John Selberg
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Neuroscience and Neural Engineering 15
- Photoreceptor and optogenetics research 8
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- Advanced Sensor and Energy Harvesting Materials 4
- 3D Printing in Biomedical Research 3
- Co-authors
- Marco Rolandi (20 shared papers)Mircea Teodorescu (11 shared papers)Xenofon Strakosas (4 shared papers)Pattawong Pansodtee (9 shared papers)Marcella Gomez (8 shared papers)Manping Jia (8 shared papers)Michael Levin (5 shared papers)Zahra Hemmatian (1 shared paper)
- Journals
- Scientific Reports (3 papers)Advanced Science (3 papers)APL Materials (2 papers)iScience (1 paper)Small (1 paper)
- Partner nations
- United StatesCosta RicaSaudi Arabia
In The Last Decade
John Selberg
20 papers receiving 491 citations
Peers
Comparison fields: 5 of 94
- Bioengineering 90
- Cellular and Molecular Neuroscience 152
- Electrochemistry 43
- Polymers and Plastics 97
- Biomedical Engineering 219
Countries citing papers authored by John Selberg
This map shows the geographic impact of John Selberg'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 John Selberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Selberg more than expected).
Fields of papers citing papers by John Selberg
This network shows the impact of papers produced by John Selberg. 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 John Selberg. The network helps show where John Selberg may publish in the future.
Co-authors
The 25 scholars most cited alongside John Selberg, 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 | 2019 | 104 | |
| 2 | 2019 | 51 | |
| 3 | 2018 | 47 | |
| 4 | 2022 | 37 | |
| 5 | 2019 | 33 | |
| 6 | 2018 | 33 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 3 |
About John Selberg
John Selberg is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Bioengineering, having authored 20 papers that have together received 495 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (8 papers), Analytical Chemistry and Sensors (5 papers), Advanced Memory and Neural Computing (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), 3D Printing in Biomedical Research (3 papers), Electrochemical sensors and biosensors (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Bioengineering (90 citations), Cellular and Molecular Neuroscience (152 citations), Electrochemistry (43 citations), Polymers and Plastics (97 citations) and Biomedical Engineering (219 citations). John Selberg has collaborated with scholars based in United States, Costa Rica and Saudi Arabia. Frequent co-authors include Marco Rolandi, Mircea Teodorescu, Xenofon Strakosas, Pattawong Pansodtee, Marcella Gomez, Manping Jia, Michael Levin, Zahra Hemmatian, Mohammad Jafari and Chunxiao Wu. Their work appears in journals such as Scientific Reports, Advanced Science, APL Materials, iScience and Small.
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.