Jason R. Porter

15 total papers · 823 total citations
13 papers, 652 citations indexed

About

Jason R. Porter is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Jason R. Porter has authored 13 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jason R. Porter's work include Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jason R. Porter is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jason R. Porter collaborates with scholars based in United States. Jason R. Porter's co-authors include Indraneel Ghosh, Cliff I. Stains, David J. Segal, Benjamin W. Jester, Lori O'Connell, Paula Jardieu, C Gorman, Steven J. Lahr, Robert L. Shields and Leonard G. Presta and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Jason R. Porter

13 papers receiving 640 citations

Author Peers

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

Author						Papers	Cites
Jason R. Porter	457	111	102	89	86	13	652
Irina Perdivara	498 1.1×	72 0.6×	90 0.9×	50 0.6×	42 0.5×	18	788
Hans H. Riese	350 0.8×	68 0.6×	32 0.3×	36 0.4×	71 0.8×	12	656
Assou El‐Battari	433 0.9×	48 0.4×	73 0.7×	60 0.7×	79 0.9×	20	570
Shiteng Duan	387 0.8×	88 0.8×	82 0.8×	109 1.2×	120 1.4×	14	657
Chikako Torigoe	365 0.8×	66 0.6×	147 1.4×	88 1.0×	45 0.5×	21	647
Byung-Kwon Choi	479 1.0×	57 0.5×	146 1.4×	15 0.2×	60 0.7×	14	632
Gary R. Gunther	461 1.0×	62 0.6×	54 0.5×	29 0.3×	62 0.7×	10	748
Y. Hou	464 1.0×	71 0.6×	60 0.6×	32 0.4×	33 0.4×	12	620
Masaki Shigeta	514 1.1×	46 0.4×	57 0.6×	73 0.8×	76 0.9×	14	671
Ko‐Chung Lin	275 0.6×	87 0.8×	134 1.3×	258 2.9×	223 2.6×	13	736

Countries citing papers authored by Jason R. Porter

Since Specialization

Citations

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

Fields of papers citing papers by Jason R. Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Porter. 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 Jason R. Porter. The network helps show where Jason R. Porter may publish in the future.

Co-authorship network of co-authors of Jason R. Porter

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R. Porter. A scholar is included among the top collaborators of Jason R. Porter 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 Jason R. Porter. Jason R. Porter 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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