Eric Evans

645 total citations
11 papers, 482 citations indexed

About

Eric Evans is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Eric Evans has authored 11 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Eric Evans's work include Genomics and Rare Diseases (5 papers), Cancer Genomics and Diagnostics (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Eric Evans is often cited by papers focused on Genomics and Rare Diseases (5 papers), Cancer Genomics and Diagnostics (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Eric Evans collaborates with scholars based in United States. Eric Evans's co-authors include Man‐Wah Tan, Trupti Kawli, Dale Muzzey, Jason Flannick, Amit Kaushal, Jessica Jacobson, James Lee, Pasquale Patrizio, Christopher Chang and Amy S. Patterson and has published in prestigious journals such as BMJ, Clinical Chemistry and PLoS Pathogens.

In The Last Decade

Eric Evans

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Evans United States	6	224	179	106	81	51	11	482
Limin Hao United States	14	142 0.6×	428 2.4×	341 3.2×	44 0.5×	8 0.2×	22	756
Rebecca W. Vanderslice United States	8	266 1.2×	270 1.5×	133 1.3×	59 0.7×	12 0.2×	9	562
Aurélien Griffon France	8	113 0.5×	493 2.8×	55 0.5×	28 0.3×	10 0.2×	12	689
Elizabeth K. Marsh United Kingdom	12	80 0.4×	242 1.4×	75 0.7×	21 0.3×	37 0.7×	17	465
Wenjing Qi China	12	115 0.5×	172 1.0×	21 0.2×	39 0.5×	9 0.2×	27	363
Rebecca Begley United States	8	311 1.4×	490 2.7×	160 1.5×	36 0.4×	3 0.1×	10	784
Mehul Vora United States	10	188 0.8×	275 1.5×	36 0.3×	42 0.5×	8 0.2×	17	578
Christina Lowes United Kingdom	6	14 0.1×	237 1.3×	52 0.5×	17 0.2×	13 0.3×	8	405
Arnaud Ahier France	11	162 0.7×	265 1.5×	30 0.3×	30 0.4×	3 0.1×	19	541
Shien Zhu China	22	31 0.1×	569 3.2×	185 1.7×	49 0.6×	5 0.1×	73	1.3k

Countries citing papers authored by Eric Evans

Since Specialization

Citations

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

Fields of papers citing papers by Eric Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Evans. 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 Eric Evans. The network helps show where Eric Evans may publish in the future.

Co-authorship network of co-authors of Eric Evans

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

All Works

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11 of 11 papers shown

Vysotskaia, Valentina, Gregory J. Hogan, Xin Wang, et al.. (2017). Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment. PeerJ. 5. e3046–e3046. 15 indexed citations

Wong, Kenny K., Judith D. Goldberg, Eric Evans, Hyunseok P. Kang, & Imran S. Haque. (2016). Re: Carrier Screening is a Deficient Strategy for Determining Sperm Donor Eligibility and Reducing Risk of Disease in Recipient Children(From: Silver AJ, Larson JL, Silver MJ, et al. Genet Test Mol Biomarkers 2016;20:276–284). Genetic Testing and Molecular Biomarkers. 20(8). 413–414. 1 indexed citations

Kang, Hyunseok P., Jared Maguire, Clement Chu, et al.. (2016). Design and validation of a next generation sequencing assay for hereditary BRCA1 and BRCA2 mutation testing. PeerJ. 4. e2162–e2162. 13 indexed citations

Evans, Stephen G., et al.. (2016). Richard Nesbit Evans. BMJ. 353. i3110–i3110.

Kaseniit, Kristjan Eerik, et al.. (2016). Group Testing Approach for Trinucleotide Repeat Expansion Disorder Screening. Clinical Chemistry. 62(10). 1401–1408. 2 indexed citations

Muzzey, Dale, et al.. (2015). Understanding the Basics of NGS: From Mechanism to Variant Calling. Europe PMC (PubMed Central). 3(4). 158–165. 85 indexed citations

Haque, Inamul, et al.. (2015). “Rare” disease is common: results from 388,994 expanded carrier screens of up to 108 genes. Fertility and Sterility. 104(3). e65–e65. 1 indexed citations

Srinivasan, Balaji S., Eric Evans, Jason Flannick, et al.. (2010). A universal carrier test for the long tail of Mendelian disease. Reproductive BioMedicine Online. 21(4). 537–551. 78 indexed citations

Evans, Eric, et al.. (2008). The DAF‐2 insulin‐like signaling pathway independently regulates aging and immunity in C. elegans. Aging Cell. 7(6). 879–893. 109 indexed citations

10.

Evans, Eric, Trupti Kawli, & Man‐Wah Tan. (2008). Pseudomonas aeruginosa Suppresses Host Immunity by Activating the DAF-2 Insulin-Like Signaling Pathway in Caenorhabditis elegans. PLoS Pathogens. 4(10). e1000175–e1000175. 174 indexed citations

11.

Evans, Eric. (2004). FROM THE CLUETRAIN TO THE PANOPTICON: ISP ACTIVITY CHARACTERIZATION AND CONTROL OF INTERNET COMMUNICATIONS. 10(2). 445–499. 4 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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