Jake L. Rafferty

21 total papers · 972 total citations
17 papers, 852 citations indexed

About

Jake L. Rafferty is a scholar working on Spectroscopy, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Jake L. Rafferty has authored 17 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Spectroscopy, 12 papers in Analytical Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Jake L. Rafferty's work include Analytical Chemistry and Chromatography (13 papers), Chromatography in Natural Products (12 papers) and Crystallization and Solubility Studies (7 papers). Jake L. Rafferty is often cited by papers focused on Analytical Chemistry and Chromatography (13 papers), Chromatography in Natural Products (12 papers) and Crystallization and Solubility Studies (7 papers). Jake L. Rafferty collaborates with scholars based in United States and India. Jake L. Rafferty's co-authors include J. Ilja Siepmann, Mark R. Schure, Rebecca Lindsey, Becky L. Eggimann, Edward J. Maginn, Manish S. Kelkar, Ling Zhang, Li Sun, Jeffrey J. Potoff and Neeraj Rai and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Fluid Phase Equilibria.

In The Last Decade

Jake L. Rafferty

17 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Jake L. Rafferty 575 449 341 208 169 17 852
Richard E. Boehm 696 1.2× 389 0.9× 341 1.0× 235 1.1× 189 1.1× 27 861
Andrew J. Dallas 416 0.7× 316 0.7× 110 0.3× 209 1.0× 56 0.3× 38 856
Waruna Kiridena 756 1.3× 428 1.0× 347 1.0× 194 0.9× 97 0.6× 37 860
Wilbur Kaye 323 0.6× 213 0.5× 201 0.6× 63 0.3× 71 0.4× 36 840
Karen B. Sentell 531 0.9× 291 0.6× 264 0.8× 192 0.9× 82 0.5× 15 775
Paul H. Weiner 709 1.2× 290 0.6× 321 0.9× 187 0.9× 122 0.7× 21 1.0k
Carlos Larriba 574 1.0× 186 0.4× 123 0.4× 99 0.5× 100 0.6× 16 990
Anant Vailaya 597 1.0× 222 0.5× 306 0.9× 203 1.0× 297 1.8× 15 812
Shuliang L. Zhang 265 0.5× 118 0.3× 226 0.7× 76 0.4× 82 0.5× 22 799
L. Rohrschneider 828 1.4× 375 0.8× 189 0.6× 163 0.8× 54 0.3× 33 1.0k

Countries citing papers authored by Jake L. Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by Jake L. Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake L. Rafferty. 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 Jake L. Rafferty. The network helps show where Jake L. Rafferty may publish in the future.

Co-authorship network of co-authors of Jake L. Rafferty

This figure shows the co-authorship network connecting the top 25 collaborators of Jake L. Rafferty. A scholar is included among the top collaborators of Jake L. Rafferty 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 Jake L. Rafferty. Jake L. Rafferty 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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