Xin An
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- HER2/EGFR in Cancer Research
Papers in
- Oncology 44
- HER2/EGFR in Cancer Research 11
- Cancer Immunotherapy and Biomarkers 7
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- Gastric Cancer Management and Outcomes 7
- Ferroptosis and cancer prognosis 7
- Advanced Breast Cancer Therapies 7
- Co-authors
- Amit K. Tiwari (2 shared papers)Pei-Rong Ding (2 shared papers)Zhe‐Sheng Chen (2 shared papers)Hua Zhu (2 shared papers)Tao Tan (1 shared paper)Charles R. Ashby (1 shared paper)Yibo Sun (1 shared paper)Lina Yang (2 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Insect Science (3 papers)BMC Cancer (3 papers)npj Breast Cancer (3 papers)Cancer (3 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Xin An
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 452
- Oncology 689
- Nephrology 128
- Hematology 169
- Pulmonary and Respiratory Medicine 398
Countries citing papers authored by Xin An
This map shows the geographic impact of Xin 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 Xin An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin An more than expected).
Fields of papers citing papers by Xin An
This network shows the impact of papers produced by Xin 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 Xin An. The network helps show where Xin An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 232 | |
| 2 | 2016 | 163 | |
| 3 | 2020 | 149 | |
| 4 | 2020 | 105 | |
| 5 | 2016 | 103 | |
| 6 | 2011 | 76 | |
| 7 | 2018 | 65 | |
| 8 | 2019 | 62 | |
| 9 | 2018 | 60 | |
| 10 | 2012 | 59 | |
| 11 | 2019 | 48 | |
| 12 | 2013 | 46 | |
| 13 | 2019 | 44 | |
| 14 | 2019 | 43 | |
| 15 | 2018 | 40 | |
| 16 | 2016 | 38 | |
| 17 | 2013 | 34 | |
| 18 | 2021 | 33 | |
| 19 | 2012 | 33 | |
| 20 | 2022 | 32 |
About Xin An
Xin An is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Cancer Research, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), Breast Cancer Treatment Studies (9 papers), Bladder and Urothelial Cancer Treatments (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Gastric Cancer Management and Outcomes (7 papers), Ferroptosis and cancer prognosis (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Advanced Breast Cancer Therapies (7 papers). The work is most often cited by research in Cancer Research (452 citations), Oncology (689 citations), Nephrology (128 citations), Hematology (169 citations) and Pulmonary and Respiratory Medicine (398 citations). Xin An has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Amit K. Tiwari, Pei-Rong Ding, Zhe‐Sheng Chen, Hua Zhu, Tao Tan, Charles R. Ashby, Yibo Sun, Lina Yang, Jihua Chen and Yuan Cao. Their work appears in journals such as Journal of Clinical Oncology, Insect Science, BMC Cancer, npj Breast Cancer and Cancer.
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.