Na Man
Impact in
-
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Cancer-related gene regulation 7
- Epigenetics and DNA Methylation 6
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- RNA Interference and Gene Delivery 3
- Cell death mechanisms and regulation 2
-
- Acute Myeloid Leukemia Research 6
- Co-authors
- Stephen D. Nimer (15 shared papers)Lan Wang (6 shared papers)Fan Liu (10 shared papers)Sarah Greenblatt (8 shared papers)Pierre-Jacques Hamard (5 shared papers)Stephen D. Nimer (3 shared papers)Xiao‐Jian Sun (6 shared papers)Yurong Tan (5 shared papers)
- Journals
- Blood (6 papers)Nature Communications (3 papers)Journal of Clinical Investigation (2 papers)Cell Reports (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Na Man
23 papers receiving 843 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 635
- Hematology 94
- Aging 9
- Polymers and Plastics 70
- Cancer Research 47
Countries citing papers authored by Na Man
This map shows the geographic impact of Na Man'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 Na Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Man more than expected).
Fields of papers citing papers by Na Man
This network shows the impact of papers produced by Na Man. 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 Na Man. The network helps show where Na Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Man, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2015 | 109 | |
| 3 | 2015 | 99 | |
| 4 | 2006 | 83 | |
| 5 | 2010 | 59 | |
| 6 | 2016 | 56 | |
| 7 | 2020 | 45 | |
| 8 | 2014 | 39 | |
| 9 | 2017 | 39 | |
| 10 | 2019 | 37 | |
| 11 | 2016 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2018 | 23 | |
| 14 | 2016 | 15 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Na Man
Na Man is a scholar working on Molecular Biology, Hematology, Immunology, Epidemiology and Surgery, having authored 24 papers that have together received 852 indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (6 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), RNA Interference and Gene Delivery (3 papers), Autophagy in Disease and Therapy (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Molecular Biology (635 citations), Hematology (94 citations), Aging (9 citations), Polymers and Plastics (70 citations) and Cancer Research (47 citations). Na Man has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stephen D. Nimer, Lan Wang, Fan Liu, Sarah Greenblatt, Pierre-Jacques Hamard, Stephen D. Nimer, Xiao‐Jian Sun, Yurong Tan, Daniel Karl and Concepción Martínez. Their work appears in journals such as Blood, Nature Communications, Journal of Clinical Investigation, Cell Reports and Nucleic Acids 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.