Sean M. Silverman

851 total citations
9 papers, 601 citations indexed

About

Sean M. Silverman is a scholar working on Ophthalmology, Molecular Biology and Neurology. According to data from OpenAlex, Sean M. Silverman has authored 9 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ophthalmology, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Sean M. Silverman's work include Retinal Diseases and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Glaucoma and retinal disorders (2 papers). Sean M. Silverman is often cited by papers focused on Retinal Diseases and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Glaucoma and retinal disorders (2 papers). Sean M. Silverman collaborates with scholars based in United States and China. Sean M. Silverman's co-authors include Wai T. Wong, Abbot F. Clark, Lian Zhao, Wenxin Ma, Robert J. Wordinger, Xu Wang, Rafael Villasmil, Byung Jin Kim, Juan Amaral and Maria M Campos and has published in prestigious journals such as The Journal of Experimental Medicine, eLife and Investigative Ophthalmology & Visual Science.

In The Last Decade

Sean M. Silverman

9 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean M. Silverman United States 7 351 301 270 109 68 9 601
Ruth Calvente Spain 13 253 0.7× 281 0.9× 520 1.9× 212 1.9× 57 0.8× 22 756
Nicolás Belforte Canada 12 306 0.9× 292 1.0× 121 0.4× 19 0.2× 108 1.6× 29 575
Matthew J. Gastinger United States 13 304 0.9× 373 1.2× 62 0.2× 68 0.6× 134 2.0× 15 649
K.E. Betts United States 5 194 0.6× 136 0.5× 77 0.3× 66 0.6× 164 2.4× 11 448
Heberto Quintero Canada 10 199 0.6× 274 0.9× 146 0.5× 16 0.1× 100 1.5× 15 544
Valeria Colafrancesco Italy 9 194 0.6× 210 0.7× 70 0.3× 29 0.3× 86 1.3× 10 457
N. Marsh‐Armstrong United States 4 180 0.5× 383 1.3× 88 0.3× 36 0.3× 49 0.7× 7 543
Kelly Ahern United States 8 241 0.7× 372 1.2× 33 0.1× 28 0.3× 63 0.9× 8 497
Russell J. Swan United States 13 203 0.6× 149 0.5× 262 1.0× 79 0.7× 170 2.5× 18 702
M. Nagaraju United States 5 620 1.8× 579 1.9× 159 0.6× 11 0.1× 110 1.6× 10 820

Countries citing papers authored by Sean M. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Sean M. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean M. Silverman. 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 Sean M. Silverman. The network helps show where Sean M. Silverman may publish in the future.

Co-authorship network of co-authors of Sean M. Silverman

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

All Works

9 of 9 papers shown
1.
Silverman, Sean M., et al.. (2024). Risk Reduction of Concussion in Athletes: Do Neck Size or Neck Strength Make a Difference?. American Journal of Physical Medicine & Rehabilitation. 103(7). 659–664. 2 indexed citations
2.
Silverman, Sean M., Wenxin Ma, Xu Wang, Lian Zhao, & Wai T. Wong. (2019). C3- and CR3-dependent microglial clearance protects photoreceptors in retinitis pigmentosa. The Journal of Experimental Medicine. 216(8). 1925–1943. 84 indexed citations
3.
Silverman, Sean M. & Wai T. Wong. (2019). Adaptive and Maladaptive Complement Activation in the Retina. Advances in experimental medicine and biology. 1185. 33–37. 3 indexed citations
4.
Ma, Wenxin, Sean M. Silverman, Lian Zhao, et al.. (2019). Absence of TGFβ signaling in retinal microglia induces retinal degeneration and exacerbates choroidal neovascularization. eLife. 8. 73 indexed citations
5.
Silverman, Sean M. & Wai T. Wong. (2018). Microglia in the Retina: Roles in Development, Maturity, and Disease. Annual Review of Vision Science. 4(1). 45–77. 234 indexed citations
6.
Fan, Ning, Sean M. Silverman, Yang Liu, et al.. (2017). Rapid repeatable in vivo detection of retinal reactive oxygen species. Experimental Eye Research. 161. 71–81. 17 indexed citations
7.
Silverman, Sean M., et al.. (2016). C1q propagates microglial activation and neurodegeneration in the visual axis following retinal ischemia/reperfusion injury. Molecular Neurodegeneration. 11(1). 24–24. 63 indexed citations
8.
Kim, Byung Jin, Sean M. Silverman, Yang Liu, et al.. (2016). In vitro and in vivo neuroprotective effects of cJun N-terminal kinase inhibitors on retinal ganglion cells. Molecular Neurodegeneration. 11(1). 30–30. 50 indexed citations
9.
Mao, Weiming, J. Cameron Millar, Sean M. Silverman, et al.. (2012). Existence of the Canonical Wnt Signaling Pathway in the Human Trabecular Meshwork. Investigative Ophthalmology & Visual Science. 53(11). 7043–7043. 75 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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