Most cited papers from Algomedix (United States)
What are the most cited papers from Algomedix (United States)?
The most cited paper from Algomedix (United States) is "Activation of TRPA1 channels by fenamate nonsteroidal anti-inflammatory drugs" (Hongzhen Hu, Jinbin Tian, Yingmin Zhu et al., 2009), with 140 citations. Next come "Cell Plasticity in Lung Injury and Repair: Report from an NHLBI Workshop, April 19–20, 2010" (39) and "Activation of TRPA1 channels by Fenamate NSAIDs" (1).
Showing 6 of 6 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Activation of TRPA1 channels by fenamate nonsteroidal anti-inflammatory drugs Hongzhen Hu, Jinbin Tian, Yingmin Zhu et al. · Pflügers Archiv - European Journal of Physiology | 3 Nov 2009 | 140 |
| 2 | Cell Plasticity in Lung Injury and Repair: Report from an NHLBI Workshop, April 19–20, 2010 Zea Borok, Jeffrey A. Whitsett, Peter B. Bitterman et al. · Proceedings of the American Thoracic Society | Jun 2011 | 39 |
| 3 | Activation of TRPA1 channels by Fenamate NSAIDs Jeffrey M. Herz, Hongzhen Hu, Jinbin Tian et al. · The FASEB Journal | Apr 2010 | 1 |
| 4 | Supporting US public health experts Ron Cohen et al. · Nature Biotechnology | 25 Nov 2020 | 0 |
| 5 | A Novel Class of Potent, Allosteric TRPA1 Antagonists Reverse Hyperalgesia in Multiple Rat Models of Neuropathic Pain Jeffery M Herz, Edward Kesicki, Jinbin Tian et al. · The FASEB Journal | Apr 2016 | 0 |
| 6 | A novel class of allosteric ligands modulating TRPA1: discovery of a switch in agonist‐antagonist function (1061.7) J M Herz, Yingmin Zhu, Yungang Lu et al. · The FASEB Journal | Apr 2014 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.