Huihui Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 6
- Hematology 20
- Multiple Myeloma Research and Treatments 14
- Autoimmune and Inflammatory Disorders Research 4
- Co-authors
- Xueran Chen (9 shared papers)Zhiyou Fang (9 shared papers)Markus Y. Mapara (21 shared papers)Haoran Yang (6 shared papers)Suzanne Lentzsch (19 shared papers)Shangrong Zhang (4 shared papers)Chenggang Zhao (7 shared papers)Zhen Wang (1 shared paper)
- Journals
- Blood (8 papers)Journal of Clinical Investigation (4 papers)Frontiers in Endocrinology (4 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Huihui Ma
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 223
- Hematology 155
- Immunology 258
- Animal Science and Zoology 97
- Oncology 229
Countries citing papers authored by Huihui Ma
This map shows the geographic impact of Huihui 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 Huihui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huihui Ma more than expected).
Fields of papers citing papers by Huihui Ma
This network shows the impact of papers produced by Huihui 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 Huihui Ma. The network helps show where Huihui Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Huihui 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2019 | 65 | |
| 3 | 2011 | 57 | |
| 4 | 2019 | 56 | |
| 5 | 2016 | 52 | |
| 6 | 2018 | 50 | |
| 7 | 2019 | 47 | |
| 8 | 2016 | 45 | |
| 9 | 2008 | 44 | |
| 10 | 2017 | 41 | |
| 11 | 2021 | 37 | |
| 12 | 2012 | 35 | |
| 13 | 2022 | 32 | |
| 14 | 2020 | 31 | |
| 15 | 2009 | 30 | |
| 16 | 2021 | 29 | |
| 17 | 2020 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2019 | 25 | |
| 20 | 2022 | 21 |
About Huihui Ma
Huihui Ma is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Oncology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Immune Cell Function and Interaction (7 papers), Protein Degradation and Inhibitors (6 papers), T-cell and B-cell Immunology (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Glioma Diagnosis and Treatment (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cancer Research (223 citations), Hematology (155 citations), Immunology (258 citations), Animal Science and Zoology (97 citations) and Oncology (229 citations). Huihui Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Xueran Chen, Zhiyou Fang, Markus Y. Mapara, Haoran Yang, Suzanne Lentzsch, Shangrong Zhang, Chenggang Zhao, Zhen Wang, Zhiyang Zhao and Jing Fu. Their work appears in journals such as Blood, Journal of Clinical Investigation, Frontiers in Endocrinology, Scientific Reports and Nature Communications.
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.