Tang‐Long Shen
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Cell Adhesion Molecules Research 20
- Cell Biology 23
- Cellular Mechanics and Interactions 12
- Hippo pathway signaling and YAP/TAZ 7
- Co-authors
- Jun‐Lin GuanYuling TaiDong Cho HanKo‐Chien ChenJer‐Tsong HsiehLih‐Chyang ChenJun-Lin GuanJun‐Yang Liou
- Journals
- Journal of Biological Chemistry (8 papers)PLoS ONE (6 papers)Journal of Biomedical Science (3 papers)Oncogene (3 papers)Virology Journal (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tang‐Long Shen
93 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 139
- Immunology and Allergy 811
- Cell Biology 865
- Cancer Research 738
- Molecular Biology 2.4k
- Oncology 565
Countries citing papers authored by Tang‐Long Shen
This map shows the geographic impact of Tang‐Long Shen'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 Tang‐Long Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tang‐Long Shen more than expected).
Fields of papers citing papers by Tang‐Long Shen
This network shows the impact of papers produced by Tang‐Long Shen. 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 Tang‐Long Shen. The network helps show where Tang‐Long Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tang‐Long Shen, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 30 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 30 | |
| 11 | 2018 | 1 | |
| 12 | 2016 | 22 | |
| 13 | 2016 | 7 | |
| 14 | 2014 | 9 | |
| 15 | 2010 | 4 | |
| 16 | 2010 | 5 | |
| 17 | 2010 | 41 | |
| 18 | 2009 | 42 | |
| 19 | 2007 | 55 | |
| 20 | 2001 | 150 |
About Tang‐Long Shen
Tang‐Long Shen is a scholar working on Immunology and Allergy, Cell Biology, Horticulture, Cancer Research and Molecular Biology, having authored 96 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Extracellular vesicles in disease (14 papers), Cellular Mechanics and Interactions (12 papers), Ubiquitin and proteasome pathways (9 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Plant Virus Research Studies (6 papers) and Fungal Biology and Applications (6 papers). The work is most often cited by research in Immunology and Allergy (811 citations), Cell Biology (865 citations), Cancer Research (738 citations), Molecular Biology (2.4k citations) and Oncology (565 citations). Tang‐Long Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jun‐Lin Guan, Yuling Tai, Dong Cho Han, Ko‐Chien Chen, Jer‐Tsong Hsieh, Lih‐Chyang Chen, Jun-Lin Guan, Jun‐Yang Liou, Tsai‐Kun Li and Pei‐Yu Chu. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Journal of Biomedical Science, Oncogene and Virology Journal.
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.