Sue Han
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
-
- Cellular transport and secretion 4
- Co-authors
- Chunzhang Yang (4 shared papers)Sabrina J. Cai (2 shared papers)Mingyu Qian (2 shared papers)Yang Liu (2 shared papers)Mark R. Gilbert (2 shared papers)Mioara Larion (2 shared papers)Jianyi Ding (1 shared paper)Yang Liu (1 shared paper)
- Journals
- Cancers (2 papers)Journal of Visualized Experiments (2 papers)Cell Reports (1 paper)Cell Death and Disease (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Sue Han
14 papers receiving 697 citations
Sue Han's Hit Papers
Peers
Comparison fields: 5 of 77
- Genetics 257
- Cancer Research 182
- Developmental Neuroscience 43
- Molecular Biology 351
- Structural Biology 6
Countries citing papers authored by Sue Han
This map shows the geographic impact of Sue Han'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 Sue Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Han more than expected).
Fields of papers citing papers by Sue Han
This network shows the impact of papers produced by Sue Han. 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 Sue Han. The network helps show where Sue Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Han, 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 | IDH mutation in glioma: molecular mechanisms and potential therapeutic targets Hit paper breakdown → | 2020 | 445 |
| 2 | 2019 | 109 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 30 | |
| 5 | 2019 | 30 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 6 | |
| 9 | 2001 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 |
About Sue Han
Sue Han is a scholar working on Molecular Biology, Cell Biology, Biophysics, Genetics and Cancer Research, having authored 16 papers that have together received 701 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Cellular transport and secretion (4 papers), Glioma Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pluripotent Stem Cells Research (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (257 citations), Cancer Research (182 citations), Developmental Neuroscience (43 citations), Molecular Biology (351 citations) and Structural Biology (6 citations). Sue Han has collaborated with scholars based in United States and China. Frequent co-authors include Chunzhang Yang, Sabrina J. Cai, Mingyu Qian, Yang Liu, Mark R. Gilbert, Mioara Larion, Jianyi Ding, Yang Liu, Yuhan Shi and Fei Liu. Their work appears in journals such as Cancers, Journal of Visualized Experiments, Cell Reports, Cell Death and Disease and Annals of Oncology.
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.