Su Ming Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 3
- RNA Interference and Gene Delivery 3
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
-
- MicroRNA in disease regulation 9
- Co-authors
- Mojca Jongen‐Lavrencic (9 shared papers)Bob Löwenberg (7 shared papers)M K Dijkstra (6 shared papers)Peter J.M. Valk (3 shared papers)David Avigan (1 shared paper)Julie Teruya‐Feldstein (1 shared paper)Ruud Delwel (1 shared paper)Katia Manova‐Todorova (1 shared paper)
- Journals
- Blood (5 papers)Leukemia (3 papers)Cell stem cell (1 paper)Life Science Alliance (1 paper)Cell Reports (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Su Ming Sun
16 papers receiving 993 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 513
- Hematology 215
- Molecular Biology 793
- Genetics 49
- Immunology 60
Countries citing papers authored by Su Ming Sun
This map shows the geographic impact of Su Ming Sun'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 Su Ming Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Ming Sun more than expected).
Fields of papers citing papers by Su Ming Sun
This network shows the impact of papers produced by Su Ming Sun. 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 Su Ming Sun. The network helps show where Su Ming Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Ming Sun, 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 | 2008 | 336 | |
| 2 | 2013 | 273 | |
| 3 | 2011 | 120 | |
| 4 | 2016 | 101 | |
| 5 | 2012 | 49 | |
| 6 | 2018 | 27 | |
| 7 | 2006 | 24 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2013 | 18 | |
| 11 | 2015 | 11 | |
| 12 | 2020 | 5 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2012 | 1 |
About Su Ming Sun
Su Ming Sun is a scholar working on Molecular Biology, Cancer Research, Hematology, Epidemiology and Orthopedics and Sports Medicine, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Acute Myeloid Leukemia Research (6 papers), DNA Repair Mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Interference and Gene Delivery (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Cancer Research (513 citations), Hematology (215 citations), Molecular Biology (793 citations), Genetics (49 citations) and Immunology (60 citations). Su Ming Sun has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Mojca Jongen‐Lavrencic, Bob Löwenberg, M K Dijkstra, Peter J.M. Valk, David Avigan, Julie Teruya‐Feldstein, Ruud Delwel, Katia Manova‐Todorova, Keisuke Ito and Su Jung Song. Their work appears in journals such as Blood, Leukemia, Cell stem cell, Life Science Alliance and Cell Reports.
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.