J. Middleton Boon

14 total papers · 783 total citations
13 papers, 690 citations indexed

About

J. Middleton Boon is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, J. Middleton Boon has authored 13 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in J. Middleton Boon's work include Lipid Membrane Structure and Behavior (9 papers), Molecular Sensors and Ion Detection (6 papers) and RNA Interference and Gene Delivery (5 papers). J. Middleton Boon is often cited by papers focused on Lipid Membrane Structure and Behavior (9 papers), Molecular Sensors and Ion Detection (6 papers) and RNA Interference and Gene Delivery (5 papers). J. Middleton Boon collaborates with scholars based in United States, United Kingdom and Netherlands. J. Middleton Boon's co-authors include Bradley D. Smith, Timothy N. Lambert, Anthony P. Davis, R. C. Shukla, Jean‐Baptiste Joos, Atanas V. Koulov, David N. Sheppard, John P. Clare, Hongyu Li and Adam L. Sisson and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

J. Middleton Boon

13 papers receiving 683 citations

Author Peers

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

Author Last Decade Papers Cites
J. Middleton Boon 447 288 115 103 63 13 690
Anca Rothe 309 0.7× 160 0.6× 52 0.5× 144 1.4× 25 0.4× 8 628
Karin M. Keller 309 0.7× 208 0.7× 240 2.1× 99 1.0× 63 1.0× 18 693
Eric K. Lei 435 1.0× 148 0.5× 77 0.7× 163 1.6× 18 0.3× 12 688
Charles Y. Huang 431 1.0× 152 0.5× 109 0.9× 102 1.0× 31 0.5× 10 709
Datong Zhang 228 0.5× 272 0.9× 166 1.4× 183 1.8× 49 0.8× 26 688
Xiqian Jiang 291 0.7× 324 1.1× 65 0.6× 215 2.1× 30 0.5× 15 736
Nadukkudy V. Eldho 484 1.1× 114 0.4× 73 0.6× 145 1.4× 36 0.6× 19 757
Donglei Shi 239 0.5× 302 1.0× 61 0.5× 217 2.1× 101 1.6× 24 629
Hye Rim Kim 258 0.6× 234 0.8× 90 0.8× 203 2.0× 59 0.9× 28 737
Josephina M.H. Kremer 554 1.2× 91 0.3× 110 1.0× 105 1.0× 48 0.8× 9 746

Countries citing papers authored by J. Middleton Boon

Since Specialization
Citations

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

Fields of papers citing papers by J. Middleton Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Middleton Boon

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