Samuel G. Farmer

17 total papers · 425 total citations
13 papers, 315 citations indexed

About

Samuel G. Farmer is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Samuel G. Farmer has authored 13 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ophthalmology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Samuel G. Farmer's work include Glaucoma and retinal disorders (3 papers), Retinal and Macular Surgery (2 papers) and Enzyme Production and Characterization (2 papers). Samuel G. Farmer is often cited by papers focused on Glaucoma and retinal disorders (3 papers), Retinal and Macular Surgery (2 papers) and Enzyme Production and Characterization (2 papers). Samuel G. Farmer collaborates with scholars based in United States. Samuel G. Farmer's co-authors include R.W. Rodieck, Margaret A. Koontz, Robert E. Kalina, Scott A. Beardsley, Philip A. Voglewede, Claudia M. Gohr, Charles E. Edmiston, Candace J. Krepel, James C. Folk and James L. Kinyoun and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Comparative Neurology and The Journal of Infectious Diseases.

In The Last Decade

Samuel G. Farmer

13 papers receiving 297 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel G. Farmer 142 108 79 52 43 13 315
Kevin K. Veverka 112 0.8× 98 0.9× 33 0.4× 19 0.4× 46 1.1× 14 292
Jameel Ahmed 52 0.4× 149 1.4× 92 1.2× 25 0.5× 54 1.3× 21 359
J. Michael Selbach 262 1.8× 61 0.6× 29 0.4× 30 0.6× 128 3.0× 17 343
Jessica Ackert 136 1.0× 145 1.3× 101 1.3× 54 1.0× 27 0.6× 16 289
Mitsuya Yasuda 53 0.4× 84 0.8× 41 0.5× 21 0.4× 22 0.5× 30 318
Thomas Kane 212 1.5× 190 1.8× 30 0.4× 26 0.5× 54 1.3× 21 338
Vani Maria Alves Corrêa 21 0.1× 89 0.8× 52 0.7× 32 0.6× 37 0.9× 12 332
Alexander E Salmon 213 1.5× 97 0.9× 27 0.3× 19 0.4× 147 3.4× 18 327
A. Stanworth 117 0.8× 42 0.4× 19 0.2× 88 1.7× 79 1.8× 21 313
Craig D. Lewis 44 0.3× 32 0.3× 24 0.3× 97 1.9× 42 1.0× 22 342

Countries citing papers authored by Samuel G. Farmer

Since Specialization
Citations

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

Fields of papers citing papers by Samuel G. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel G. Farmer. 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 Samuel G. Farmer. The network helps show where Samuel G. Farmer may publish in the future.

Co-authorship network of co-authors of Samuel G. Farmer

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

All Works

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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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