. Nelson. Their work appears in journals such as Journal of Clinical Oncology, Blood, JAMA Internal Medicine, PEDIATRICS and Journal of Human Lactation.
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.