Shaun Reining

896 total citations
8 papers, 334 citations indexed

About

Shaun Reining is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Shaun Reining has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Shaun Reining's work include Photoreceptor and optogenetics research (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Barrier Structure and Function Studies (1 paper). Shaun Reining is often cited by papers focused on Photoreceptor and optogenetics research (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Barrier Structure and Function Studies (1 paper). Shaun Reining collaborates with scholars based in United States, Germany and United Kingdom. Shaun Reining's co-authors include Michael I. Kotlikoff, Jane C. Lee, Frank K. Lee, Robert Doran, Michael Hesse, Bernd K. Fleischmann, Sophy A. Jesty, Martin Breitbach, Michele A. Steffey and Alexander Yu. Nikitin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Science Advances.

In The Last Decade

Shaun Reining

8 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaun Reining United States	6	246	124	63	45	45	8	334
Mario Bustamante Chile	9	227 0.9×	32 0.3×	68 1.1×	28 0.6×	67 1.5×	23	419
Jong Hak Won United States	11	221 0.9×	103 0.8×	14 0.2×	50 1.1×	34 0.8×	26	366
Sean M. Stevens United States	7	307 1.2×	59 0.5×	51 0.8×	23 0.5×	23 0.5×	8	409
Diogo Paramos-de-Carvalho Portugal	8	143 0.6×	35 0.3×	17 0.3×	27 0.6×	95 2.1×	8	315
Belaïd Bouazza Algeria	9	285 1.2×	125 1.0×	17 0.3×	38 0.8×	99 2.2×	16	439
Saunder Bernes United States	14	316 1.3×	53 0.4×	54 0.9×	109 2.4×	21 0.5×	16	500
P. Benz Germany	7	177 0.7×	40 0.3×	29 0.5×	112 2.5×	23 0.5×	14	329
Jere Paavola Finland	12	496 2.0×	90 0.7×	249 4.0×	142 3.2×	30 0.7×	19	636
Brian L. Lin United States	15	300 1.2×	58 0.5×	161 2.6×	25 0.6×	43 1.0×	29	446
Florencia Giliberto Argentina	11	312 1.3×	29 0.2×	59 0.9×	39 0.9×	30 0.7×	28	409

Countries citing papers authored by Shaun Reining

Since Specialization

Citations

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

Fields of papers citing papers by Shaun Reining

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun Reining. 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 Shaun Reining. The network helps show where Shaun Reining may publish in the future.

Co-authorship network of co-authors of Shaun Reining

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

All Works

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8 of 8 papers shown

Lee, Frank K., Jane C. Lee, Bo Shui, et al.. (2021). Genetically engineered mice for combinatorial cardiovascular optobiology. eLife. 10. 9 indexed citations

Longden, Thomas A., Amreen Mughal, Grant W. Hennig, et al.. (2021). Local IP ₃ receptor–mediated Ca ²⁺ signals compound to direct blood flow in brain capillaries. Science Advances. 7(30). 61 indexed citations

Shui, Bo, Wei Zhao, Hui Liu, et al.. (2019). Central role of IP3R2-mediated Ca2+ oscillation in self-renewal of liver cancer stem cells elucidated by high-signal ER sensor. Cell Death and Disease. 10(6). 396–396. 24 indexed citations

Longden, Thomas A., Osama F. Harraz, Grant W. Hennig, et al.. (2019). Neural activity drives dynamic Ca2+ signals in capillary endothelial cells that shape local brain blood flow. The FASEB Journal. 33(S1). 3 indexed citations

Collier, Daniel M., Nuria Villalba, Adrian D. Bonev, et al.. (2019). Extracellular histones induce calcium signals in the endothelium of resistance-sized mesenteric arteries and cause loss of endothelium-dependent dilation. American Journal of Physiology-Heart and Circulatory Physiology. 316(6). H1309–H1322. 36 indexed citations

Shui, Bo, Jane C. Lee, Shaun Reining, Frank K. Lee, & Michael I. Kotlikoff. (2014). Optogenetic sensors and effectors: CHROMusâ€”the Cornell Heart Lung Blood Institute Resource for Optogenetic Mouse Signaling. Frontiers in Physiology. 5. 428–428. 23 indexed citations

Jesty, Sophy A., Michele A. Steffey, Frank K. Lee, et al.. (2012). c-kit ⁺ precursors support postinfarction myogenesis in the neonatal, but not adult, heart. Proceedings of the National Academy of Sciences. 109(33). 13380–13385. 177 indexed citations

Tallini, Yvonne N., et al.. (2006). Cyclosporin Inhibits Cardiomegaly in the Conditional, Cardiac GCaMP2 Mice. The FASEB Journal. 20(5). 1 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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