Wei An
Impact in
- Urology top 10%
- Urinary Bladder and Prostate Research
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Ubiquitin and proteasome pathways 4
- Surgery 8
- Co-authors
- Hamid Band (16 shared papers)Bhopal Mohapatra (12 shared papers)Vimla Band (9 shared papers)Neha Zutshi (9 shared papers)Benjamin T. Goetz (7 shared papers)Priyanka Arya (5 shared papers)Gulzar Ahmad (3 shared papers)Srikumar M. Raja (2 shared papers)
- Journals
- Oncotarget (3 papers)Journal of Biological Chemistry (2 papers)Advances in Clinical and Experimental Medicine (1 paper)Nature Communications (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei An
32 papers receiving 620 citations
Peers
Comparison fields: 5 of 93
- Urology 53
- Hematology 81
- Genetics 59
- Molecular Biology 304
- Rheumatology 57
Countries citing papers authored by Wei An
This map shows the geographic impact of Wei An'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 Wei An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei An more than expected).
Fields of papers citing papers by Wei An
This network shows the impact of papers produced by Wei An. 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 Wei An. The network helps show where Wei An may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei An, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 171 | |
| 2 | 2014 | 50 | |
| 3 | 2017 | 46 | |
| 4 | 2014 | 40 | |
| 5 | 2004 | 38 | |
| 6 | 2009 | 38 | |
| 7 | 2018 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 19 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2014 | 5 |
About Wei An
Wei An is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 628 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Ubiquitin and proteasome pathways (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer Cells and Metastasis (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Urology (53 citations), Hematology (81 citations), Genetics (59 citations), Molecular Biology (304 citations) and Rheumatology (57 citations). Wei An has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hamid Band, Bhopal Mohapatra, Vimla Band, Neha Zutshi, Benjamin T. Goetz, Priyanka Arya, Gulzar Ahmad, Srikumar M. Raja, Dan Feng and Nicholas Y. Palermo. Their work appears in journals such as Oncotarget, Journal of Biological Chemistry, Advances in Clinical and Experimental Medicine, Nature Communications and Journal of Proteome Research.
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.