Melissa Bennion

42 total papers · 412 total citations
8 papers, 97 citations indexed

About

Melissa Bennion is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Melissa Bennion has authored 8 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Melissa Bennion's work include Drug Transport and Resistance Mechanisms (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Computational Drug Discovery Methods (2 papers). Melissa Bennion is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Computational Drug Discovery Methods (2 papers). Melissa Bennion collaborates with scholars based in United States. Melissa Bennion's co-authors include Stuart L. Schreiber, Michelle Palmer, José R. Perez, Chris Dockendorff, Miao Yu, Willmen Youngsaye, Sivaraman Dandapani, Marsha Penman, Patrick W. Faloon and Benito Muñoz and has published in prestigious journals such as Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and eNeuro.

In The Last Decade

Melissa Bennion

8 papers receiving 93 citations

Author Peers

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

Author Last Decade Papers Cites
Melissa Bennion 52 29 15 10 10 8 97
Alice G. Renfrew 50 1.0× 19 0.7× 26 1.7× 8 0.8× 4 0.4× 7 140
Bo Li 113 2.2× 16 0.6× 7 0.5× 9 0.9× 22 2.2× 10 231
Justyna M. Gawel 181 3.5× 25 0.9× 40 2.7× 9 0.9× 6 0.6× 6 229
Stefania Vultaggio 80 1.5× 60 2.1× 18 1.2× 3 0.3× 4 0.4× 9 162
Martina Blumenthal 32 0.6× 12 0.4× 26 1.7× 9 0.9× 6 0.6× 6 130
Sommer Gaughan 90 1.7× 14 0.5× 12 0.8× 17 1.7× 4 0.4× 10 238
Tabetha Sundin 67 1.3× 7 0.2× 15 1.0× 4 0.4× 5 0.5× 6 109
Jin-Xiong She 49 0.9× 28 1.0× 12 0.8× 8 0.8× 8 0.8× 12 124
Whitney Silkworth 89 1.7× 94 3.2× 17 1.1× 8 0.8× 6 0.6× 5 227
Betty Ha 179 3.4× 10 0.3× 12 0.8× 15 1.5× 10 1.0× 7 214

Countries citing papers authored by Melissa Bennion

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Bennion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Bennion. 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 Melissa Bennion. The network helps show where Melissa Bennion may publish in the future.

Co-authorship network of co-authors of Melissa Bennion

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Bennion. A scholar is included among the top collaborators of Melissa Bennion 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 Melissa Bennion. Melissa Bennion 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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