Lonny J. Erickson

18 total papers · 1.2k total citations
17 papers, 941 citations indexed

About

Lonny J. Erickson is a scholar working on Epidemiology, Microbiology and Economics and Econometrics. According to data from OpenAlex, Lonny J. Erickson has authored 17 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Microbiology and 3 papers in Economics and Econometrics. Recurrent topics in Lonny J. Erickson's work include Bacterial Infections and Vaccines (12 papers), Pneumonia and Respiratory Infections (12 papers) and Respiratory viral infections research (3 papers). Lonny J. Erickson is often cited by papers focused on Bacterial Infections and Vaccines (12 papers), Pneumonia and Respiratory Infections (12 papers) and Respiratory viral infections research (3 papers). Lonny J. Erickson collaborates with scholars based in Canada, United States and France. Lonny J. Erickson's co-authors include Philippe De Wals, Hanane Khoury, Mireille Goetghebeur, Randy J. Levitt, Donna Rindress, Monika Wagner, Lambert Farand, Geneviève Petit, Maryse Guay and Văn Hùng Nguyễn and has published in prestigious journals such as Clinical Infectious Diseases, American Journal of Preventive Medicine and Vaccine.

In The Last Decade

Lonny J. Erickson

17 papers receiving 899 citations

Author Peers

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

Author						Papers	Cites
Lonny J. Erickson	531	383	271	156	155	17	941
Richard Barth	596 1.1×	188 0.5×	106 0.4×	358 2.3×	279 1.8×	24	1.2k
Kristin Brown	786 1.5×	678 1.8×	140 0.5×	419 2.7×	44 0.3×	29	1.2k
Sarah Moberley	892 1.7×	243 0.6×	40 0.1×	156 1.0×	78 0.5×	20	1.1k
John Edmunds	426 0.8×	88 0.2×	122 0.5×	82 0.5×	72 0.5×	16	814
J. Schwalbe	437 0.8×	144 0.4×	49 0.2×	113 0.7×	198 1.3×	18	846
Raymond Farkouh	827 1.6×	222 0.6×	40 0.1×	103 0.7×	68 0.4×	44	999
Vincent I. Ahonkhai	477 0.9×	176 0.5×	66 0.2×	272 1.7×	43 0.3×	31	1.0k
Susanne M. Huijts	811 1.5×	174 0.5×	44 0.2×	64 0.4×	48 0.3×	27	957
Amy Margolis	711 1.3×	186 0.5×	32 0.1×	67 0.4×	95 0.6×	8	994
Ana Freitas Ribeiro	367 0.7×	180 0.5×	73 0.3×	54 0.3×	54 0.3×	51	937

Countries citing papers authored by Lonny J. Erickson

Since Specialization

Citations

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

Fields of papers citing papers by Lonny J. Erickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lonny J. Erickson. 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 Lonny J. Erickson. The network helps show where Lonny J. Erickson may publish in the future.

Co-authorship network of co-authors of Lonny J. Erickson

This figure shows the co-authorship network connecting the top 25 collaborators of Lonny J. Erickson. A scholar is included among the top collaborators of Lonny J. Erickson 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 Lonny J. Erickson. Lonny J. Erickson 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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