Paula E. Burch

9 total papers · 4.2k total citations
5 papers, 602 citations indexed

About

Paula E. Burch is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Paula E. Burch has authored 5 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Paula E. Burch's work include Mycobacterium research and diagnosis (2 papers), Skin and Cellular Biology Research (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Paula E. Burch is often cited by papers focused on Mycobacterium research and diagnosis (2 papers), Skin and Cellular Biology Research (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Paula E. Burch collaborates with scholars based in United States. Paula E. Burch's co-authors include Linda L. Bachinski, Duanxiang Li, Óscar González‐Lorenzo, Miguel A. Quiñones, Douglas L. Mann, Rita Hill, William A. Zoghbi, Robert Roberts, Richard A. Gibbs and Fred A. Pereira and has published in prestigious journals such as Circulation, Biochemical and Biophysical Research Communications and Genome Research.

In The Last Decade

Paula E. Burch

5 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Paula E. Burch 343 235 103 102 84 5 602
Georgina B. Harrison 256 0.7× 83 0.4× 37 0.4× 115 1.1× 33 0.4× 9 517
Matthew C. Maland 390 1.1× 83 0.4× 32 0.3× 207 2.0× 51 0.6× 8 687
Kevin Patel 426 1.2× 112 0.5× 130 1.3× 73 0.7× 45 0.5× 7 667
John R. Bockoven 313 0.9× 186 0.8× 62 0.6× 44 0.4× 76 0.9× 11 577
Bakhyt Zhumabayeva 334 1.0× 93 0.4× 38 0.4× 232 2.3× 34 0.4× 9 556
Xuan-Chuan Yu 328 1.0× 103 0.4× 246 2.4× 38 0.4× 30 0.4× 8 511
Aili Cai 441 1.3× 134 0.6× 41 0.4× 16 0.2× 46 0.5× 9 639
Kathy L. O'Connell 369 1.1× 40 0.2× 38 0.4× 143 1.4× 23 0.3× 6 574
Emily J. Welch 246 0.7× 71 0.3× 37 0.4× 84 0.8× 76 0.9× 9 694
J E Darnell 265 0.8× 32 0.1× 124 1.2× 18 0.2× 66 0.8× 8 573

Countries citing papers authored by Paula E. Burch

Since Specialization
Citations

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

Fields of papers citing papers by Paula E. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula E. Burch. 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 Paula E. Burch. The network helps show where Paula E. Burch may publish in the future.

Co-authorship network of co-authors of Paula E. Burch

This figure shows the co-authorship network connecting the top 25 collaborators of Paula E. Burch. A scholar is included among the top collaborators of Paula E. Burch 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 Paula E. Burch. Paula E. Burch 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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