Manping Jia
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Neuroscience and Neural Engineering 10
- Photoreceptor and optogenetics research 5
-
- Advanced Sensor and Energy Harvesting Materials 8
- Co-authors
- Marco Rolandi (19 shared papers)John Selberg (8 shared papers)Pattawong Pansodtee (7 shared papers)Mircea Teodorescu (7 shared papers)Tiffany Nguyen (2 shared papers)Jinhwan Kim (1 shared paper)Marcella Gomez (6 shared papers)Chunxiao Wu (4 shared papers)
- Journals
- APL Materials (3 papers)Macromolecular Rapid Communications (2 papers)iScience (1 paper)Journal of the American Chemical Society (1 paper)ACS Chemical Neuroscience (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Manping Jia
23 papers receiving 445 citations
Peers
Comparison fields: 5 of 79
- Bioengineering 59
- Polymers and Plastics 139
- Cellular and Molecular Neuroscience 121
- Biomedical Engineering 241
- Biomaterials 67
Countries citing papers authored by Manping Jia
This map shows the geographic impact of Manping Jia'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 Manping Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manping Jia more than expected).
Fields of papers citing papers by Manping Jia
This network shows the impact of papers produced by Manping Jia. 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 Manping Jia. The network helps show where Manping Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Manping Jia, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2021 | 77 | |
| 3 | 2021 | 40 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 4 |
About Manping Jia
Manping Jia is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics and Bioengineering, having authored 23 papers that have together received 453 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Conducting polymers and applications (5 papers), Analytical Chemistry and Sensors (5 papers), Photoreceptor and optogenetics research (5 papers), Organic Light-Emitting Diodes Research (3 papers), Organic Electronics and Photovoltaics (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Bioengineering (59 citations), Polymers and Plastics (139 citations), Cellular and Molecular Neuroscience (121 citations), Biomedical Engineering (241 citations) and Biomaterials (67 citations). Manping Jia has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Marco Rolandi, John Selberg, Pattawong Pansodtee, Mircea Teodorescu, Tiffany Nguyen, Jinhwan Kim, Marcella Gomez, Chunxiao Wu, Mohammad Jafari and Juanita Mathews. Their work appears in journals such as APL Materials, Macromolecular Rapid Communications, iScience, Journal of the American Chemical Society and ACS Chemical Neuroscience.
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.