Jeffrey Harmon

449 total citations
11 papers, 262 citations indexed

About

Jeffrey Harmon is a scholar working on Biophysics, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jeffrey Harmon has authored 11 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 6 papers in Biomedical Engineering and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jeffrey Harmon's work include Cell Image Analysis Techniques (5 papers), 3D Printing in Biomedical Research (4 papers) and Algal biology and biofuel production (3 papers). Jeffrey Harmon is often cited by papers focused on Cell Image Analysis Techniques (5 papers), 3D Printing in Biomedical Research (4 papers) and Algal biology and biofuel production (3 papers). Jeffrey Harmon collaborates with scholars based in Japan, United States and China. Jeffrey Harmon's co-authors include Keisuke Goda, Hideharu Mikami, Akihiro Isozaki, Cheng Lei, Yuqi Zhou, Mika Hayashi, Yuta Nakagawa, Takuro Ito, Hiroshi Watarai and Syed Hamad and has published in prestigious journals such as Environmental Science & Technology, Annals of the New York Academy of Sciences and Lab on a Chip.

In The Last Decade

Jeffrey Harmon

10 papers receiving 251 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey Harmon Japan 6 151 91 50 47 38 11 262
Dongmin Seo South Korea 10 167 1.1× 92 1.0× 45 0.9× 99 2.1× 35 0.9× 35 337
Yiyue Jiang Japan 6 189 1.3× 144 1.6× 66 1.3× 71 1.5× 52 1.4× 9 323
Takeaki Sugimura Japan 7 97 0.6× 77 0.8× 34 0.7× 51 1.1× 68 1.8× 16 230
Marijn Siemons Netherlands 7 134 0.9× 214 2.4× 41 0.8× 43 0.9× 28 0.7× 14 288
Yuchen Gu China 8 80 0.5× 93 1.0× 66 1.3× 61 1.3× 39 1.0× 29 256
Anson H. L. Tang Hong Kong 7 171 1.1× 182 2.0× 32 0.6× 152 3.2× 71 1.9× 11 330
Rajan Gurjar United States 7 299 2.0× 137 1.5× 31 0.6× 58 1.2× 51 1.3× 17 461
Ruichen Luo China 7 76 0.5× 26 0.3× 86 1.7× 21 0.4× 48 1.3× 9 413
Yusuke Kasai Japan 8 156 1.0× 91 1.0× 43 0.9× 41 0.9× 46 1.2× 22 284
Gregor Holzner Switzerland 8 257 1.7× 89 1.0× 93 1.9× 33 0.7× 73 1.9× 11 344

Countries citing papers authored by Jeffrey Harmon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jeffrey Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Harmon. A scholar is included among the top collaborators of Jeffrey Harmon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Harmon. Jeffrey Harmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Müller, Paul, et al.. (2025). Small U‐Net for Fast and Reliable Segmentation in Imaging Flow Cytometry. Cytometry Part A. 107(7). 450–463.
2.
Matsumura, Hiroki, Maik Herbig, Dan Yuan, et al.. (2022). Deep imaging flow cytometry. Lab on a Chip. 22(5). 876–889. 26 indexed citations
3.
Harmon, Jeffrey, et al.. (2022). Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization. Cytometry Part A. 101(12). 1027–1034. 7 indexed citations
4.
Harmon, Jeffrey, Dan Yuan, Sheng Yan, et al.. (2021). Morphological Indicator for Directed Evolution of Euglena gracilis with a High Heavy Metal Removal Efficiency. Environmental Science & Technology. 55(12). 7880–7889. 11 indexed citations
5.
Harmon, Jeffrey, et al.. (2021). AI ON A CHIP FOR IDENTIFYING MICROALGAL CELLS WITH HIGH HEAVY METAL REMOVAL EFFICIENCY. 385–388. 1 indexed citations
6.
Harmon, Jeffrey, Hideharu Mikami, Hiroshi Kanno, Takuro Ito, & Keisuke Goda. (2020). Accurate classification of microalgae by intelligent frequency-division-multiplexed fluorescence imaging flow cytometry. OSA Continuum. 3(3). 430–430. 20 indexed citations
7.
Isozaki, Akihiro, Jeffrey Harmon, Yuqi Zhou, et al.. (2020). AI on a chip. Lab on a Chip. 20(17). 3074–3090. 110 indexed citations
8.
Mikami, Hideharu, Jeffrey Harmon, Yasuyuki Ozeki, & Keisuke Goda. (2018). Accurate classification of microalgal cells by frequency-division-multiplexed confocal imaging flow cytometry (Conference Presentation). 20–20. 1 indexed citations
9.
Mikami, Hideharu, Jeffrey Harmon, Hirofumi Kobayashi, et al.. (2018). Ultrafast confocal fluorescence microscopy beyond the fluorescence lifetime limit. Optica. 5(2). 117–117. 83 indexed citations
10.
Mikami, Hideharu, Jeffrey Harmon, Yasuyuki Ozeki, & Keisuke Goda. (2017). High-speed bioimaging with frequency-division-multiplexed fluorescence confocal microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10251. 102510M–102510M. 1 indexed citations
11.
Harmon, Jeffrey, et al.. (1981). TRANSPORT OF ALCOHOLS IN DEFORMED PMMA. Annals of the New York Academy of Sciences. 371(1 Structure and). 310–311. 2 indexed citations

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.

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2026