Jun Ge
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
- Oncology 21
- Cancer Immunotherapy and Biomarkers 6
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Binbin Wang (2 shared papers)Peng Zhang (2 shared papers)Yilv Yan (1 shared paper)Fan Zhang (1 shared paper)Taiwen Li (1 shared paper)Xin Dong (1 shared paper)Ya Han (1 shared paper)Pengfei Ren (1 shared paper)
- Journals
- Scientific Reports (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)The Oncologist (2 papers)Diabetes Research and Clinical Practice (2 papers)Cancer (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Jun Ge
60 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 398
- Oncology 665
- Immunology 414
- Pulmonary and Respiratory Medicine 506
- Molecular Biology 984
Countries citing papers authored by Jun Ge
This map shows the geographic impact of Jun Ge'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 Jun Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ge more than expected).
Fields of papers citing papers by Jun Ge
This network shows the impact of papers produced by Jun Ge. 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 Jun Ge. The network helps show where Jun Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ge, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment Hit paper breakdown → | 2020 | 689 |
| 2 | 2011 | 144 | |
| 3 | 2019 | 99 | |
| 4 | 2017 | 93 | |
| 5 | 2022 | 89 | |
| 6 | 2018 | 77 | |
| 7 | 2014 | 54 | |
| 8 | 2021 | 52 | |
| 9 | 2020 | 45 | |
| 10 | 2018 | 32 | |
| 11 | 2021 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2019 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2017 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2013 | 18 | |
| 19 | 2012 | 18 | |
| 20 | 2014 | 17 |
About Jun Ge
Jun Ge is a scholar working on Oncology, Cancer Research, Applied Microbiology and Biotechnology, Molecular Biology and Pathology and Forensic Medicine, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cancer Research (398 citations), Oncology (665 citations), Immunology (414 citations), Pulmonary and Respiratory Medicine (506 citations) and Molecular Biology (984 citations). Jun Ge has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Binbin Wang, Peng Zhang, Yilv Yan, Fan Zhang, Taiwen Li, Xin Dong, Ya Han, Pengfei Ren, Xiaoying Shi and Ziyi Li. Their work appears in journals such as Scientific Reports, Cancer Chemotherapy and Pharmacology, The Oncologist, Diabetes Research and Clinical Practice and Cancer.
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.