Mark J. Wagner

3.2k total citations
54 papers, 2.1k citations indexed

About

Mark J. Wagner is a scholar working on Molecular Biology, Cognitive Neuroscience and Cell Biology. According to data from OpenAlex, Mark J. Wagner has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cognitive Neuroscience and 12 papers in Cell Biology. Recurrent topics in Mark J. Wagner's work include melanin and skin pigmentation (10 papers), Vestibular and auditory disorders (9 papers) and Neural dynamics and brain function (8 papers). Mark J. Wagner is often cited by papers focused on melanin and skin pigmentation (10 papers), Vestibular and auditory disorders (9 papers) and Neural dynamics and brain function (8 papers). Mark J. Wagner collaborates with scholars based in United States, United Kingdom and Belgium. Mark J. Wagner's co-authors include Liqun Luo, Mark J. Schnitzer, Tony Hyun Kim, Maurice A. Smith, Joan Savall, Jin Zhong Li, Yiyang Gong, John C. Baird, I G Rennie and S. Mac Neil and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mark J. Wagner

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Wagner United States	25	849	529	446	383	297	54	2.1k
Sara M. Lindsay United States	21	760 0.9×	910 1.7×	878 2.0×	207 0.5×	199 0.7×	34	2.5k
Jenelle L. Wallace United States	12	852 1.0×	934 1.8×	582 1.3×	259 0.7×	130 0.4×	17	2.4k
Daniel R. Berger United States	19	570 0.7×	803 1.5×	1.1k 2.4×	362 0.9×	134 0.5×	41	2.8k
Yongsoo Kim United States	25	651 0.8×	954 1.8×	711 1.6×	282 0.7×	94 0.3×	62	2.5k
William E. Allen United States	23	1.1k 1.3×	1.2k 2.3×	1.6k 3.6×	313 0.8×	151 0.5×	51	3.8k
Flavio Keller Italy	30	939 1.1×	1.4k 2.6×	984 2.2×	206 0.5×	255 0.9×	116	3.4k
Mazahir T. Hasan Germany	27	639 0.8×	1.2k 2.3×	1.9k 4.2×	291 0.8×	334 1.1×	44	3.9k
Ju Lu United States	23	627 0.7×	1.1k 2.1×	1.1k 2.4×	281 0.7×	265 0.9×	62	3.2k
Nicolas Renier France	23	552 0.7×	1.2k 2.2×	1.4k 3.2×	408 1.1×	357 1.2×	35	3.8k

Countries citing papers authored by Mark J. Wagner

Since Specialization

Citations

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

Fields of papers citing papers by Mark J. Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Wagner

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

All Works

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20 of 20 papers shown

Wagner, Mark J., William H. Clark, & Jason R. Franz. (2024). The aging Achilles tendon: model-predicted changes in calf muscle neuromechanics. Journal of Biomechanics. 178. 112440–112440. 1 indexed citations

Rudolph, Stephanie, Aleksandra Badura, Stefano Lutzu, et al.. (2023). Cognitive-Affective Functions of the Cerebellum. Journal of Neuroscience. 43(45). 7554–7564. 49 indexed citations

Wagner, Mark J., et al.. (2022). Identificación, clasificación y representación cartográfica de las depresiones kársticas en la Reserva de la Biósfera El Cielo, Tamaulipas, México. SHILAP Revista de lepidopterología. 1–10. 1 indexed citations

Shuster, S. Andrew, Mark J. Wagner, Jing Ren, et al.. (2021). The relationship between birth timing, circuit wiring, and physiological response properties of cerebellar granule cells. Proceedings of the National Academy of Sciences. 118(23). 16 indexed citations

Pederick, Daniel T., Jan H. Lui, Chuanyun Xu, et al.. (2021). Reciprocal repulsions instruct the precise assembly of parallel hippocampal networks. Science. 372(6546). 1068–1073. 42 indexed citations

Wagner, Mark J., Joan Savall, Oscar Hernandez, et al.. (2021). A neural circuit state change underlying skilled movements. Cell. 184(14). 3731–3747.e21. 47 indexed citations

Takeo, Yukari H., S. Andrew Shuster, David J. Luginbuhl, et al.. (2020). GluD2- and Cbln1-mediated competitive interactions shape the dendritic arbors of cerebellar Purkinje cells. Neuron. 109(4). 629–644.e8. 26 indexed citations

Wagner, Mark J. & Liqun Luo. (2019). Neocortex–Cerebellum Circuits for Cognitive Processing. Trends in Neurosciences. 43(1). 42–54. 99 indexed citations

Gong, Yiyang, Mark J. Wagner, Jin Zhong Li, & Mark J. Schnitzer. (2014). Imaging neural spiking in brain tissue using FRET-opsin protein voltage sensors. Nature Communications. 5(1). 3674–3674. 155 indexed citations

10.

Wagner, Mark J. & Maurice A. Smith. (2008). Shared Internal Models for Feedforward and Feedback Control. Journal of Neuroscience. 28(42). 10663–10673. 141 indexed citations

11.

Elliott, Richard, Marika Szabo, Mark J. Wagner, et al.. (2004). α-Melanocyte-Stimulating Hormone, MSH 11–13 KPV and Adrenocorticotropic Hormone Signalling in Human Keratinocyte Cells. Journal of Investigative Dermatology. 122(4). 1010–1019. 45 indexed citations

12.

Smith‐Thomas, Linda C., Clayton S. Spada, Le Shi, et al.. (2004). Latanoprost-induced pigmentation in human iridial melanocytes is fibroblast dependent. Experimental Eye Research. 78(5). 973–985. 10 indexed citations

13.

Eves, Paula C., John W. Haycock, Chris Layton, et al.. (2003). Anti-inflammatory and anti-invasive effects of α-melanocyte-stimulating hormone in human melanoma cells. British Journal of Cancer. 89(10). 2004–2015. 57 indexed citations

14.

Smith‐Thomas, Linda C., Manar Moustafa, Rebecca Dawson, et al.. (2001). Cellular and Hormonal Regulation of Pigmentation in Human Ocular Melanocytes. Pigment Cell Research. 14(4). 298–309. 21 indexed citations

15.

Elshaw, Shona R., Karen Sisley, Neil A. Cross, et al.. (2001). A comparison of ocular melanocyte and uveal melanoma cell invasion and the implication of α1β1, α4β1 and α6β1 integrins. British Journal of Ophthalmology. 85(6). 732–738. 35 indexed citations

16.

Eves, Paula C., et al.. (1999). A Comparative Study of the Effect of Pigment on Drug Toxicity in Human Choroidal Melanocytes and Retinal Pigment Epithelial Cells. Pigment Cell Research. 12(1). 22–35. 13 indexed citations

17.

Hedley, Susan J., et al.. (1997). The Influence of Extracellular Matrix Proteins on Cutaneous and Uveal Melanocytes. Pigment Cell Research. 10(1-2). 54–59. 13 indexed citations

18.

MacNeil, Sheila, Mark J. Wagner, & I G Rennie. (1994). Tamoxifen Inhibition of Ocular Melanoma Cell Attachment to Matrix Proteins. Pigment Cell Research. 7(4). 222–226. 8 indexed citations

19.

Neil, S. Mac, et al.. (1993). Inhibition of melanoma cell/matrix interaction by tamoxifen. Melanoma Research. 3(1). 67–74. 28 indexed citations

20.

Wagner, Mark J., et al.. (1992). Intracellular regulation of cell adhesion to extracellular matrix components in murine B16 melanoma cells. Melanoma Research. 2(5). 345–354. 13 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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