Huihui Ma
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 3
- Hematology 19
- Multiple Myeloma Research and Treatments 14
- Co-authors
- Zhiyou Fang (9 shared papers)Xueran Chen (9 shared papers)Markus Y. Mapara (21 shared papers)Haoran Yang (6 shared papers)Shangrong Zhang (4 shared papers)Suzanne Lentzsch (19 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)International Journal of Molecular Medicine (2 papers)World Journal of Pediatrics (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Huihui Ma
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 191
- Hematology 143
- Immunology 247
- Animal Science and Zoology 98
- Physiology 36
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 | 96 | |
| 2 | 2019 | 66 | |
| 3 | 2011 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2016 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2016 | 47 | |
| 8 | 2019 | 47 | |
| 9 | 2008 | 44 | |
| 10 | 2017 | 41 | |
| 11 | 2021 | 40 | |
| 12 | 2012 | 36 | |
| 13 | 2022 | 36 | |
| 14 | 2020 | 32 | |
| 15 | 2021 | 30 | |
| 16 | 2009 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2019 | 25 | |
| 20 | 2022 | 23 |
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), Protein Degradation and Inhibitors (6 papers), Immune Cell Function and Interaction (5 papers), Peptidase Inhibition and Analysis (4 papers), T-cell and B-cell Immunology (4 papers), Ubiquitin and proteasome pathways (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (191 citations), Hematology (143 citations), Immunology (247 citations), Animal Science and Zoology (98 citations) and Physiology (36 citations). Huihui Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhiyou Fang, Xueran Chen, Markus Y. Mapara, Haoran Yang, Shangrong Zhang, Suzanne Lentzsch, Chenggang Zhao, Zhen Wang, Jing Fu and Wenjia Li. Their work appears in journals such as Blood, Journal of Clinical Investigation, Frontiers in Endocrinology, International Journal of Molecular Medicine and World Journal of Pediatrics.
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.