Kevin Shreder

53 total papers · 1.3k total citations
40 papers, 1.0k citations indexed

About

Kevin Shreder is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Kevin Shreder has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Organic Chemistry and 7 papers in Oncology. Recurrent topics in Kevin Shreder's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Neuropeptides and Animal Physiology (5 papers). Kevin Shreder is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Neuropeptides and Animal Physiology (5 papers). Kevin Shreder collaborates with scholars based in United States, Japan and United Kingdom. Kevin Shreder's co-authors include Jonathan L. Sessler, Vladimı́r Král, Brent L. Iverson, Yongsheng Liu, Jonathan S. Rosenblum, Maciej Adamczyk, Douglas K. Ferris, Hiroyuki Furuta, Vincent Lynch and Murray Goodman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Medicinal Chemistry.

In The Last Decade

Kevin Shreder

39 papers receiving 995 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Shreder 587 329 243 223 145 40 1.0k
Miguel Cortijo 503 0.9× 252 0.8× 237 1.0× 193 0.9× 225 1.6× 70 1.2k
Ben Askew 465 0.8× 441 1.3× 169 0.7× 361 1.6× 121 0.8× 29 1.1k
Karl A. Koehler 692 1.2× 150 0.5× 176 0.7× 229 1.0× 163 1.1× 72 1.2k
Juan A. González‐Vera 417 0.7× 277 0.8× 211 0.9× 179 0.8× 64 0.4× 50 831
Jeff Kao 598 1.0× 230 0.7× 233 1.0× 120 0.5× 60 0.4× 40 1.2k
Edward R. Birnbaum 488 0.8× 100 0.3× 397 1.6× 221 1.0× 105 0.7× 36 1.1k
Zsuzsa Májer 432 0.7× 204 0.6× 141 0.6× 145 0.7× 65 0.4× 71 888
Marina I. Nelen 488 0.8× 471 1.4× 259 1.1× 198 0.9× 95 0.7× 27 1.2k
Cliff I. Stains 771 1.3× 142 0.4× 232 1.0× 174 0.8× 60 0.4× 52 1.2k
Frank Büttner 517 0.9× 163 0.5× 76 0.3× 223 1.0× 131 0.9× 51 1.1k

Countries citing papers authored by Kevin Shreder

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Shreder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Shreder

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Shreder. A scholar is included among the top collaborators of Kevin Shreder 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 Kevin Shreder. Kevin Shreder 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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2026