John P. Manzella

39 total papers · 795 total citations
24 papers, 577 citations indexed

About

John P. Manzella is a scholar working on Epidemiology, Clinical Biochemistry and Infectious Diseases. According to data from OpenAlex, John P. Manzella has authored 24 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Clinical Biochemistry and 6 papers in Infectious Diseases. Recurrent topics in John P. Manzella's work include Bacterial Identification and Susceptibility Testing (9 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). John P. Manzella is often cited by papers focused on Bacterial Identification and Susceptibility Testing (9 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). John P. Manzella collaborates with scholars based in United States and United Kingdom. John P. Manzella's co-authors include James A. Kellogg, David A. Bankert, Norbert J. Roberts, Kelly Parsey, John L. Green, Sally Cavanaugh, Caroline B. Hall, Theodore Bell, Ronald Benenson and Ella M. Swierkosz and has published in prestigious journals such as JAMA, The Journal of Immunology and PEDIATRICS.

In The Last Decade

John P. Manzella

22 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
John P. Manzella	264	189	139	130	57	24	577
M. Chomarat	330 1.3×	231 1.2×	127 0.9×	209 1.6×	32 0.6×	46	683
Conrad J. Wilkowske	308 1.2×	92 0.5×	122 0.9×	190 1.5×	83 1.5×	33	567
Paola Bernaschi	337 1.3×	187 1.0×	135 1.0×	149 1.1×	33 0.6×	56	653
Lisa Steele	300 1.1×	106 0.6×	134 1.0×	74 0.6×	49 0.9×	41	665
R L Kaplan	299 1.1×	162 0.9×	66 0.5×	257 2.0×	29 0.5×	17	616
José Elías García‐Sánchez	211 0.8×	207 1.1×	92 0.7×	100 0.8×	109 1.9×	40	552
Andrés Martín-Aspas	289 1.1×	246 1.3×	106 0.8×	82 0.6×	19 0.3×	25	582
Andrew Hemmert	283 1.1×	171 0.9×	83 0.6×	146 1.1×	26 0.5×	21	615
S.J. Pedler	220 0.8×	100 0.5×	67 0.5×	229 1.8×	37 0.6×	32	587
A. Tarasi	262 1.0×	111 0.6×	84 0.6×	165 1.3×	43 0.8×	31	606

Countries citing papers authored by John P. Manzella

Since Specialization

Citations

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

Fields of papers citing papers by John P. Manzella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Manzella. 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 John P. Manzella. The network helps show where John P. Manzella may publish in the future.

Co-authorship network of co-authors of John P. Manzella

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Manzella. A scholar is included among the top collaborators of John P. Manzella 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 John P. Manzella. John P. Manzella 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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