Hang Shi
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
-
- RNA Research and Splicing 7
- Nuclear Structure and Function 3
-
- Target Tracking and Data Fusion in Sensor Networks 5
- Co-authors
- Rui-Ming Xu (2 shared papers)Günter Blobel (5 shared papers)James H. Hurley (1 shared paper)Juan S. Bonifacino (1 shared paper)Raúl Rojas (1 shared paper)Qi Hao (2 shared papers)Jiawei Wang (1 shared paper)Elias Coutavas (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature (2 papers)Journal of Tissue Engineering and Regenerative Medicine (2 papers)Diabetes Technology & Therapeutics (1 paper)IET Renewable Power Generation (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hang Shi
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Cell Biology 219
- Physiology 45
- Molecular Biology 598
- Developmental Neuroscience 34
- Aging 14
Countries citing papers authored by Hang Shi
This map shows the geographic impact of Hang Shi'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 Hang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Shi more than expected).
Fields of papers citing papers by Hang Shi
This network shows the impact of papers produced by Hang Shi. 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 Hang Shi. The network helps show where Hang Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Shi, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 139 | |
| 2 | 2016 | 129 | |
| 3 | 2004 | 102 | |
| 4 | 2018 | 96 | |
| 5 | 2003 | 74 | |
| 6 | 2020 | 68 | |
| 7 | 2012 | 65 | |
| 8 | 2018 | 65 | |
| 9 | 2019 | 52 | |
| 10 | 2019 | 49 | |
| 11 | STMS: improving MPTCP throughput under heterogeneous networks | 2018 | 47 |
| 12 | 2010 | 41 | |
| 13 | 2011 | 36 | |
| 14 | 2022 | 28 | |
| 15 | 2019 | 25 | |
| 16 | 2019 | 20 | |
| 17 | 2024 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2014 | 13 | |
| 20 | 2018 | 11 |
About Hang Shi
Hang Shi is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Inertial Sensor and Navigation (6 papers), Network Traffic and Congestion Control (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Image and Video Quality Assessment (4 papers), Advanced Battery Technologies Research (4 papers), Nuclear Structure and Function (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Cell Biology (219 citations), Physiology (45 citations), Molecular Biology (598 citations), Developmental Neuroscience (34 citations) and Aging (14 citations). Hang Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rui-Ming Xu, Günter Blobel, James H. Hurley, Juan S. Bonifacino, Raúl Rojas, Qi Hao, Jiawei Wang, Elias Coutavas, Xiaochun Li and Patrick Linder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Journal of Tissue Engineering and Regenerative Medicine, Diabetes Technology & Therapeutics and IET Renewable Power Generation.
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.