Ellen A. Lumpkin

7.0k total citations · 3 hit papers
69 papers, 5.1k citations indexed

About

Ellen A. Lumpkin is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ellen A. Lumpkin has authored 69 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Sensory Systems and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ellen A. Lumpkin's work include Ion channel regulation and function (18 papers), Polyomavirus and related diseases (13 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). Ellen A. Lumpkin is often cited by papers focused on Ion channel regulation and function (18 papers), Polyomavirus and related diseases (13 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). Ellen A. Lumpkin collaborates with scholars based in United States, Sweden and Switzerland. Ellen A. Lumpkin's co-authors include Michael J. Caterina, Yoshichika Baba, A. J. Hudspeth, Kara L. Marshall, Aislyn M. Nelson, Ardem Patapoutian, Scott A. Wellnitz, Gregory J. Gerling, Sanjeev S. Ranade and Henry Haeberle and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ellen A. Lumpkin

68 papers receiving 5.1k citations

Hit Papers

Mechanisms of sensory transduction in the skin 2007 2026 2013 2019 2007 2014 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen A. Lumpkin United States 35 1.8k 1.4k 1.4k 1.0k 687 69 5.1k
Stefan Heller United States 47 3.5k 2.0× 5.1k 3.5× 676 0.5× 1.1k 1.1× 930 1.4× 163 8.1k
José A. Vega Spain 39 2.2k 1.2× 490 0.3× 1.1k 0.8× 1.6k 1.6× 274 0.4× 266 6.3k
Frank L. Rice United States 48 1.5k 0.9× 1.0k 0.7× 2.5k 1.8× 3.2k 3.2× 1.2k 1.8× 100 7.1k
Juichi Ito Japan 48 1.5k 0.8× 3.2k 2.2× 1.2k 0.9× 555 0.5× 1.4k 2.1× 384 8.7k
Allen F. Ryan United States 53 2.7k 1.6× 5.5k 3.8× 510 0.4× 1.4k 1.4× 2.5k 3.6× 331 11.5k
Stephen D. Liberles United States 41 1.6k 0.9× 2.3k 1.6× 1.4k 1.0× 2.2k 2.1× 509 0.7× 55 6.8k
Linda Madisen United States 27 4.1k 2.3× 564 0.4× 646 0.5× 2.5k 2.4× 1.3k 1.9× 40 8.7k
Fan Wang United States 49 3.1k 1.8× 2.7k 1.8× 1.3k 0.9× 4.4k 4.3× 1.5k 2.2× 138 9.8k
Bertrand Coste France 30 4.4k 2.5× 1.3k 0.9× 5.3k 3.8× 1.2k 1.2× 207 0.3× 47 8.0k
Seung Wook Oh United States 15 3.3k 1.9× 337 0.2× 629 0.4× 1.9k 1.9× 1.0k 1.5× 32 6.8k

Countries citing papers authored by Ellen A. Lumpkin

Since Specialization
Citations

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

Fields of papers citing papers by Ellen A. Lumpkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen A. Lumpkin. 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 Ellen A. Lumpkin. The network helps show where Ellen A. Lumpkin may publish in the future.

Co-authorship network of co-authors of Ellen A. Lumpkin

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen A. Lumpkin. A scholar is included among the top collaborators of Ellen A. Lumpkin 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 Ellen A. Lumpkin. Ellen A. Lumpkin 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
1.
Lumpkin, Ellen A., et al.. (2025). Itch. Current Biology. 35(2). R51–R57.
2.
Tong, Chi‐Kun, Yalda Moayedi, & Ellen A. Lumpkin. (2024). Merkel cells and keratinocytes in oral mucosa are activated by mechanical stimulation. Physiological Reports. 12(2). e15826–e15826. 3 indexed citations
3.
McIntyre, Sarah, Steven C. Hauser, Rebecca Boehme, et al.. (2022). The Language of Social Touch Is Intuitive and Quantifiable. Psychological Science. 33(9). 1477–1494. 37 indexed citations
4.
Moayedi, Yalda, et al.. (2022). Localization of TRP Channels in Healthy Oral Mucosa from Human Donors. eNeuro. 9(6). ENEURO.0328–21.2022. 8 indexed citations
5.
Moayedi, Yalda, et al.. (2018). Somatosensory innervation of the oral mucosa of adult and aging mice. Scientific Reports. 8(1). 9975–9975. 61 indexed citations
6.
Tong, Chi‐Kun, et al.. (2018). Focused Ultrasound Evoked Responses in Dorsal Root Ganglion Neurons (DRG) and HEK293 Cells. Biophysical Journal. 114(3). 673a–673a. 2 indexed citations
7.
Marshall, Kara L., et al.. (2016). Touch Receptors Undergo Rapid Remodeling in Healthy Skin. Cell Reports. 17(7). 1719–1727. 22 indexed citations
8.
Greenberg, Steven, et al.. (2016). 524 Antitumor activity of camphor oil in non-melanoma skin cancer and its effects on keratinocyte homeostasis. Journal of Investigative Dermatology. 136(5). S93–S93. 1 indexed citations
9.
Walsh, Carolyn M., Diana M. Bautista, & Ellen A. Lumpkin. (2015). Mammalian touch catches up. Current Opinion in Neurobiology. 34. 133–139. 27 indexed citations
10.
Maksimovic, Srdjan, Masashi Nakatani, Yoshichika Baba, et al.. (2014). Epidermal Merkel cells are mechanosensory cells that tune mammalian touch receptors. Nature. 509(7502). 617–621. 405 indexed citations breakdown →
11.
Nakatani, Masashi, Srdjan Maksimovic, Yoshichika Baba, & Ellen A. Lumpkin. (2014). Mechanotransduction in epidermal Merkel cells. Pflügers Archiv - European Journal of Physiology. 467(1). 101–108. 43 indexed citations
12.
Wilson, Sarah R., Aislyn M. Nelson, Lyn Batia, et al.. (2013). The Ion Channel TRPA1 Is Required for Chronic Itch. Journal of Neuroscience. 33(22). 9283–9294. 171 indexed citations
13.
Bautista, Diana M. & Ellen A. Lumpkin. (2011). Perspectives on: Information and coding in mammalian sensory physiology. The Journal of General Physiology. 138(6). 653–653. 2 indexed citations
14.
Maricich, Stephen M., Scott A. Wellnitz, Aislyn M. Nelson, et al.. (2009). Merkel Cells Are Essential for Light-Touch Responses. Science. 324(5934). 1580–1582. 218 indexed citations
15.
Bautista, Diana M., et al.. (2008). Radial stretch reveals distinct populations of mechanosensitive mammalian somatosensory neurons. Proceedings of the National Academy of Sciences. 105(50). 20015–20020. 67 indexed citations
16.
Haeberle, Henry & Ellen A. Lumpkin. (2008). Merkel Cells in Somatosensation. Chemosensory Perception. 1(2). 110–118. 37 indexed citations
17.
Lumpkin, Ellen A. & Michael J. Caterina. (2007). Mechanisms of sensory transduction in the skin. Nature. 445(7130). 858–865. 621 indexed citations breakdown →
18.
Lumpkin, Ellen A., et al.. (1997). ATPase activity of myosin in hair bundles of the bullfrog's sacculus. Biophysical Journal. 72(1). 263–271. 20 indexed citations
19.
Lumpkin, Ellen A., et al.. (1993). Modulation of Murine Natural Killer Cell Cytotoxicity by Dietary Fish Oil, Corn Oil or Beef Tallow. 2(1). 43–53. 9 indexed citations
20.
McGlone, John J., et al.. (1993). Shipping stress and social status effects on pig performance, plasma cortisol, natural killer cell activity, and leukocyte numbers1. Journal of Animal Science. 71(4). 888–896. 163 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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