J. Hasseman

4.3k citations
10 papers · 1.8k indexed · 2 hit papers · h-index 9

Impact in

  • Biophysics top 0.5%
    • Advanced Fluorescence Microscopy Techniques
    • Photoreceptor and optogenetics research
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Neurobiology and Insect Physiology Research

Papers in

J. Hasseman

9 papers receiving 1.8k citations

Hit Papers

High-performance calcium sensors for imaging activity in neuronal populations and microcompartments 2019 · 714 citations
7142016202620192022200400600

Peers

J. Hasseman
Comparison fields: 5 of 113
  • Biophysics 341
  • Cellular and Molecular Neuroscience 953
  • Cognitive Neuroscience 473
  • Aging 34
  • Endocrine and Autonomic Systems 105
Replace Getahun Tsegaye with:
Getahun Tsegaye United States
Boaz Mohar United States
Amy Hu United States
Graham T. Holt United States
Justus M. Kebschull United States
Bart G. Borghuis United States
Sarada Viswanathan United States
Marco Mank Germany
Jesse D. Marshall United States
J. Hasseman relative to Getahun Tsegaye United States Getahun Tsegaye's profile →
Citations per field
00.5×1.5×
Getahun Tsegaye · 1×
Citations per year

Countries citing papers authored by J. Hasseman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with J. Hasseman Line = papers co-authored together J. Hasseman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20250
2 202315
3 202314
4
High-performance calcium sensors for imaging activity in neuronal populations and microcompartments
Hit paper breakdown →
2019714
5
Sensitive red protein calcium indicators for imaging neural activity
Hit paper breakdown →
2016655
6 201346
7 201123
8 201114
9 200425
10 2002270

About J. Hasseman

J. Hasseman is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Genetics, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Retinal Development and Disorders (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biophysics (341 citations), Cellular and Molecular Neuroscience (953 citations), Cognitive Neuroscience (473 citations), Aging (34 citations) and Endocrine and Autonomic Systems (105 citations). J. Hasseman has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Loren L. Looger, Douglas S. Kim, Getahun Tsegaye, Eric R. Schreiter, Karel Svoboda, Vivek Jayaraman, Hod Dana, Yi Sun, Ronak Patel and Boaz Mohar. Their work appears in journals such as Nature Methods, Current Biology, Brain, Journal of Molecular Biology and Genome biology.

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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