Joanna Mattis
- Cellular and Molecular Neuroscience top 0.5%
- Photoreceptor and optogenetics research 13
- Neuroscience and Neuropharmacology Research 10
- Neuroscience and Neural Engineering 6
- Biophysics top 0.2%
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 2
- Behavioral Neuroscience top 5%
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- Molecular Communication and Nanonetworks 2
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- CRISPR and Genetic Engineering 2
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- Neuroendocrine regulation and behavior 2
- Co-authors
- Karl DeisserothCharu RamakrishnanViviana GradinaruFeng ZhangRohit PrakashAmita SehgalKay M. TyeSung‐Yon Kim
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joanna Mattis
23 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 3.1k
- Biophysics 761
- Cognitive Neuroscience 1.7k
- Endocrine and Autonomic Systems 550
- Behavioral Neuroscience 173
Countries citing papers authored by Joanna Mattis
This map shows the geographic impact of Joanna Mattis'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 Joanna Mattis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Mattis more than expected).
Fields of papers citing papers by Joanna Mattis
This network shows the impact of papers produced by Joanna Mattis. 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 Joanna Mattis. The network helps show where Joanna Mattis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joanna Mattis, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 7 | |
| 9 | 2016 | 254 | |
| 10 | 2016 | 34 | |
| 11 | 2014 | 373 | |
| 12 | 2014 | 32 | |
| 13 | Structural and molecular interrogation of intact biological systemsbreakdown → | 2013 | 1417 |
| 14 | 2013 | 271 | |
| 15 | 2011 | 323 | |
| 16 | Molecular and Cellular Approaches for Diversifying and Extending Optogeneticsbreakdown → | 2010 | 745 |
| 17 | 2008 | 103 | |
| 18 | 2008 | 400 | |
| 19 | 2008 | 23 | |
| 20 | 2006 | 11 |
About Joanna Mattis
Joanna Mattis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 23 papers that have together received 5.1k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers), Molecular Communication and Nanonetworks (2 papers), Memory and Neural Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Biophysics (761 citations) and Cognitive Neuroscience (1.7k citations). Joanna Mattis has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karl Deisseroth, Charu Ramakrishnan, Viviana Gradinaru, Feng Zhang, Rohit Prakash, Amita Sehgal, Kay M. Tye, Sung‐Yon Kim, Kelly A. Zalocusky and Logan Grosenick.
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.