F. K. Sanders

69 total papers · 2.4k total citations
33 papers, 736 citations indexed

About

F. K. Sanders is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, F. K. Sanders has authored 33 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Genetics. Recurrent topics in F. K. Sanders's work include Viral Infections and Immunology Research (9 papers), Virus-based gene therapy research (8 papers) and Cytomegalovirus and herpesvirus research (7 papers). F. K. Sanders is often cited by papers focused on Viral Infections and Immunology Research (9 papers), Virus-based gene therapy research (8 papers) and Cytomegalovirus and herpesvirus research (7 papers). F. K. Sanders collaborates with scholars based in United Kingdom, United States and Mexico. F. K. Sanders's co-authors include Luc Montagnier, Janelle M. Hoskins, G. G. Meynell, J. Huppert, Ellen Borenfreund, Mathilde Krim, Yong Sung Choi, Aaron Bendich, Janet Smith and Stephen S. Sternberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Cancer.

In The Last Decade

F. K. Sanders

29 papers receiving 617 citations

Hit Papers

Replicative form of Encep... 1963 2026 1984 2005 1963 50 100 150

Author Peers

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

Author Last Decade Papers Cites
F. K. Sanders 317 131 119 107 98 33 736
J. Huppert 342 1.1× 61 0.5× 145 1.2× 103 1.0× 80 0.8× 57 646
R. Emanoil‐Ravier 241 0.8× 103 0.8× 110 0.9× 201 1.9× 68 0.7× 40 713
Jerome Schwartz 284 0.9× 120 0.9× 281 2.4× 110 1.0× 98 1.0× 29 665
Gema Gómez‐Mariano 289 0.9× 132 1.0× 80 0.7× 208 1.9× 147 1.5× 28 657
William Meinke 362 1.1× 58 0.4× 147 1.2× 197 1.8× 73 0.7× 31 809
Yao Sun 297 0.9× 237 1.8× 127 1.1× 41 0.4× 255 2.6× 23 804
Jennifer A. Corcoran 441 1.4× 66 0.5× 214 1.8× 233 2.2× 229 2.3× 31 841
Michael Lentz 295 0.9× 51 0.4× 234 2.0× 132 1.2× 56 0.6× 21 641
T Kurimura 262 0.8× 64 0.5× 187 1.6× 185 1.7× 191 1.9× 57 853
Hyung Suk Oh 263 0.8× 157 1.2× 220 1.8× 111 1.0× 153 1.6× 29 622

Countries citing papers authored by F. K. Sanders

Since Specialization
Citations

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

Fields of papers citing papers by F. K. Sanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. K. Sanders. 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 F. K. Sanders. The network helps show where F. K. Sanders may publish in the future.

Co-authorship network of co-authors of F. K. Sanders

This figure shows the co-authorship network connecting the top 25 collaborators of F. K. Sanders. A scholar is included among the top collaborators of F. K. Sanders 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 F. K. Sanders. F. K. Sanders 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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