Jun Hou
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Gastric Cancer Management and Outcomes 7
- Co-authors
- Yingying Ding (7 shared papers)Shunquan Wu (7 shared papers)Fuquan Wu (6 shared papers)Panyong Mao (10 shared papers)Jingfeng Bi (3 shared papers)Frank Grosveld (5 shared papers)Sjaak Philipsen (4 shared papers)Wilfred F. J. van IJcken (5 shared papers)
- Journals
- Scientific Reports (7 papers)Oncotarget (5 papers)PLoS ONE (4 papers)Acta Biochimica et Biophysica Sinica (4 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jun Hou
123 papers receiving 4.3k citations
Jun Hou's Hit Papers
Peers
Comparison fields: 5 of 158
- Hepatology 391
- Cancer Research 490
- Immunology 489
- Epidemiology 625
- Molecular Biology 1.3k
Countries citing papers authored by Jun Hou
This map shows the geographic impact of Jun Hou'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 Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hou more than expected).
Fields of papers citing papers by Jun Hou
This network shows the impact of papers produced by Jun Hou. 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 Hou. The network helps show where Jun Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hou, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Prediction Hit paper breakdown → | 2010 | 629 |
| 2 | 2016 | 252 | |
| 3 | 2015 | 237 | |
| 4 | 2016 | 165 | |
| 5 | 2014 | 125 | |
| 6 | 2015 | 118 | |
| 7 | 2015 | 113 | |
| 8 | 2015 | 98 | |
| 9 | 2015 | 95 | |
| 10 | 2017 | 95 | |
| 11 | 2015 | 87 | |
| 12 | 2018 | 84 | |
| 13 | 2008 | 76 | |
| 14 | Monascus pigment-protected bone marrow-derived stem cells for heart failure treatment Hit paper breakdown → | 2024 | 72 |
| 15 | 2018 | 69 | |
| 16 | 2019 | 68 | |
| 17 | 2016 | 67 | |
| 18 | 2015 | 65 | |
| 19 | 2019 | 65 | |
| 20 | 2012 | 65 |
About Jun Hou
Jun Hou is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Immunology and Epidemiology, having authored 131 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Immune Cell Function and Interaction (9 papers), Hepatitis B Virus Studies (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Immunotherapy and Immune Responses (7 papers), Gastric Cancer Management and Outcomes (7 papers), Parasitic infections in humans and animals (7 papers) and Esophageal Cancer Research and Treatment (7 papers). The work is most often cited by research in Hepatology (391 citations), Cancer Research (490 citations), Immunology (489 citations), Epidemiology (625 citations) and Molecular Biology (1.3k citations). Jun Hou has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yingying Ding, Shunquan Wu, Fuquan Wu, Panyong Mao, Jingfeng Bi, Frank Grosveld, Sjaak Philipsen, Wilfred F. J. van IJcken, André Boonstra and Joachim G.J.V. Aerts. Their work appears in journals such as Scientific Reports, Oncotarget, PLoS ONE, Acta Biochimica et Biophysica Sinica and Frontiers in 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.