Han Sha
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
- Accounting top 10%
- Corporate Finance and Governance
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
-
- Signaling Pathways in Disease 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Fenghua Wen (1 shared paper)Liuguo Shao (1 shared paper)Jie Zhao (2 shared papers)Haiying Jin (1 shared paper)Tetsuya Asakawa (5 shared papers)Jeff Huang (2 shared papers)Bao‐Guo Xiao (4 shared papers)Liang Wang (4 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Cellular Physiology and Biochemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)Pregnancy Hypertension (1 paper)Finance research letters (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Han Sha
15 papers receiving 427 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 33
- Accounting 63
- Economics and Econometrics 123
- Obstetrics and Gynecology 30
- Neurology 34
Countries citing papers authored by Han Sha
This map shows the geographic impact of Han Sha'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 Han Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Sha more than expected).
Fields of papers citing papers by Han Sha
This network shows the impact of papers produced by Han Sha. 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 Han Sha. The network helps show where Han Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Sha, 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 | 2020 | 174 | |
| 2 | 2019 | 39 | |
| 3 | 2017 | 36 | |
| 4 | 2015 | 29 | |
| 5 | 2016 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 4 |
About Han Sha
Han Sha is a scholar working on Neurology, Molecular Biology, Obstetrics and Gynecology, Cell Biology and Human-Computer Interaction, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Zebrafish Biomedical Research Applications (3 papers), Signaling Pathways in Disease (2 papers), Pregnancy and preeclampsia studies (2 papers), Innovative Human-Technology Interaction (2 papers), Gestational Diabetes Research and Management (1 paper), Epigenetics and DNA Methylation (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Human-Computer Interaction (33 citations), Accounting (63 citations), Economics and Econometrics (123 citations), Obstetrics and Gynecology (30 citations) and Neurology (34 citations). Han Sha has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Fenghua Wen, Liuguo Shao, Jie Zhao, Haiying Jin, Tetsuya Asakawa, Jeff Huang, Bao‐Guo Xiao, Liang Wang, Hiroki Namba and Alexandra Papoutsaki. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Cellular Physiology and Biochemistry, Biochemical and Biophysical Research Communications, Pregnancy Hypertension and Finance research letters.
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.