Dev Churamani
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
- Physiology 18
- Calcium signaling and nucleotide metabolism 18
- Adenosine and Purinergic Signaling 5
-
- Ion Channels and Receptors 8
- Co-authors
- Sandip Patel (18 shared papers)Eugen Brailoiu (10 shared papers)Robert Hooper (7 shared papers)G. Cristina Brailoiu (3 shared papers)Jonathan S. Marchant (5 shared papers)Michael J. Boulware (4 shared papers)Nae J. Dun (2 shared papers)Michael G. Schrlau (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemical Journal (5 papers)Cell Calcium (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Dev Churamani
19 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 68
- Physiology 1.2k
- Sensory Systems 588
- Cell Biology 301
- Pharmacology 112
- Neurology 151
Countries citing papers authored by Dev Churamani
This map shows the geographic impact of Dev Churamani'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 Dev Churamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Churamani more than expected).
Fields of papers citing papers by Dev Churamani
This network shows the impact of papers produced by Dev Churamani. 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 Dev Churamani. The network helps show where Dev Churamani may publish in the future.
Co-authors
The 25 scholars most cited alongside Dev Churamani, 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 | 2009 | 348 | |
| 2 | 2011 | 251 | |
| 3 | 2010 | 150 | |
| 4 | 2011 | 138 | |
| 5 | 2014 | 98 | |
| 6 | 2006 | 88 | |
| 7 | 2011 | 82 | |
| 8 | 2012 | 66 | |
| 9 | 2010 | 55 | |
| 10 | 2004 | 37 | |
| 11 | 2011 | 32 | |
| 12 | 2007 | 31 | |
| 13 | 2013 | 20 | |
| 14 | 2017 | 16 | |
| 15 | 2008 | 15 | |
| 16 | 2006 | 13 | |
| 17 | 2005 | 10 | |
| 18 | 2005 | 9 | |
| 19 | 2012 | 5 |
About Dev Churamani
Dev Churamani is a scholar working on Physiology, Sensory Systems, Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (18 papers), Ion Channels and Receptors (8 papers), Adenosine and Purinergic Signaling (5 papers), Piperaceae Chemical and Biological Studies (3 papers), Photoreceptor and optogenetics research (3 papers), Cellular transport and secretion (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Physiology (1.2k citations), Sensory Systems (588 citations), Cell Biology (301 citations), Pharmacology (112 citations) and Neurology (151 citations). Dev Churamani has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Sandip Patel, Eugen Brailoiu, Robert Hooper, G. Cristina Brailoiu, Jonathan S. Marchant, Michael J. Boulware, Nae J. Dun, Michael G. Schrlau, Xīn Gào and Xinjiang Cai. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Cell Calcium, PLoS ONE and Proceedings of the National Academy of Sciences.
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.