Yanjun Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Thyroid Cancer Diagnosis and Treatment
Papers in ⓘ
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- Thyroid Cancer Diagnosis and Treatment 15
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Michael H. Nathanson (1 shared paper)Roland Baron (1 shared paper)Munmun Chakraborty (1 shared paper)Changli Wang (3 shared papers)Zhenfa Zhang (3 shared papers)Changli Wang (7 shared papers)Ruochuan Cheng (18 shared papers)Xiubao Ren (2 shared papers)
- Journals
- Oncotarget (4 papers)World Journal of Surgical Oncology (2 papers)Frontiers in Oncology (2 papers)Frontiers in Endocrinology (2 papers)Clinical Epigenetics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yanjun Su
49 papers receiving 634 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 201
- Endocrinology, Diabetes and Metabolism 90
- Anesthesiology and Pain Medicine 28
- Oncology 127
- Molecular Biology 288
Countries citing papers authored by Yanjun Su
This map shows the geographic impact of Yanjun Su'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 Yanjun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Su more than expected).
Fields of papers citing papers by Yanjun Su
This network shows the impact of papers produced by Yanjun Su. 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 Yanjun Su. The network helps show where Yanjun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun Su, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 70 | |
| 2 | 2018 | 51 | |
| 3 | 2016 | 47 | |
| 4 | 2016 | 47 | |
| 5 | 2011 | 43 | |
| 6 | 2007 | 39 | |
| 7 | 2017 | 37 | |
| 8 | 2012 | 33 | |
| 9 | 2019 | 33 | |
| 10 | 2009 | 30 | |
| 11 | 2018 | 27 | |
| 12 | 2015 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 1992 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2022 | 9 |
About Yanjun Su
Yanjun Su is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Nephrology, Oncology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 644 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Thyroid and Parathyroid Surgery (13 papers), Lung Cancer Diagnosis and Treatment (9 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Cancer Research (201 citations), Endocrinology, Diabetes and Metabolism (90 citations), Anesthesiology and Pain Medicine (28 citations), Oncology (127 citations) and Molecular Biology (288 citations). Yanjun Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Michael H. Nathanson, Roland Baron, Munmun Chakraborty, Changli Wang, Zhenfa Zhang, Changli Wang, Ruochuan Cheng, Xiubao Ren, Hua Zhao and Jianming Zhang. Their work appears in journals such as Oncotarget, World Journal of Surgical Oncology, Frontiers in Oncology, Frontiers in Endocrinology and Clinical Epigenetics.
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.