Xiaolin Wan
Impact in
-
- Sarcoma Diagnosis and Treatment
- Veterinary Oncology Research
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Mechanisms of cancer metastasis
Papers in
-
- Sarcoma Diagnosis and Treatment 10
-
- Growth Hormone and Insulin-like Growth Factors 5
- Co-authors
- Lee J. Helman (17 shared papers)Chand Khanna (5 shared papers)Arnulfo Mendoza (6 shared papers)Patrick Joseph Grohar (2 shared papers)Choh L. Yeung (7 shared papers)Stephen M. Hewitt (2 shared papers)Ryan Daniel Cassaday (1 shared paper)Osarenoma U. Olomu (1 shared paper)
- Journals
- Cancer Research (5 papers)Oncogene (5 papers)Neoplasia (3 papers)Clinical Cancer Research (1 paper)The Oncologist (1 paper)
- Partner nations
- United States
In The Last Decade
Xiaolin Wan
22 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 854
- Molecular Biology 950
- Cancer Research 177
- Oncology 264
- Cell Biology 135
Countries citing papers authored by Xiaolin Wan
This map shows the geographic impact of Xiaolin Wan'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 Xiaolin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wan more than expected).
Fields of papers citing papers by Xiaolin Wan
This network shows the impact of papers produced by Xiaolin Wan. 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 Xiaolin Wan. The network helps show where Xiaolin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Wan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 669 | |
| 2 | 2004 | 605 | |
| 3 | 2007 | 218 | |
| 4 | 2005 | 176 | |
| 5 | 2007 | 149 | |
| 6 | 2006 | 131 | |
| 7 | 2008 | 131 | |
| 8 | 2003 | 99 | |
| 9 | 2009 | 63 | |
| 10 | 2015 | 45 | |
| 11 | 2002 | 44 | |
| 12 | 2012 | 42 | |
| 13 | 2013 | 40 | |
| 14 | 2022 | 32 | |
| 15 | 2009 | 19 | |
| 16 | Synthetic retinoid CD437 induces apoptosis of esophageal squamous HET-1A cells through the caspase-3-dependent pathway. | 2001 | 16 |
| 17 | 2020 | 15 | |
| 18 | 2022 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2001 | 8 |
About Xiaolin Wan
Xiaolin Wan is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology and Oncology, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (10 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Microtubule and mitosis dynamics (2 papers), Cell death mechanisms and regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (854 citations), Molecular Biology (950 citations), Cancer Research (177 citations), Oncology (264 citations) and Cell Biology (135 citations). Xiaolin Wan has collaborated with scholars based in United States. Frequent co-authors include Lee J. Helman, Chand Khanna, Arnulfo Mendoza, Patrick Joseph Grohar, Choh L. Yeung, Stephen M. Hewitt, Ryan Daniel Cassaday, Osarenoma U. Olomu, Richard Greg Gorlick and Na Shen. Their work appears in journals such as Cancer Research, Oncogene, Neoplasia, Clinical Cancer Research and The Oncologist.
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.