Long Wang
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 8
- TGF-β signaling in diseases 6
- Cancer-related gene regulation 5
- Bone Metabolism and Diseases 4
- Oncology 20
- Peptidase Inhibition and Analysis 5
- Cancer-related Molecular Pathways 4
- Co-authors
- Lu‐Zhe Sun (10 shared papers)Abhik Bandyopadhyay (9 shared papers)Joseph K. Agyin (4 shared papers)Yuping Tang (4 shared papers)Dachuan Jin (1 shared paper)I‐Tien Yeh (4 shared papers)Bin Zhang (1 shared paper)Benjamin J. Daniel (1 shared paper)
- Journals
- Cancer Research (5 papers)Medicine (3 papers)Journal of Clinical Oncology (3 papers)Blood (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Long Wang
96 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 112
- Physiology 238
- Oncology 687
- Cancer Research 263
- Molecular Biology 1.2k
- Immunology 345
Countries citing papers authored by Long Wang
This map shows the geographic impact of Long 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 Long Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wang more than expected).
Fields of papers citing papers by Long Wang
This network shows the impact of papers produced by Long 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 Long Wang. The network helps show where Long Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 358 | |
| 2 | 2001 | 180 | |
| 3 | 2010 | 179 | |
| 4 | 2006 | 169 | |
| 5 | 2004 | 143 | |
| 6 | 2006 | 88 | |
| 7 | 2008 | 87 | |
| 8 | 2019 | 69 | |
| 9 | 2009 | 65 | |
| 10 | 2004 | 61 | |
| 11 | 2013 | 61 | |
| 12 | 2015 | 52 | |
| 13 | 2014 | 42 | |
| 14 | 2019 | 41 | |
| 15 | 2012 | 38 | |
| 16 | 2014 | 38 | |
| 17 | 2015 | 38 | |
| 18 | 2024 | 34 | |
| 19 | 2018 | 34 | |
| 20 | 2018 | 34 |
About Long Wang
Long Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Pulmonary and Respiratory Medicine, having authored 105 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), TGF-β signaling in diseases (6 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers), Peptidase Inhibition and Analysis (5 papers), Bone Metabolism and Diseases (4 papers), Cancer-related Molecular Pathways (4 papers) and Vasculitis and related conditions (3 papers). The work is most often cited by research in Physiology (238 citations), Oncology (687 citations), Cancer Research (263 citations), Molecular Biology (1.2k citations) and Immunology (345 citations). Long Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lu‐Zhe Sun, Abhik Bandyopadhyay, Joseph K. Agyin, Yuping Tang, Dachuan Jin, I‐Tien Yeh, Bin Zhang, Benjamin J. Daniel, Tyler J. Curiel and Linda F. Thompson. Their work appears in journals such as Cancer Research, Medicine, Journal of Clinical Oncology, Blood and Advanced Science.
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.