Robert Hooper
Impact in
- Physiology top 0.1%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Sensory Systems top 0.5%
- Ion Channels and Receptors
Papers in
-
- Ion Channels and Receptors 17
- Physiology 13
- Calcium signaling and nucleotide metabolism 13
- Adenosine and Purinergic Signaling 4
- Co-authors
- Sandip Patel (9 shared papers)Eugen Brailoiu (9 shared papers)Dev Churamani (7 shared papers)Jonathan S. Marchant (4 shared papers)G. Cristina Brailoiu (4 shared papers)James A. Inciardi (3 shared papers)Clifford A. Butzin (2 shared papers)Steven S. Martin (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Science Signaling (3 papers)The FASEB Journal (2 papers)Biochemical Journal (2 papers)Wear (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert Hooper
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Physiology 899
- Sensory Systems 579
- Cell Biology 216
- Pharmacology 83
- Epidemiology 285
Countries citing papers authored by Robert Hooper
This map shows the geographic impact of Robert Hooper'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 Robert Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Hooper more than expected).
Fields of papers citing papers by Robert Hooper
This network shows the impact of papers produced by Robert Hooper. 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 Robert Hooper. The network helps show where Robert Hooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Hooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 348 | |
| 2 | 1997 | 233 | |
| 3 | 2010 | 150 | |
| 4 | 2011 | 138 | |
| 5 | 2009 | 112 | |
| 6 | 2014 | 98 | |
| 7 | 2003 | 60 | |
| 8 | 2010 | 55 | |
| 9 | 2015 | 34 | |
| 10 | 2006 | 33 | |
| 11 | 2011 | 32 | |
| 12 | 2013 | 32 | |
| 13 | 2019 | 29 | |
| 14 | 2012 | 26 | |
| 15 | 2006 | 20 | |
| 16 | 2013 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2006 | 19 | |
| 19 | 1993 | 19 | |
| 20 | 2014 | 15 |
About Robert Hooper
Robert Hooper is a scholar working on Sensory Systems, Physiology, Molecular Biology, Epidemiology and Surgery, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Channels and Receptors (17 papers), Calcium signaling and nucleotide metabolism (13 papers), Ion channel regulation and function (5 papers), Adenosine and Purinergic Signaling (4 papers), Neurobiology and Insect Physiology Research (4 papers), Piperaceae Chemical and Biological Studies (3 papers), Shoulder Injury and Treatment (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Physiology (899 citations), Sensory Systems (579 citations), Cell Biology (216 citations), Pharmacology (83 citations) and Epidemiology (285 citations). Robert Hooper has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sandip Patel, Eugen Brailoiu, Dev Churamani, Jonathan S. Marchant, G. Cristina Brailoiu, James A. Inciardi, Clifford A. Butzin, Steven S. Martin, Lana D. Harrison and Nae J. Dun. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, The FASEB Journal, Biochemical Journal and Wear.
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.