David D. McKemy

8.9k total citations · 2 hit papers
47 papers, 6.9k citations indexed

About

David D. McKemy is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, David D. McKemy has authored 47 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Sensory Systems, 28 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in David D. McKemy's work include Ion Channels and Receptors (35 papers), Neurobiology and Insect Physiology Research (24 papers) and Pain Mechanisms and Treatments (11 papers). David D. McKemy is often cited by papers focused on Ion Channels and Receptors (35 papers), Neurobiology and Insect Physiology Research (24 papers) and Pain Mechanisms and Treatments (11 papers). David D. McKemy collaborates with scholars based in United States, Australia and China. David D. McKemy's co-authors include David Julius, Werner Neuhausser, Sven‐Eric Jordt, Diana M. Bautista, Wendy Knowlton, Peter M. Zygmunt, Huai-hu Chuang, Ian D. Meng, Edward D. Högestätt and Richard L. Daniels and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David D. McKemy

47 papers receiving 6.8k citations

Hit Papers

Identification of a cold receptor reveals a general role ... 2002 2026 2010 2018 2002 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David D. McKemy United States 30 4.8k 2.5k 2.1k 1.4k 1.2k 47 6.9k
Andrea Peier United States 22 4.4k 0.9× 2.4k 1.0× 1.8k 0.9× 1.5k 1.1× 1.1k 0.9× 32 6.7k
Alison J. Reeve United Kingdom 20 3.7k 0.8× 2.3k 0.9× 2.2k 1.1× 1.3k 0.9× 934 0.8× 24 6.3k
Karel Talavera Belgium 41 4.4k 0.9× 1.9k 0.7× 1.4k 0.7× 1.9k 1.3× 1.5k 1.2× 99 6.8k
Gina M. Story United States 19 6.4k 1.3× 3.3k 1.3× 2.5k 1.2× 1.4k 1.0× 1.6k 1.3× 27 8.5k
Anne C. Hergarden United States 10 3.7k 0.8× 2.4k 1.0× 1.4k 0.7× 934 0.7× 949 0.8× 14 5.4k
David A. Andersson United Kingdom 30 6.1k 1.3× 3.1k 1.2× 2.9k 1.4× 1.7k 1.2× 1.4k 1.2× 45 9.6k
Samer R. Eid United States 9 4.1k 0.9× 1.8k 0.7× 1.7k 0.8× 811 0.6× 884 0.8× 10 5.2k
Joris Vriens Belgium 43 6.0k 1.3× 1.9k 0.7× 2.1k 1.0× 2.8k 2.0× 1.6k 1.3× 109 9.1k
Veena Viswanath United States 17 2.8k 0.6× 1.8k 0.7× 1.2k 0.6× 1.1k 0.8× 873 0.7× 23 5.1k
Rudi Vennekens Belgium 48 5.4k 1.1× 1.7k 0.7× 1.2k 0.6× 3.2k 2.3× 2.0k 1.7× 106 8.0k

Countries citing papers authored by David D. McKemy

Since Specialization
Citations

This map shows the geographic impact of David D. McKemy'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 David D. McKemy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. McKemy more than expected).

Fields of papers citing papers by David D. McKemy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David D. McKemy. 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 David D. McKemy. The network helps show where David D. McKemy may publish in the future.

Co-authorship network of co-authors of David D. McKemy

This figure shows the co-authorship network connecting the top 25 collaborators of David D. McKemy. A scholar is included among the top collaborators of David D. McKemy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David D. McKemy. David D. McKemy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Ramakrishna, Chandran, Paul Ruegger, Richard W. Ermel, et al.. (2019). Dominant Role of the Gut Microbiota in Chemotherapy Induced Neuropathic Pain. Scientific Reports. 9(1). 20324–20324. 82 indexed citations
5.
McKemy, David D., et al.. (2015). The molecular and cellular basis of thermosensation in mammals. Current Opinion in Neurobiology. 34. 14–19. 65 indexed citations
6.
Kim, Yun‐Sook, Jun Hong Park, Su Jung Choi, et al.. (2014). Central Connectivity of Transient Receptor Potential Melastatin 8-Expressing Axons in the Brain Stem and Spinal Dorsal Horn. PLoS ONE. 9(4). e94080–e94080. 18 indexed citations
7.
Ramachandran, Rithwik, Eric Hyun, Liena Zhao, et al.. (2013). TRPM8 activation attenuates inflammatory responses in mouse models of colitis. Proceedings of the National Academy of Sciences. 110(18). 7476–7481. 141 indexed citations
8.
Knowlton, Wendy, et al.. (2013). A Sensory-Labeled Line for Cold: TRPM8-Expressing Sensory Neurons Define the Cellular Basis for Cold, Cold Pain, and Cooling-Mediated Analgesia. Journal of Neuroscience. 33(7). 2837–2848. 218 indexed citations
9.
Knowlton, Wendy, et al.. (2013). Artemin, a Glial Cell Line-Derived Neurotrophic Factor Family Member, Induces TRPM8-Dependent Cold Pain. Journal of Neuroscience. 33(30). 12543–12552. 84 indexed citations
10.
Knowlton, Wendy, et al.. (2011). Pharmacological Blockade of TRPM8 Ion Channels Alters Cold and Cold Pain Responses in Mice. PLoS ONE. 6(9). e25894–e25894. 160 indexed citations
11.
Takashima, Yoshio, Le Ma, & David D. McKemy. (2010). The development of peripheral cold neural circuits based on TRPM8 expression. Neuroscience. 169(2). 828–842. 46 indexed citations
12.
Knowlton, Wendy & David D. McKemy. (2010). TRPM8: From Cold to Cancer, Peppermint to Pain. Current Pharmaceutical Biotechnology. 12(1). 68–77. 58 indexed citations
13.
Carr, Richard W., Svetlana Pianova, David D. McKemy, & James A. Brock. (2009). Action potential initiation in the peripheral terminals of cold‐sensitive neurones innervating the guinea‐pig cornea. The Journal of Physiology. 587(6). 1249–1264. 29 indexed citations
14.
Chang, Rui B., et al.. (2008). The Nociceptor Ion Channel TRPA1 Is Potentiated and Inactivated by Permeating Calcium Ions. Journal of Biological Chemistry. 283(47). 32691–32703. 227 indexed citations
15.
Daniels, Richard L., Yoshio Takashima, & David D. McKemy. (2008). Activity of the Neuronal Cold Sensor TRPM8 Is Regulated by Phospholipase C via the Phospholipid Phosphoinositol 4,5-Bisphosphate. Journal of Biological Chemistry. 284(3). 1570–1582. 121 indexed citations
16.
Takashima, Yoshio, Richard L. Daniels, Wendy Knowlton, et al.. (2007). Diversity in the Neural Circuitry of Cold Sensing Revealed by Genetic Axonal Labeling of Transient Receptor Potential Melastatin 8 Neurons. Journal of Neuroscience. 27(51). 14147–14157. 164 indexed citations
17.
Jordt, Sven‐Eric, David D. McKemy, & David Julius. (2003). Lessons from peppers and peppermint: the molecular logic of thermosensation. Current Opinion in Neurobiology. 13(4). 487–492. 260 indexed citations
18.
McKemy, David D., et al.. (2000). Concentrations of caffeine greater than 20 mM increase the indo-1 fluorescence ratio in a Ca2+-independent manner. Cell Calcium. 27(2). 117–124. 13 indexed citations
19.
Airey, Judith A., Thomas J. Deerinck, Mark H. Ellisman, et al.. (1993). Crooked Neck Dwarf (cn) mutant chicken skeletal muscle cells in low density primary cultures fail to express normal α ryanodine receptor and exhibit a partial mutant phenotype. Developmental Dynamics. 197(3). 189–202. 30 indexed citations
20.
Airey, Judith A., Claudia F. Beck, Yogarany Chelliah, et al.. (1993). Failure to make normal α ryanodine receptor is an early event associated with the Crooked Neck Dwarf (cn) mutation in chicken. Developmental Dynamics. 197(3). 169–188. 39 indexed citations

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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