Barrett P. Eynon

785 total citations
9 papers, 368 citations indexed

About

Barrett P. Eynon is a scholar working on Molecular Biology, Geochemistry and Petrology and Atmospheric Science. According to data from OpenAlex, Barrett P. Eynon has authored 9 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Geochemistry and Petrology and 3 papers in Atmospheric Science. Recurrent topics in Barrett P. Eynon's work include Groundwater and Isotope Geochemistry (3 papers), Atmospheric chemistry and aerosols (3 papers) and Gene expression and cancer classification (3 papers). Barrett P. Eynon is often cited by papers focused on Groundwater and Isotope Geochemistry (3 papers), Atmospheric chemistry and aerosols (3 papers) and Gene expression and cancer classification (3 papers). Barrett P. Eynon collaborates with scholars based in United States. Barrett P. Eynon's co-authors include Georges Natsoulis, Kurt Jarnagin, Paul Switzer, Mark R. Fielden, Yvonne R. Freund, Anjali Apte-Deshpande, Akira Terao, Stephen R. Morairty, Thomas S. Kilduff and Cecelia I. Pearson and has published in prestigious journals such as Genome Research, Molecular Systems Biology and Journal of Neuroimmunology.

In The Last Decade

Barrett P. Eynon

9 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Barrett P. Eynon United States	7	156	77	58	35	28	9	368
Yuzhe Wang China	13	137 0.9×	39 0.5×	17 0.3×	13 0.4×	8 0.3×	56	536
Loredana Murino Italy	5	496 3.2×	387 5.0×	22 0.4×	71 2.0×	8 0.3×	7	850
Yimin Chu Taiwan	17	273 1.8×	26 0.3×	50 0.9×	11 0.3×	145 5.2×	43	750
Donald W. Barnes Australia	18	47 0.3×	103 1.3×	24 0.4×	56 1.6×	84 3.0×	60	859
Akemi Hayashi Japan	12	192 1.2×	5 0.1×	36 0.6×	16 0.5×	64 2.3×	24	488
Yifan Cui China	11	82 0.5×	20 0.3×	24 0.4×	8 0.2×	6 0.2×	34	458
Yan Zou China	10	59 0.4×	136 1.8×	39 0.7×	9 0.3×	65 2.3×	24	591
Lijun Ge China	12	50 0.3×	5 0.1×	32 0.6×	17 0.5×	16 0.6×	32	434
Andréi S. Rodin United States	19	639 4.1×	45 0.6×	9 0.2×	101 2.9×	9 0.3×	48	1.0k
Runting Li China	13	97 0.6×	8 0.1×	60 1.0×	11 0.3×	7 0.3×	42	540

Countries citing papers authored by Barrett P. Eynon

Since Specialization

Citations

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

Fields of papers citing papers by Barrett P. Eynon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barrett P. Eynon

This figure shows the co-authorship network connecting the top 25 collaborators of Barrett P. Eynon. A scholar is included among the top collaborators of Barrett P. Eynon 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 Barrett P. Eynon. Barrett P. Eynon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Natsoulis, Georges, Cecelia I. Pearson, Jeremy Gollub, et al.. (2008). The liver pharmacological and xenobiotic gene response repertoire. Molecular Systems Biology. 4(1). 175–175. 60 indexed citations

Natsoulis, Georges, Laurent El Ghaoui, Gert Lanckriet, et al.. (2005). Classification of a large microarray data set: Algorithm comparison and analysis of drug signatures. Genome Research. 15(5). 724–736. 82 indexed citations

Fielden, Mark R., et al.. (2005). A Gene Expression Signature that Predicts the Future Onset of Drug-Induced Renal Tubular Toxicity. Toxicologic Pathology. 33(6). 675–683. 68 indexed citations

Terao, Akira, Anjali Apte-Deshpande, Stephen R. Morairty, et al.. (2002). Immune response gene expression increases in the aging murine hippocampus. Journal of Neuroimmunology. 132(1-2). 99–112. 96 indexed citations

Eynon, Barrett P.. (1988). Statistical Analysis of Precipitation Chemistry Measurements over the Eastern United States. Part II: Kriging Analysis of Regional Patterns and Trends. Journal of Applied Meteorology. 27(12). 1334–1343. 11 indexed citations

Eynon, Barrett P., et al.. (1988). Statistical Analysis of Precipitation Chemistry Measurements over the Eastern United States. Part IV: The Influences of Meteorological Factors. Journal of Applied Meteorology. 27(12). 1352–1358. 4 indexed citations

Ferek, Ronald J., Barrett P. Eynon, & R. M. Endlich. (1988). Statistical Analysis of Precipitation Chemistry Measurements over the Eastern United States. Part III: The Ionic Balance among Chemical Constituents. Journal of Applied Meteorology. 27(12). 1344–1351. 6 indexed citations

Endlich, R. M., et al.. (1986). Statistical analysis of precipitation chemistry measurements over the eastern United States. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

Eynon, Barrett P. & Paul Switzer. (1983). The variability of rainfall acidity. Canadian Journal of Statistics. 11(1). 11–23. 39 indexed citations

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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