Jun Ge
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Gut microbiota and health 3
- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 17
- Cancer Immunotherapy and Biomarkers 4
- Lung Cancer Research Studies 3
- Peptidase Inhibition and Analysis 2
- Co-authors
- Binbin Wang (2 shared papers)Peng Zhang (2 shared papers)Taiwen Li (1 shared paper)Chenfei Wang (1 shared paper)Liangdong Sun (1 shared paper)Rongbin Zheng (1 shared paper)Xin Dong (1 shared paper)Ya Han (1 shared paper)
- Journals
- The Oncologist (2 papers)Scientific Reports (2 papers)Diabetes Research and Clinical Practice (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Ge
63 papers receiving 2.0k citations
Jun Ge's Hit Papers
Peers
Comparison fields: 5 of 116
- Oncology 497
- Cancer Research 270
- Immunology 311
- Molecular Biology 811
- Pulmonary and Respiratory Medicine 325
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 68 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 | 726 |
| 2 | 2011 | 145 | |
| 3 | 2019 | 99 | |
| 4 | 2017 | 96 | |
| 5 | 2022 | 95 | |
| 6 | 2018 | 82 | |
| 7 | 2021 | 55 | |
| 8 | 2014 | 54 | |
| 9 | 2020 | 48 | |
| 10 | 2016 | 34 | |
| 11 | 2021 | 33 | |
| 12 | 2018 | 32 | |
| 13 | 2014 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2022 | 28 | |
| 16 | 2017 | 24 | |
| 17 | 2013 | 21 | |
| 18 | 2013 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2012 | 18 |
About Jun Ge
Jun Ge is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Gut microbiota and health (3 papers), Lung Cancer Research Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Oncology (497 citations), Cancer Research (270 citations), Immunology (311 citations), Molecular Biology (811 citations) and Pulmonary and Respiratory Medicine (325 citations). Jun Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Binbin Wang, Peng Zhang, Taiwen Li, Chenfei Wang, Liangdong Sun, Rongbin Zheng, Xin Dong, Ya Han, Xiaoying Shi and Jin Wang. Their work appears in journals such as The Oncologist, Scientific Reports, Diabetes Research and Clinical Practice, Cancer Chemotherapy and Pharmacology and International Immunopharmacology.
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.