Jeffrey J. Lawson

637 total citations
7 papers, 504 citations indexed

About

Jeffrey J. Lawson is a scholar working on Sensory Systems, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeffrey J. Lawson has authored 7 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 5 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeffrey J. Lawson's work include Pain Mechanisms and Treatments (5 papers), Ion Channels and Receptors (5 papers) and Tactile and Sensory Interactions (1 paper). Jeffrey J. Lawson is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Ion Channels and Receptors (5 papers) and Tactile and Sensory Interactions (1 paper). Jeffrey J. Lawson collaborates with scholars based in United States, United Kingdom and Australia. Jeffrey J. Lawson's co-authors include H. Richard Koerber, Brian M. Davis, C. Jeffery Woodbury, Sabrina L. McIlwrath, Kathryn M. Albers, Collene E. Anderson, Michael J. Caterina, Shuying Wang, Melissa Zwick and Martin Koltzenburg and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and European Journal of Neuroscience.

In The Last Decade

Jeffrey J. Lawson

7 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey J. Lawson United States 7 343 276 237 89 40 7 504
Tal Hoffmann Germany 11 259 0.8× 107 0.4× 172 0.7× 193 2.2× 27 0.7× 19 483
Peihan Orestes United States 12 360 1.0× 171 0.6× 280 1.2× 309 3.5× 33 0.8× 12 684
U. Petsche Austria 7 312 0.9× 138 0.5× 333 1.4× 188 2.1× 15 0.4× 7 568
Michael I. Nemenov United States 9 256 0.7× 117 0.4× 129 0.5× 58 0.7× 28 0.7× 10 353
Gregory L. Hargett United States 9 688 2.0× 109 0.4× 486 2.1× 293 3.3× 33 0.8× 12 907
Dingge Li United States 13 172 0.5× 69 0.3× 230 1.0× 163 1.8× 20 0.5× 16 474
Haili Pan China 10 334 1.0× 67 0.2× 190 0.8× 124 1.4× 63 1.6× 14 594
Teréz Bagoly Hungary 14 249 0.7× 81 0.3× 335 1.4× 126 1.4× 17 0.4× 22 766
Bassam Dib France 15 218 0.6× 62 0.2× 179 0.8× 69 0.8× 8 0.2× 35 508
Tuan Trang Canada 6 293 0.9× 69 0.3× 176 0.7× 260 2.9× 13 0.3× 6 512

Countries citing papers authored by Jeffrey J. Lawson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Lawson. 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 Jeffrey J. Lawson. The network helps show where Jeffrey J. Lawson may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Lawson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Lawson. A scholar is included among the top collaborators of Jeffrey J. Lawson 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 Jeffrey J. Lawson. Jeffrey J. Lawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Koerber, H. Richard, Sabrina L. McIlwrath, Jeffrey J. Lawson, et al.. (2010). Cutaneous C-polymodal Fibers Lacking TRPV1 are Sensitized to Heat following Inflammation, but Fail to Drive Heat Hyperalgesia in the Absence of TPV1 Containing C-heat Fibers. Molecular Pain. 6. 33 indexed citations
2.
Jankowski, Michael P., Jeffrey J. Lawson, Sabrina L. McIlwrath, et al.. (2009). Sensitization of Cutaneous Nociceptors after Nerve Transection and Regeneration: Possible Role of Target-Derived Neurotrophic Factor Signaling. Journal of Neuroscience. 29(6). 1636–1647. 69 indexed citations
3.
Lawson, Jeffrey J., Sabrina L. McIlwrath, C. Jeffery Woodbury, Brian M. Davis, & H. Richard Koerber. (2008). TRPV1 Unlike TRPV2 Is Restricted to a Subset of Mechanically Insensitive Cutaneous Nociceptors Responding to Heat. Journal of Pain. 9(4). 298–308. 123 indexed citations
4.
McIlwrath, Sabrina L., Jeffrey J. Lawson, Collene E. Anderson, Kathryn M. Albers, & H. Richard Koerber. (2007). Overexpression of neurotrophin‐3 enhances the mechanical response properties of slowly adapting type 1 afferents and myelinated nociceptors. European Journal of Neuroscience. 26(7). 1801–1812. 46 indexed citations
5.
Koerber, H. Richard, Károly Mirnics, & Jeffrey J. Lawson. (2006). Synaptic plasticity in the adult spinal dorsal horn: The appearance of new functional connections following peripheral nerve regeneration. Experimental Neurology. 200(2). 468–479. 17 indexed citations
6.
Woodbury, C. Jeffery, Melissa Zwick, Shuying Wang, et al.. (2004). Nociceptors Lacking TRPV1 and TRPV2 Have Normal Heat Responses. Journal of Neuroscience. 24(28). 6410–6415. 208 indexed citations
7.
Brown, Paul, et al.. (1998). Dorsal Horn Spatial Representation of Simple Cutaneous Stimuli. Journal of Neurophysiology. 79(2). 983–998. 8 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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