Si‐Rui Ma
Impact in
- Physiology top 2%
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 20
- Cancer Cells and Metastasis 7
- Cancer Immunotherapy and Biomarkers 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Zhi‐Jun Sun (25 shared papers)Wen‐Feng Zhang (21 shared papers)Lin‐Lin Bu (21 shared papers)Guang‐Tao Yu (16 shared papers)Liang Mao (16 shared papers)Ashok B. Kulkarni (11 shared papers)Wei‐Wei Deng (10 shared papers)Cong‐Fa Huang (10 shared papers)
- Journals
- Oncotarget (5 papers)OncoImmunology (3 papers)International Journal of Cancer (3 papers)PLoS ONE (3 papers)Neuro-Oncology Advances (2 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Si‐Rui Ma
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Physiology 131
- Immunology 598
- Cancer Research 405
- Oncology 719
- Otorhinolaryngology 66
Countries citing papers authored by Si‐Rui Ma
This map shows the geographic impact of Si‐Rui 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 Si‐Rui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Rui Ma more than expected).
Fields of papers citing papers by Si‐Rui Ma
This network shows the impact of papers produced by Si‐Rui 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 Si‐Rui Ma. The network helps show where Si‐Rui Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Si‐Rui 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 294 | |
| 2 | 2017 | 145 | |
| 3 | 2014 | 145 | |
| 4 | 2016 | 131 | |
| 5 | 2016 | 83 | |
| 6 | 2017 | 70 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 63 | |
| 9 | 2013 | 55 | |
| 10 | 2018 | 55 | |
| 11 | 2015 | 53 | |
| 12 | 2017 | 49 | |
| 13 | 2016 | 48 | |
| 14 | 2020 | 45 | |
| 15 | 2015 | 43 | |
| 16 | 2015 | 40 | |
| 17 | 2016 | 37 | |
| 18 | 2018 | 37 | |
| 19 | 2018 | 36 | |
| 20 | 2017 | 35 |
About Si‐Rui Ma
Si‐Rui Ma is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cancer Research, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Immune cells in cancer (7 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Glioma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Oral and Maxillofacial Pathology (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Physiology (131 citations), Immunology (598 citations), Cancer Research (405 citations), Oncology (719 citations) and Otorhinolaryngology (66 citations). Si‐Rui Ma has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Zhi‐Jun Sun, Wen‐Feng Zhang, Lin‐Lin Bu, Guang‐Tao Yu, Liang Mao, Ashok B. Kulkarni, Wei‐Wei Deng, Cong‐Fa Huang, Jianfeng Liu and Zhili Zhao. Their work appears in journals such as Oncotarget, OncoImmunology, International Journal of Cancer, PLoS ONE and Neuro-Oncology Advances.
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.