J. Hasseman
Impact in
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neurobiology and Insect Physiology Research
Papers in
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- Photoreceptor and optogenetics research 4
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
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- Gene expression and cancer classification 2
- Retinal Development and Disorders 2
- Co-authors
- Loren L. Looger (5 shared papers)Karel Svoboda (3 shared papers)Douglas S. Kim (3 shared papers)Vivek Jayaraman (4 shared papers)Eric R. Schreiter (3 shared papers)Getahun Tsegaye (3 shared papers)J. J. Macklin (2 shared papers)Ronak Patel (2 shared papers)
- Journals
- eLife (2 papers)Nature Methods (1 paper)BMC Biotechnology (1 paper)Current Biology (1 paper)Brain (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. Hasseman
9 papers receiving 1.8k citations
J. Hasseman's Hit Papers
Peers
Comparison fields: 5 of 112
- Biophysics 341
- Cellular and Molecular Neuroscience 954
- Cognitive Neuroscience 458
- Aging 34
- Endocrine and Autonomic Systems 106
Countries citing papers authored by J. Hasseman
This map shows the geographic impact of J. Hasseman'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 J. Hasseman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hasseman more than expected).
Fields of papers citing papers by J. Hasseman
This network shows the impact of papers produced by J. Hasseman. 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 J. Hasseman. The network helps show where J. Hasseman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Hasseman, 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 | High-performance calcium sensors for imaging activity in neuronal populations and microcompartments Hit paper breakdown → | 2019 | 754 |
| 2 | Sensitive red protein calcium indicators for imaging neural activity Hit paper breakdown → | 2016 | 678 |
| 3 | 2002 | 270 | |
| 4 | 2013 | 47 | |
| 5 | 2004 | 25 | |
| 6 | 2011 | 23 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2011 | 14 | |
| 10 | 2025 | 0 |
About J. Hasseman
J. Hasseman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Biophysics and Ecology, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Gene expression and cancer classification (2 papers), Retinal Development and Disorders (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Biophysics (341 citations), Cellular and Molecular Neuroscience (954 citations), Cognitive Neuroscience (458 citations), Aging (34 citations) and Endocrine and Autonomic Systems (106 citations). J. Hasseman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Loren L. Looger, Karel Svoboda, Douglas S. Kim, Vivek Jayaraman, Eric R. Schreiter, Getahun Tsegaye, J. J. Macklin, Ronak Patel, Boaz Mohar and Yi Sun. Their work appears in journals such as eLife, Nature Methods, BMC Biotechnology, Current Biology and Brain.
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.