Han Ma
Impact in
- Molecular Biology top 5%
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Genetics top 2%
- Estrogen and related hormone effects
Papers in
-
- Cancer-related gene regulation 7
- Epigenetics and DNA Methylation 5
- Retinoids in leukemia and cellular processes 3
- RNA modifications and cancer 3
- Wnt/β-catenin signaling in development and cancer 2
- Ubiquitin and proteasome pathways 1
- Genetics 4
- Estrogen and related hormone effects 4
- Co-authors
- Michael R. Stallcup (9 shared papers)Heng Hong (4 shared papers)Stephen S. Koh (2 shared papers)Dana W. Aswad (2 shared papers)Dagang Chen (2 shared papers)Brandon T. Schurter (1 shared paper)Shih‐Ming Huang (1 shared paper)Peter J. Kushner (2 shared papers)
- Journals
- Current Biology (2 papers)Molecular Endocrinology (2 papers)Journal of Biological Chemistry (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Cancer Management and Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Han Ma
12 papers receiving 2.6k citations
Han Ma's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 2.2k
- Genetics 850
- Endocrinology, Diabetes and Metabolism 254
- Cancer Research 153
- Oncology 232
Countries citing papers authored by Han Ma
This map shows the geographic impact of Han 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 Han Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Ma more than expected).
Fields of papers citing papers by Han Ma
This network shows the impact of papers produced by Han 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 Han Ma. The network helps show where Han Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 | Regulation of Transcription by a Protein Methyltransferase Hit paper breakdown → | 1999 | 986 |
| 2 | 2001 | 377 | |
| 3 | 1998 | 352 | |
| 4 | 1999 | 205 | |
| 5 | 2005 | 203 | |
| 6 | 2001 | 182 | |
| 7 | 2003 | 96 | |
| 8 | 2001 | 89 | |
| 9 | 1999 | 70 | |
| 10 | 2021 | 55 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 12 |
About Han Ma
Han Ma is a scholar working on Molecular Biology, Genetics, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Epigenetics and DNA Methylation (5 papers), Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (3 papers), RNA modifications and cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Ubiquitin and proteasome pathways (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (850 citations), Endocrinology, Diabetes and Metabolism (254 citations), Cancer Research (153 citations) and Oncology (232 citations). Han Ma has collaborated with scholars based in United States and China. Frequent co-authors include Michael R. Stallcup, Heng Hong, Stephen S. Koh, Dana W. Aswad, Dagang Chen, Brandon T. Schurter, Shih‐Ming Huang, Peter J. Kushner, Catherine Teyssier and C. David Allis. Their work appears in journals such as Current Biology, Molecular Endocrinology, Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology and Cancer Management and Research.
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.