Jeffrey Harmon
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 2
-
- 3D Printing in Biomedical Research 4
- Optical Coherence Tomography Applications 2
- Co-authors
- Keisuke Goda (10 shared papers)Hideharu Mikami (6 shared papers)Akihiro Isozaki (6 shared papers)Yuqi Zhou (2 shared papers)Cheng Lei (2 shared papers)Mika Hayashi (2 shared papers)Yuta Nakagawa (1 shared paper)Takuro Ito (2 shared papers)
- Journals
- Cytometry Part A (3 papers)Lab on a Chip (2 papers)Optica (1 paper)Environmental Science & Technology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jeffrey Harmon
12 papers receiving 274 citations
Peers
Comparison fields: 5 of 70
- Biophysics 96
- Acoustics and Ultrasonics 11
- Biomedical Engineering 155
- Structural Biology 3
- Instrumentation 7
Countries citing papers authored by Jeffrey Harmon
This map shows the geographic impact of Jeffrey Harmon'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 Jeffrey Harmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Harmon more than expected).
Fields of papers citing papers by Jeffrey Harmon
This network shows the impact of papers produced by Jeffrey Harmon. 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 Jeffrey Harmon. The network helps show where Jeffrey Harmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Harmon, 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 | 113 | |
| 2 | 2018 | 88 | |
| 3 | 2022 | 26 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 1981 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2017 | 1 |
About Jeffrey Harmon
Jeffrey Harmon is a scholar working on Biophysics, Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 280 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), 3D Printing in Biomedical Research (4 papers), Algal biology and biofuel production (3 papers), Optical Coherence Tomography Applications (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Image Processing Techniques and Applications (2 papers) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Biophysics (96 citations), Acoustics and Ultrasonics (11 citations), Biomedical Engineering (155 citations), Structural Biology (3 citations) and Instrumentation (7 citations). Jeffrey Harmon has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keisuke Goda, Hideharu Mikami, Akihiro Isozaki, Yuqi Zhou, Cheng Lei, Mika Hayashi, Yuta Nakagawa, Takuro Ito, Yasuyuki Ozeki and Kengo Suzuki. Their work appears in journals such as Cytometry Part A, Lab on a Chip, Optica, Environmental Science & Technology and Annals of the New York Academy of 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.