Jennifer M. Bui

37 total papers · 862 total citations
26 papers, 537 citations indexed

About

Jennifer M. Bui is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Jennifer M. Bui has authored 26 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Jennifer M. Bui's work include Protein Structure and Dynamics (14 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (7 papers). Jennifer M. Bui is often cited by papers focused on Protein Structure and Dynamics (14 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (7 papers). Jennifer M. Bui collaborates with scholars based in Canada, United States and United Kingdom. Jennifer M. Bui's co-authors include Jörg Gsponer, J. Andrew McCammon, Christopher M. Dobson, Michele Vendruscolo, Andrea Cavalli, Kaihsu Tai, John Christodoulou, Barbara Richter, Richard H. Henchman and Nawar Malhis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jennifer M. Bui

24 papers receiving 533 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer M. Bui 414 103 102 86 49 26 537
Arghya Barman 371 0.9× 85 0.8× 128 1.3× 83 1.0× 79 1.6× 27 599
Manuel Hitzenberger 394 1.0× 51 0.5× 96 0.9× 28 0.3× 39 0.8× 23 595
Mostafa H. Ahmed 319 0.8× 80 0.8× 76 0.7× 50 0.6× 25 0.5× 22 600
Ryoichi Kataoka 426 1.0× 50 0.5× 79 0.8× 29 0.3× 84 1.7× 19 608
Paweł Dąbrowski-Tumański 482 1.2× 126 1.2× 41 0.4× 31 0.4× 47 1.0× 24 609
Cristina Paissoni 399 1.0× 93 0.9× 54 0.5× 18 0.2× 35 0.7× 21 490
Wanda Niemyska 353 0.9× 99 1.0× 64 0.6× 26 0.3× 17 0.3× 23 501
Ana Lígia Scott 311 0.8× 76 0.7× 147 1.4× 32 0.4× 42 0.9× 35 576
Ryan W. Benz 355 0.9× 43 0.4× 87 0.9× 33 0.4× 31 0.6× 16 515
Crina-Maria Ionescu 359 0.9× 123 1.2× 91 0.9× 17 0.2× 68 1.4× 18 573

Countries citing papers authored by Jennifer M. Bui

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Bui. 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 Jennifer M. Bui. The network helps show where Jennifer M. Bui may publish in the future.

Co-authorship network of co-authors of Jennifer M. Bui

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Bui. A scholar is included among the top collaborators of Jennifer M. Bui 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 Jennifer M. Bui. Jennifer M. Bui 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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