J. Jonathan Harburn

27 total papers · 687 total citations
15 papers, 592 citations indexed

About

J. Jonathan Harburn is a scholar working on Biomaterials, Molecular Biology and Cancer Research. According to data from OpenAlex, J. Jonathan Harburn has authored 15 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in J. Jonathan Harburn's work include Nanoparticle-Based Drug Delivery (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Marine Sponges and Natural Products (3 papers). J. Jonathan Harburn is often cited by papers focused on Nanoparticle-Based Drug Delivery (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Marine Sponges and Natural Products (3 papers). J. Jonathan Harburn collaborates with scholars based in United States, United Kingdom and Czechia. J. Jonathan Harburn's co-authors include Timothy G. St. Pierre, L. A. Harris, Jonathan Goff, Judy S. Riffle, Martin Saunders, Christopher D. Spilling, Nigam P. Rath, Dan Dragomir‐Daescu, Brandon J. Tefft and Gurpreet S. Sandhu and has published in prestigious journals such as Chemistry of Materials, Chemical Communications and Journal of Medicinal Chemistry.

In The Last Decade

J. Jonathan Harburn

14 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
J. Jonathan Harburn	238	184	178	145	124	15	592
Mini Namdeo	163 0.7×	113 0.6×	146 0.8×	146 1.0×	45 0.4×	10	511
Shan Su	126 0.5×	102 0.6×	144 0.8×	157 1.1×	36 0.3×	27	523
Lanhua Yuan	299 1.3×	92 0.5×	156 0.9×	105 0.7×	60 0.5×	8	518
Eylem Öztürk	185 0.8×	104 0.6×	102 0.6×	63 0.4×	28 0.2×	12	553
Scott R. Rudge	144 0.6×	47 0.3×	315 1.8×	128 0.9×	60 0.5×	18	670
Guobin Shan	137 0.6×	142 0.8×	281 1.6×	213 1.5×	73 0.6×	16	649
Hiroyuki Tonami	236 1.0×	129 0.7×	94 0.5×	77 0.5×	16 0.1×	24	551
Chen‐Lun Liu	208 0.9×	60 0.3×	283 1.6×	286 2.0×	42 0.3×	24	629
Kyong‐Hoon Choi	109 0.5×	77 0.4×	190 1.1×	266 1.8×	112 0.9×	22	565
Ximu Li	155 0.7×	33 0.2×	231 1.3×	123 0.8×	55 0.4×	13	554

Countries citing papers authored by J. Jonathan Harburn

Since Specialization

Citations

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

Fields of papers citing papers by J. Jonathan Harburn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Jonathan Harburn. 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 J. Jonathan Harburn. The network helps show where J. Jonathan Harburn may publish in the future.

Co-authorship network of co-authors of J. Jonathan Harburn

This figure shows the co-authorship network connecting the top 25 collaborators of J. Jonathan Harburn. A scholar is included among the top collaborators of J. Jonathan Harburn 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 J. Jonathan Harburn. J. Jonathan Harburn 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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