Junhui Ma
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
-
- Protein Degradation and Inhibitors 7
- Ubiquitin and proteasome pathways 3
- Biochemical and Molecular Research 1
- Oncology 5
- Peptidase Inhibition and Analysis 5
- Lung Cancer Research Studies 2
- Co-authors
- Guoqiang Dong (4 shared papers)Chunquan Sheng (4 shared papers)Shipeng He (3 shared papers)Fei Gao (2 shared papers)Shanchao Wu (2 shared papers)Yuxin Fang (1 shared paper)Ying Liu (1 shared paper)Wei Wang (1 shared paper)
- Journals
- Advanced Healthcare Materials (1 paper)European Journal of Pharmaceutics and Biopharmaceutics (1 paper)Acta Pharmaceutica Sinica B (1 paper)Acta Biomaterialia (1 paper)Bioorganic Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junhui Ma
8 papers receiving 430 citations
Junhui Ma's Hit Papers
Peers
Comparison fields: 5 of 47
- Hematology 88
- Oncology 174
- Molecular Biology 392
- Physiology 9
- Geriatrics and Gerontology 5
Countries citing papers authored by Junhui Ma
This map shows the geographic impact of Junhui 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 Junhui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhui Ma more than expected).
Fields of papers citing papers by Junhui Ma
This network shows the impact of papers produced by Junhui 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 Junhui Ma. The network helps show where Junhui Ma may publish in the future.
Co-authors
The 21 scholars most cited alongside Junhui 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
| # | Work | ||
|---|---|---|---|
| 1 | Aptamer‐PROTAC Conjugates (APCs) for Tumor‐Specific Targeting in Breast Cancer Hit paper breakdown → | 2021 | 240 |
| 2 | 2020 | 70 | |
| 3 | 2022 | 57 | |
| 4 | 2021 | 19 | |
| 5 | 2024 | 19 | |
| 6 | 2025 | 12 | |
| 7 | 2025 | 8 | |
| 8 | 2024 | 7 |
About Junhui Ma
Junhui Ma is a scholar working on Molecular Biology, Oncology, Hematology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Peptidase Inhibition and Analysis (5 papers), Ubiquitin and proteasome pathways (3 papers), Multiple Myeloma Research and Treatments (3 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (1 paper), Autophagy in Disease and Therapy (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Hematology (88 citations), Oncology (174 citations), Molecular Biology (392 citations), Physiology (9 citations) and Geriatrics and Gerontology (5 citations). Junhui Ma has collaborated with scholars based in China and United States. Frequent co-authors include Guoqiang Dong, Chunquan Sheng, Shipeng He, Fei Gao, Shanchao Wu, Yuxin Fang, Ying Liu, Wei Wang, Guangya Xiang and Yu Ding. Their work appears in journals such as Advanced Healthcare Materials, European Journal of Pharmaceutics and Biopharmaceutics, Acta Pharmaceutica Sinica B, Acta Biomaterialia and Bioorganic Chemistry.
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.