Susan C. Benes

1.0k total citations
24 papers, 789 citations indexed

About

Susan C. Benes is a scholar working on Ophthalmology, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Susan C. Benes has authored 24 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ophthalmology, 7 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Susan C. Benes's work include Visual perception and processing mechanisms (7 papers), Glaucoma and retinal disorders (6 papers) and Retinal and Optic Conditions (4 papers). Susan C. Benes is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Glaucoma and retinal disorders (6 papers) and Retinal and Optic Conditions (4 papers). Susan C. Benes collaborates with scholars based in United States, Sweden and Canada. Susan C. Benes's co-authors include Algis J. Vingrys, Scott S. Grigsby, P. Ewen King‐Smith, Steven Levy, JeffreyN Weiss, Jeffrey N. Weiss, Stephen J. Dain, Kottil Rammohan, David M. Meisler and Robert C. Sergott and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Annals of Neurology.

In The Last Decade

Susan C. Benes

24 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan C. Benes United States 14 328 299 159 128 120 24 789
Werner Spileers Belgium 15 372 1.1× 544 1.8× 330 2.1× 219 1.7× 85 0.7× 66 1.1k
G. Heron United Kingdom 18 498 1.5× 425 1.4× 306 1.9× 77 0.6× 510 4.3× 33 983
MiYoung Kwon United States 20 639 1.9× 423 1.4× 293 1.8× 93 0.7× 398 3.3× 84 1.1k
Osamu Katsumi United States 19 346 1.1× 500 1.7× 349 2.2× 268 2.1× 341 2.8× 77 960
Catherine Suttle Australia 18 498 1.5× 368 1.2× 192 1.2× 142 1.1× 462 3.9× 66 1.1k
Jeff Rabin United States 15 458 1.4× 382 1.3× 296 1.9× 155 1.2× 411 3.4× 69 981
Janis M. White United States 12 546 1.7× 253 0.8× 168 1.1× 91 0.7× 291 2.4× 18 771
Christoph Best Germany 19 151 0.5× 95 0.3× 30 0.2× 114 0.9× 33 0.3× 36 868
Jing Xiang China 19 484 1.5× 90 0.3× 136 0.9× 154 1.2× 111 0.9× 57 1.1k
John Siderov United Kingdom 15 363 1.1× 220 0.7× 144 0.9× 48 0.4× 330 2.8× 46 632

Countries citing papers authored by Susan C. Benes

Since Specialization
Citations

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

Fields of papers citing papers by Susan C. Benes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan C. Benes. 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 Susan C. Benes. The network helps show where Susan C. Benes may publish in the future.

Co-authorship network of co-authors of Susan C. Benes

This figure shows the co-authorship network connecting the top 25 collaborators of Susan C. Benes. A scholar is included among the top collaborators of Susan C. Benes 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 Susan C. Benes. Susan C. Benes 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.
Hermes, Sam M., et al.. (2020). Mortality among patients with idiopathic intracranial hypertension enrolled in the IH Registry. Neurology. 95(7). e921–e929. 13 indexed citations
2.
Weiss, Jeffrey N., Steven Levy, & Susan C. Benes. (2017). Stem Cell Ophthalmology Treatment Study: bone marrow derived stem cells in the treatment of non-arteritic ischemic optic neuropathy (NAION). PubMed. 4. 94–94. 35 indexed citations
3.
Cebulla, Colleen M., et al.. (2016). Breaking bad news: A communication competency for ophthalmology training programs. Survey of Ophthalmology. 61(6). 791–798. 14 indexed citations
4.
Cebulla, Colleen M., et al.. (2014). Breaking Bad News: Evaluating the Impact of a Multidisciplinary Training Program for Ophthalmology Residents. 55(13). 5580–5580. 1 indexed citations
5.
DeMyer, William, Alberto J. Espay, Laurence E. Walsh, Susan C. Benes, & Mary Edwards‐Brown. (2003). Vermian Hypoplasia and Arrested Cerebral Myelination in Two Sisters: Variant of Joubert's Syndrome or a New Syndrome?. Journal of Child Neurology. 18(11). 755–762. 1 indexed citations
6.
Benes, Susan C. & Nathan Long. (1999). Gradual Painless Visual Loss: Chronic Optic Neuropathies. Clinics in Geriatric Medicine. 15(1). 47–86. 1 indexed citations
7.
Bednarczuk, Tomasz, Susan C. Benes, Brian A.C. Ackrell, et al.. (1998). Eye Muscle Antibodies in Patients with Ocular Myasthenia Gravis: Possible Mechanism for Eye Muscle Inflammation in Acetylcholine-Receptor Antibody-Negative Patients. Clinical Immunology and Immunopathology. 87(3). 276–281. 19 indexed citations
8.
Pierce, Gilbert E., et al.. (1997). Comparison of red-green, blue-yellow and achromatic losses in glaucoma. Vision Research. 37(16). 2295–2301. 28 indexed citations
9.
Grigsby, Scott S., et al.. (1994). Efficient and unbiased modifications of the QUEST threshold method: Theory, simulations, experimental evaluation and practical implementation. Vision Research. 34(7). 885–912. 356 indexed citations
10.
VandeCreek, Larry, et al.. (1993). Assessment of Pastoral Needs among Medical Outpatients. Journal of Pastoral Care. 47(1). 44–53. 6 indexed citations
11.
Grigsby, Scott S., Algis J. Vingrys, Susan C. Benes, & P. Ewen King‐Smith. (1991). Correlation of chromatic, spatial, and temporal sensitivity in optic nerve disease.. PubMed. 32(13). 3252–62. 30 indexed citations
12.
Benes, Susan C., et al.. (1991). Upgaze intraocular pressure changes and strabismus in Graves' ophthalmopathy.. PubMed. 11(3). 162–5. 28 indexed citations
13.
Dain, Stephen J., Kottil Rammohan, Susan C. Benes, & P. Ewen King‐Smith. (1990). Chromatic, spatial, and temporal losses of sensitivity in multiple sclerosis.. PubMed. 31(3). 548–58. 31 indexed citations
14.
Lefvert, Ann‐Kari, et al.. (1990). Incidence and reactivity patterns of skeletal and heart (SH) reactive autoantibodies in the sera of patients with myasthenia gravis. Journal of Neuroimmunology. 26(2). 147–157. 8 indexed citations
15.
Vingrys, Algis J., P. Ewen King‐Smith, Susan C. Benes, & Paul A. Weber. (1988). The Value of Color Perimetry for detecting Glaucomatous Field Losses.. ThC3–ThC3. 1 indexed citations
16.
Mondino, Bartly J., John Hofbauer, David M. Meisler, et al.. (1988). Corneal Edema Related to Accidental Hibiclens Exposure. American Journal of Ophthalmology. 106(2). 210–215. 43 indexed citations
17.
Moster, Mark L., Norman J. Schatz, Peter J. Savino, et al.. (1988). Alternating skew on lateral gaze (Bilateral abducting hypertropia). Annals of Neurology. 23(2). 190–192. 42 indexed citations
18.
Vingrys, Algis J., Susan C. Benes, & P. Ewen King‐Smith. (1988). Detecting retinal lesions with automated perimetry. Clinical and Experimental Optometry. 71(1). 10–20. 7 indexed citations
19.
King‐Smith, P. Ewen, Algis J. Vingrys, & Susan C. Benes. (1987). Visual thresholds measured with color video monitors. Color Research & Application. 12(2). 73–80. 25 indexed citations
20.
Dain, Stephen J., et al.. (1986). Red-green mixture thresholds in congenital and acquired color defects. Vision Research. 26(7). 1083–1097. 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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