Megan C. Sullivan

13 total papers · 654 total citations
9 papers, 400 citations indexed

About

Megan C. Sullivan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Parasitology. According to data from OpenAlex, Megan C. Sullivan has authored 9 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Parasitology. Recurrent topics in Megan C. Sullivan's work include Parasitic Infections and Diagnostics (3 papers), Gut microbiota and health (3 papers) and Injury Epidemiology and Prevention (2 papers). Megan C. Sullivan is often cited by papers focused on Parasitic Infections and Diagnostics (3 papers), Gut microbiota and health (3 papers) and Injury Epidemiology and Prevention (2 papers). Megan C. Sullivan collaborates with scholars based in United States, China and Brazil. Megan C. Sullivan's co-authors include Daniel P. Beiting, Ana M. Misic, Elizabeth D. English, Adam Sateriale, Shuai Wang, Jayesh Tandel, Boris Striepen, Jodi A. Gullicksrud, Robert N. Baldassano and Alexander S. F. Berry and has published in prestigious journals such as Molecular Cell, PLoS Biology and mBio.

In The Last Decade

Megan C. Sullivan

8 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Megan C. Sullivan 199 160 146 61 35 9 400
Jacqueline C. M. Paterson 119 0.6× 116 0.7× 120 0.8× 40 0.7× 26 0.7× 6 392
David Fuchs 124 0.6× 95 0.6× 106 0.7× 77 1.3× 36 1.0× 12 437
Oswaldo Partida‐Rodríguez 141 0.7× 152 0.9× 125 0.9× 70 1.1× 13 0.4× 15 396
Oonagh Paerewijck 214 1.1× 194 1.2× 129 0.9× 22 0.4× 14 0.4× 7 422
Weijia Nie 55 0.3× 74 0.5× 285 2.0× 103 1.7× 17 0.5× 9 385
Max Katubulushi 35 0.2× 186 1.2× 188 1.3× 73 1.2× 14 0.4× 9 406
Ivana Ferreira 98 0.5× 275 1.7× 109 0.7× 54 0.9× 52 1.5× 11 439
Chloë Verspecht 209 1.1× 98 0.6× 108 0.7× 35 0.6× 39 1.1× 4 354
Simone Coughlan 178 0.9× 26 0.2× 79 0.5× 61 1.0× 93 2.7× 12 370
Casper Sahl Poulsen 140 0.7× 161 1.0× 122 0.8× 36 0.6× 4 0.1× 16 375

Countries citing papers authored by Megan C. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Megan C. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan C. Sullivan. 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 Megan C. Sullivan. The network helps show where Megan C. Sullivan may publish in the future.

Co-authorship network of co-authors of Megan C. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Megan C. Sullivan. A scholar is included among the top collaborators of Megan C. Sullivan 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 Megan C. Sullivan. Megan C. Sullivan 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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