Jing Sha
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Advancements in Photolithography Techniques 13
- Semiconductor materials and devices 5
- Integrated Circuits and Semiconductor Failure Analysis 4
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- Intelligent Tutoring Systems and Adaptive Learning 4
- Co-authors
- Ashok K. Chopra (6 shared papers)A. A. Fadl (6 shared papers)Christopher K. Ober (17 shared papers)Tatiana E. Erova (1 shared paper)Johanna C. Sierra (1 shared paper)Amy J. Horneman (1 shared paper)Giovanni Suárez (1 shared paper)Gary R. Klimpel (4 shared papers)
- Journals
- Infection and Immunity (4 papers)Journal of Materials Chemistry (3 papers)American Journal of Translational Research (1 paper)Gene (1 paper)INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Sha
61 papers receiving 992 citations
Peers
Comparison fields: 5 of 131
- Endocrinology 185
- Molecular Medicine 69
- Signal Processing 76
- Aging 10
- Surfaces, Coatings and Films 35
Countries citing papers authored by Jing Sha
This map shows the geographic impact of Jing 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 Jing Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Sha more than expected).
Fields of papers citing papers by Jing Sha
This network shows the impact of papers produced by Jing 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 Jing Sha. The network helps show where Jing Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | 2011 | 86 | |
| 3 | 2006 | 79 | |
| 4 | 2004 | 71 | |
| 5 | 2010 | 60 | |
| 6 | 2019 | 42 | |
| 7 | 2005 | 40 | |
| 8 | 2008 | 35 | |
| 9 | 2012 | 29 | |
| 10 | 2023 | 26 | |
| 11 | 2012 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2015 | 21 | |
| 14 | 2009 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2010 | 19 | |
| 17 | 2004 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2019 | 13 |
About Jing Sha
Jing Sha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Information Systems and Computer Networks and Communications, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (13 papers), Nanofabrication and Lithography Techniques (6 papers), Semiconductor materials and devices (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Advanced Malware Detection Techniques (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Phase Equilibria and Thermodynamics (3 papers). The work is most often cited by research in Endocrinology (185 citations), Molecular Medicine (69 citations), Signal Processing (76 citations), Aging (10 citations) and Surfaces, Coatings and Films (35 citations). Jing Sha has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ashok K. Chopra, A. A. Fadl, Christopher K. Ober, Tatiana E. Erova, Johanna C. Sierra, Amy J. Horneman, Giovanni Suárez, Gary R. Klimpel, Cristi L. Galindo and David W. Niesel. Their work appears in journals such as Infection and Immunity, Journal of Materials Chemistry, American Journal of Translational Research, Gene and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.
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.