Maria J. Patterson

32 total papers · 424 total citations
19 papers, 286 citations indexed

About

Maria J. Patterson is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maria J. Patterson has authored 19 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 6 papers in Infectious Diseases and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maria J. Patterson's work include Hepatitis B Virus Studies (5 papers), Antifungal resistance and susceptibility (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). Maria J. Patterson is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Antifungal resistance and susceptibility (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). Maria J. Patterson collaborates with scholars based in United States, Switzerland and Canada. Maria J. Patterson's co-authors include Said Omar, David S. Greenbaum, Gilbert H. Mayor, H. L. Sadoff, Dennis L. Murray, Robert W. H. Pho, Robert L. Carithers, Ajovi B. Scott‐Emuakpor, Tesfaye Belay and Duane R. Hospenthal and has published in prestigious journals such as Gastroenterology, PEDIATRICS and American Journal of Epidemiology.

In The Last Decade

Maria J. Patterson

19 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Maria J. Patterson	122	80	49	41	38	19	286
Raymond Lin	128 1.0×	88 1.1×	37 0.8×	16 0.4×	28 0.7×	15	250
M Garré	113 0.9×	91 1.1×	44 0.9×	24 0.6×	27 0.7×	31	301
Pornpen Tantivitayakul	93 0.8×	130 1.6×	67 1.4×	16 0.4×	10 0.3×	23	312
Ashok Kumar Sharma	102 0.8×	71 0.9×	29 0.6×	38 0.9×	16 0.4×	32	275
Dan Reich	162 1.3×	61 0.8×	47 1.0×	23 0.6×	14 0.4×	15	315
Ana Paula Velez	126 1.0×	99 1.2×	23 0.5×	18 0.4×	58 1.5×	26	322
Sue M. Mietzner	169 1.4×	100 1.3×	21 0.4×	23 0.6×	24 0.6×	12	307
J Prazák	114 0.9×	46 0.6×	34 0.7×	25 0.6×	71 1.9×	29	322
Evangelos Kostis	103 0.8×	67 0.8×	25 0.5×	32 0.8×	16 0.4×	27	306
Mustafa Zahir Bakıcı	106 0.9×	64 0.8×	66 1.3×	19 0.5×	13 0.3×	32	296

Countries citing papers authored by Maria J. Patterson

Since Specialization

Citations

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

Fields of papers citing papers by Maria J. Patterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria J. Patterson

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