Paul S. Katz
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 55
- Neuroscience and Neuropharmacology Research 11
- Photoreceptor and optogenetics research 7
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 35
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- Cephalopods and Marine Biology 28
- Developmental Biology top 5%
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- Advanced Memory and Neural Computing 7
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- Physiological and biochemical adaptations 7
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- Zebrafish Biomedical Research Applications 7
- Co-authors
- Ronald M. Harris‐WarrickAkira SakuraiWilliam N. FrostJames M. NewcombJoshua L. LillvisPeter A. GettingStefan ClemensI. B. Levitan
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Paul S. Katz
96 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 139
- Cellular and Molecular Neuroscience 1.9k
- Cognitive Neuroscience 1.2k
- Ecology, Evolution, Behavior and Systematics 727
- Endocrine and Autonomic Systems 249
- Developmental Biology 76
Countries citing papers authored by Paul S. Katz
This map shows the geographic impact of Paul S. Katz'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 Paul S. Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul S. Katz more than expected).
Fields of papers citing papers by Paul S. Katz
This network shows the impact of papers produced by Paul S. Katz. 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 Paul S. Katz. The network helps show where Paul S. Katz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul S. Katz, 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 | 2023 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 5 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 19 | |
| 7 | 2013 | 8 | |
| 8 | 2013 | 34 | |
| 9 | 2011 | 44 | |
| 10 | 2008 | 35 | |
| 11 | 2008 | 2 | |
| 12 | 2007 | 2 | |
| 13 | 2007 | 5 | |
| 14 | 2006 | 9 | |
| 15 | 2006 | 1 | |
| 16 | 2005 | 2 | |
| 17 | 2004 | 51 | |
| 18 | 2001 | 20 | |
| 19 | 1999 | 130 | |
| 20 | 1996 | 389 |
About Paul S. Katz
Paul S. Katz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (55 papers), Neural dynamics and brain function (35 papers), Cephalopods and Marine Biology (28 papers), Neuroscience and Neuropharmacology Research (11 papers), Photoreceptor and optogenetics research (7 papers), Advanced Memory and Neural Computing (7 papers), Physiological and biochemical adaptations (7 papers) and Zebrafish Biomedical Research Applications (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (1.2k citations) and Ecology, Evolution, Behavior and Systematics (727 citations). Paul S. Katz has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ronald M. Harris‐Warrick, Akira Sakurai, William N. Frost, James M. Newcomb, Joshua L. Lillvis, Peter A. Getting, Stefan Clemens, I. B. Levitan, Adriano Senatore and Robert Calin‐Jageman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.