Tessily A. Mays

440 total citations
9 papers, 357 citations indexed

About

Tessily A. Mays is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Tessily A. Mays has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Tessily A. Mays's work include Barrier Structure and Function Studies (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Muscle Physiology and Disorders (3 papers). Tessily A. Mays is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Muscle Physiology and Disorders (3 papers). Tessily A. Mays collaborates with scholars based in United States, United Kingdom and Belgium. Tessily A. Mays's co-authors include Jill A. Rafael‐Fortney, Paul M.L. Janssen, Benjamin D. Canan, Ying Xu, Dawn A. Delfín, Kevin E. Schill, Tam Tran, Subha V. Raman, Jason D. Murray and Christopher Martin and has published in prestigious journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Cellular Physiology.

In The Last Decade

Tessily A. Mays

9 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tessily A. Mays United States	8	279	134	57	51	45	9	357
Misako Kaido Japan	13	369 1.3×	109 0.8×	105 1.8×	92 1.8×	39 0.9×	31	500
C. Scotton Italy	14	443 1.6×	89 0.7×	84 1.5×	54 1.1×	60 1.3×	20	541
Mirko Vukcevic Switzerland	13	296 1.1×	124 0.9×	93 1.6×	56 1.1×	42 0.9×	17	462
Vladimir Martinov Norway	11	246 0.9×	62 0.5×	65 1.1×	41 0.8×	48 1.1×	13	373
Hiroaki Oniki Japan	13	351 1.3×	64 0.5×	47 0.8×	122 2.4×	76 1.7×	34	429
F. Tomé France	11	507 1.8×	99 0.7×	85 1.5×	83 1.6×	59 1.3×	15	584
Luca Chiveri Italy	9	291 1.0×	61 0.5×	61 1.1×	68 1.3×	41 0.9×	13	540
Ziad Rifai United States	8	232 0.8×	42 0.3×	66 1.2×	79 1.5×	37 0.8×	9	361
Simona Brajkovic Italy	8	358 1.3×	33 0.2×	62 1.1×	67 1.3×	23 0.5×	11	468
Davi A. G. Mázala United States	15	461 1.7×	56 0.4×	73 1.3×	142 2.8×	71 1.6×	21	556

Countries citing papers authored by Tessily A. Mays

Since Specialization

Citations

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

Fields of papers citing papers by Tessily A. Mays

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tessily A. Mays

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

All Works

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9 of 9 papers shown

Delfín, Dawn A., Ying Xu, Kevin E. Schill, et al.. (2012). Sustaining Cardiac Claudin-5 Levels Prevents Functional Hallmarks of Cardiomyopathy in a Muscular Dystrophy Mouse Model. Molecular Therapy. 20(7). 1378–1383. 22 indexed citations

Rafael‐Fortney, Jill A., Kevin E. Schill, Christopher Martin, et al.. (2011). Early Treatment With Lisinopril and Spironolactone Preserves Cardiac and Skeletal Muscle in Duchenne Muscular Dystrophy Mice. Circulation. 124(5). 582–588. 110 indexed citations

Mays, Tessily A., et al.. (2009). Glutamate receptors localize postsynaptically at neuromuscular junctions in mice. Muscle & Nerve. 39(3). 343–349. 36 indexed citations

Mays, Tessily A., et al.. (2008). Truncated CASK does not alter skeletal muscle or protein interactors. Muscle & Nerve. 38(3). 1116–1127. 1 indexed citations

Mays, Tessily A., Philip F. Binkley, Amit Doshi, et al.. (2008). Claudin-5 levels are reduced in human end-stage cardiomyopathy. Journal of Molecular and Cellular Cardiology. 45(1). 81–87. 31 indexed citations

Mays, Tessily A., et al.. (2005). CASK localizes to nuclei in developing skeletal muscle and motor neuron culture models and is agrin‐independent. Journal of Cellular Physiology. 206(1). 196–202. 13 indexed citations

Janssen, Paul M.L., et al.. (2005). Utrophin deficiency worsens cardiac contractile dysfunction present in dystrophin-deficient mdx mice. American Journal of Physiology-Heart and Circulatory Physiology. 289(6). H2373–H2378. 88 indexed citations

Sanford, J. C., et al.. (2005). Claudin-5 localizes to the lateral membranes of cardiomyocytes and is altered in utrophin/dystrophin-deficient cardiomyopathic mice. Journal of Molecular and Cellular Cardiology. 38(2). 323–332. 36 indexed citations

Mays, Tessily A., et al.. (2004). CASK and Dlg form a PDZ protein complex at the mammalian neuromuscular junction. Muscle & Nerve. 30(2). 164–171. 20 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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