Ben Ernest

848 total citations
11 papers, 347 citations indexed

About

Ben Ernest is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Ben Ernest has authored 11 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Epidemiology. Recurrent topics in Ben Ernest's work include Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ben Ernest is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ben Ernest collaborates with scholars based in United States, Australia and Germany. Ben Ernest's co-authors include Brynn H. Voy, Shawn R. Campagna, Arnold M. Saxton, Jessica Gooding, Tim Lohoff, Tessa M. Burch‐Smith, Albrecht G. von Arnim, James Satterlee, Qidong Jia and Margaret Staton and has published in prestigious journals such as Nature Biotechnology, The Plant Cell and New Phytologist.

In The Last Decade

Ben Ernest

10 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Ernest United States	7	239	96	52	40	38	11	347
Chunlin Xu China	10	162 0.7×	36 0.4×	28 0.5×	74 1.9×	50 1.3×	16	326
Keita Nakanaga Japan	7	466 1.9×	201 2.1×	44 0.8×	7 0.2×	39 1.0×	7	534
Shang‐Tong Li China	9	197 0.8×	43 0.4×	26 0.5×	3 0.1×	34 0.9×	19	327
Qinyi Wang China	8	150 0.6×	36 0.4×	66 1.3×	129 3.2×	121 3.2×	15	327
Thomas Hon United States	12	408 1.7×	40 0.4×	42 0.8×	5 0.1×	20 0.5×	12	461
Christopher M. Amy United States	8	380 1.6×	26 0.3×	52 1.0×	6 0.1×	35 0.9×	11	490
Anne E. Dodson United States	9	467 2.0×	72 0.8×	28 0.5×	3 0.1×	45 1.2×	16	541
Constance J. Clancey United States	8	450 1.9×	38 0.4×	25 0.5×	6 0.1×	33 0.9×	11	567
Pavlo Kyryakov Canada	13	523 2.2×	101 1.1×	62 1.2×	5 0.1×	13 0.3×	17	639
Linda Lauinger United States	7	180 0.8×	71 0.7×	14 0.3×	4 0.1×	18 0.5×	12	293

Countries citing papers authored by Ben Ernest

Since Specialization

Citations

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

Fields of papers citing papers by Ben Ernest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Ernest

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Ernest. A scholar is included among the top collaborators of Ben Ernest 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 Ben Ernest. Ben Ernest 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

Ryu, Seungmi, Claire Weber, Pei‐Hsuan Chu, et al.. (2023). Stress-free cell aggregation by using the CEPT cocktail enhances embryoid body and organoid fitness. Biofabrication. 16(1). 15016–15016. 4 indexed citations

Weber, Claire, Marissa B. Hirst, Ben Ernest, et al.. (2023). SEQUIN is an R/Shiny framework for rapid and reproducible analysis of RNA-seq data. Cell Reports Methods. 3(3). 100420–100420. 4 indexed citations

Weber, Claire, Marissa B. Hirst, Ben Ernest, et al.. (2022). SEQUIN: Rapid and Reproducible Analysis of RNA-Seq Data in R/Shiny. SSRN Electronic Journal.

Chen, Wanqiu, Yongmei Zhao, Xin Chen, et al.. (2020). A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples. Nature Biotechnology. 39(9). 1103–1114. 61 indexed citations

Bobik, Krzysztof, et al.. (2018). The essential chloroplast ribosomal protein uL15c interacts with the chloroplast RNA helicase ISE2 and affects intercellular trafficking through plasmodesmata. New Phytologist. 221(2). 850–865. 25 indexed citations

Bobik, Krzysztof, Ben Ernest, Katharine A. Howell, et al.. (2017). The chloroplast RNA helicase ISE2 is required for multiple chloroplast RNA processing steps in Arabidopsis thaliana. The Plant Journal. 91(1). 114–131. 51 indexed citations

Ernest, Ben, et al.. (2015). The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading. The Plant Cell. 27(9). 2582–2599. 68 indexed citations

Hsu, Shih-Jui, et al.. (2015). The insulator protein Suppressor of Hairy wing is required for proper ring canal development during oogenesis in Drosophila. Developmental Biology. 403(1). 57–68. 6 indexed citations

Ernest, Ben, et al.. (2014). Molecular and metabolic profiles suggest that increased lipid catabolism in adipose tissue contributes to leanness in domestic chickens. Physiological Genomics. 46(9). 315–327. 21 indexed citations

10.

Ernest, Ben, Jessica Gooding, Shawn R. Campagna, Arnold M. Saxton, & Brynn H. Voy. (2012). MetabR: an R script for linear model analysis of quantitative metabolomic data. BMC Research Notes. 5(1). 596–596. 29 indexed citations

11.

Ji, Bo, Ben Ernest, Jessica Gooding, et al.. (2012). Transcriptomic and metabolomic profiling of chicken adipose tissue in response to insulin neutralization and fasting. BMC Genomics. 13(1). 441–441. 78 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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