Ming Zhang
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Inflammatory Biomarkers in Disease Prognosis
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
Papers in
- Co-authors
- Lei Tao (33 shared papers)Liang Zhou (32 shared papers)Khashayarsha Khazaie (2 shared papers)Chi‐Yao Hsueh (22 shared papers)Yihui Shi (2 shared papers)Hongli Gong (20 shared papers)John Karavitis (1 shared paper)Laura M. Hix (1 shared paper)
- Journals
- Acta Oto-Laryngologica (6 papers)Journal of Cancer Research and Clinical Oncology (4 papers)The Laryngoscope (4 papers)European Archives of Oto-Rhino-Laryngology (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesOman
In The Last Decade
Ming Zhang
162 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Oncology 1.0k
- Otorhinolaryngology 161
- Cancer Research 347
- Immunology 399
- Pulmonary and Respiratory Medicine 394
Countries citing papers authored by Ming Zhang
This map shows the geographic impact of Ming Zhang'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 Ming Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhang more than expected).
Fields of papers citing papers by Ming Zhang
This network shows the impact of papers produced by Ming Zhang. 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 Ming Zhang. The network helps show where Ming Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Zhang, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 111 | |
| 2 | 2017 | 83 | |
| 3 | 2013 | 80 | |
| 4 | 2017 | 79 | |
| 5 | 2009 | 78 | |
| 6 | 2020 | 78 | |
| 7 | 2018 | 76 | |
| 8 | 2015 | 75 | |
| 9 | 2018 | 74 | |
| 10 | 2010 | 71 | |
| 11 | 2018 | 71 | |
| 12 | 2016 | 68 | |
| 13 | 2019 | 67 | |
| 14 | 2017 | 65 | |
| 15 | 1998 | 59 | |
| 16 | 2011 | 52 | |
| 17 | 1999 | 49 | |
| 18 | 2015 | 44 | |
| 19 | 2022 | 42 | |
| 20 | 2010 | 38 |
About Ming Zhang
Ming Zhang is a scholar working on Oncology, Surgery, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 168 papers that have together received 2.8k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (29 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers), Cancer Cells and Metastasis (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Oncology (1.0k citations), Otorhinolaryngology (161 citations), Cancer Research (347 citations), Immunology (399 citations) and Pulmonary and Respiratory Medicine (394 citations). Ming Zhang has collaborated with scholars based in China, United States and Oman. Frequent co-authors include Lei Tao, Liang Zhou, Khashayarsha Khazaie, Chi‐Yao Hsueh, Yihui Shi, Hongli Gong, John Karavitis, Laura M. Hix, Yingwei Xue and Hongyu Gao. Their work appears in journals such as Acta Oto-Laryngologica, Journal of Cancer Research and Clinical Oncology, The Laryngoscope, European Archives of Oto-Rhino-Laryngology and Oncotarget.
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.