Ben Ma
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Thyroid Cancer Diagnosis and Treatment 28
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- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 3
- Co-authors
- Shuwen Yang (10 shared papers)Tian Liao (28 shared papers)Qinghai Ji (15 shared papers)Qinghai Ji (23 shared papers)Yu Wang (17 shared papers)Zhong‐Wu Lu (18 shared papers)Ning Qu (18 shared papers)Wenjun Wei (23 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Cancer Medicine (4 papers)Journal of Cancer (3 papers)OncoTargets and Therapy (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ben Ma
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 468
- Cancer Research 216
- Oncology 235
- Immunology 165
- Anesthesiology and Pain Medicine 28
Countries citing papers authored by Ben Ma
This map shows the geographic impact of Ben Ma'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 Ben Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Ma more than expected).
Fields of papers citing papers by Ben Ma
This network shows the impact of papers produced by Ben Ma. 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 Ben Ma. The network helps show where Ben Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Ma, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 196 | |
| 2 | 2017 | 108 | |
| 3 | 2016 | 71 | |
| 4 | 2016 | 69 | |
| 5 | 2020 | 65 | |
| 6 | 2018 | 53 | |
| 7 | 2014 | 49 | |
| 8 | 2021 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 40 | |
| 12 | 2018 | 36 | |
| 13 | 2020 | 36 | |
| 14 | 2019 | 35 | |
| 15 | 2019 | 34 | |
| 16 | 2016 | 28 | |
| 17 | 2013 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2018 | 26 | |
| 20 | 2012 | 24 |
About Ben Ma
Ben Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cancer Research and Oncology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (28 papers), Thyroid and Parathyroid Surgery (6 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Bioinformatics and Genomic Networks (3 papers) and Head and Neck Anomalies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (468 citations), Cancer Research (216 citations), Oncology (235 citations), Immunology (165 citations) and Anesthesiology and Pain Medicine (28 citations). Ben Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shuwen Yang, Tian Liao, Qinghai Ji, Qinghai Ji, Yu Wang, Zhong‐Wu Lu, Ning Qu, Wenjun Wei, Yulong Wang and Duo Wen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Medicine, Journal of Cancer, OncoTargets and Therapy and Frontiers in Oncology.
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.