Dev Churamani

1.7k citations
19 papers · 1.5k · h-index 15

Impact in

  • Physiology top 0.1%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
    • Ion Channels and Receptors

Papers in

    • Calcium signaling and nucleotide metabolism 18
    • Adenosine and Purinergic Signaling 5
    • Ion Channels and Receptors 9

Dev Churamani

19 papers receiving 1.5k citations

Peers

Dev Churamani
Comparison fields: 5 of 68
  • Physiology 1.2k
  • Sensory Systems 601
  • Cell Biology 305
  • Pharmacology 114
  • Neurology 152
Replace Bethan S. Kilpatrick with:
Bethan S. Kilpatrick United Kingdom
Duncan Bloor-Young United Kingdom
Yaping Lin-Moshier United States
Iliana Moreschi Italy
Stefanie Fenske Germany
Hartmut Cuny Australia
Mingxue Gu United States
Jieqiong Gao Germany
Christian Grüner Germany
Dev Churamani relative to Bethan S. Kilpatrick United Kingdom Bethan S. Kilpatrick's profile →
Citations per field
00.5×2.5×
Bethan S. Kilpatrick · 1×
Citations per year

Countries citing papers authored by Dev Churamani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

19 of 19 papers shown
#Work
1 2009348
2 2011250
3 2010149
4 2011137
5 201498
6 200689
7 201182
8 201266
9 201054
10 200437
11 201132
12 200731
13 201320
14 201716
15 200815
16 200613
17 200510
18 20059
19 20125

About Dev Churamani

Dev Churamani is a scholar working on Physiology, Sensory Systems, Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, 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 (9 papers), Adenosine and Purinergic Signaling (5 papers), Cellular transport and secretion (4 papers), Piperaceae Chemical and Biological Studies (3 papers), Photoreceptor and optogenetics research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (1.2k citations), Sensory Systems (601 citations), Cell Biology (305 citations), Pharmacology (114 citations) and Neurology (152 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, Xinjiang Cai, Michael G. Schrlau and Xīn Gào. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, The Journal of Cell Biology, Human Molecular Genetics and Cell Calcium.

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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