Linda Berney‐Meyer

12 total papers · 419 total citations
7 papers, 264 citations indexed

About

Linda Berney‐Meyer is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Linda Berney‐Meyer has authored 7 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Linda Berney‐Meyer's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Linda Berney‐Meyer is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Linda Berney‐Meyer collaborates with scholars based in United States, New Zealand and Switzerland. Linda Berney‐Meyer's co-authors include Michael Berney, William R. Jacobs, David Harris, Bing Chen, Mei Chen, Ka‐Wing Wong, Julian Parkhill, Feng Wang, John Kim and John Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Clinical and Vaccine Immunology.

In The Last Decade

Linda Berney‐Meyer

7 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Linda Berney‐Meyer	140	126	125	23	23	7	264
Xuetao Wang	110 0.8×	137 1.1×	117 0.9×	19 0.8×	37 1.6×	11	301
Ainhoa Palacios	121 0.9×	165 1.3×	85 0.7×	27 1.2×	55 2.4×	15	324
Kristine M. Guinn	211 1.5×	187 1.5×	134 1.1×	24 1.0×	16 0.7×	5	327
Sang‐Nae Cho	120 0.9×	111 0.9×	86 0.7×	28 1.2×	75 3.3×	7	328
Alejandra Garces	175 1.3×	92 0.7×	151 1.2×	44 1.9×	51 2.2×	8	300
Mireille Kamariza	137 1.0×	111 0.9×	127 1.0×	28 1.2×	6 0.3×	12	300
J. G. Belton	141 1.0×	90 0.7×	96 0.8×	24 1.0×	11 0.5×	10	258
P.W. Bilder	101 0.7×	195 1.5×	64 0.5×	16 0.7×	19 0.8×	7	329
Suereta Fortuin	122 0.9×	189 1.5×	83 0.7×	17 0.7×	11 0.5×	14	303
Tim Flerlage	125 0.9×	77 0.6×	108 0.9×	13 0.6×	81 3.5×	12	331

Countries citing papers authored by Linda Berney‐Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Linda Berney‐Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Berney‐Meyer. 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 Linda Berney‐Meyer. The network helps show where Linda Berney‐Meyer may publish in the future.

Co-authorship network of co-authors of Linda Berney‐Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Berney‐Meyer. A scholar is included among the top collaborators of Linda Berney‐Meyer 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 Linda Berney‐Meyer. Linda Berney‐Meyer 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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