Benjamin E. Rubin

2.9k total citations
17 papers, 1.2k citations indexed

About

Benjamin E. Rubin is a scholar working on Molecular Biology, Ecology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Benjamin E. Rubin has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Benjamin E. Rubin's work include Photosynthetic Processes and Mechanisms (6 papers), Microbial Community Ecology and Physiology (5 papers) and Photoreceptor and optogenetics research (4 papers). Benjamin E. Rubin is often cited by papers focused on Photosynthetic Processes and Mechanisms (6 papers), Microbial Community Ecology and Physiology (5 papers) and Photoreceptor and optogenetics research (4 papers). Benjamin E. Rubin collaborates with scholars based in United States, Switzerland and Canada. Benjamin E. Rubin's co-authors include Corrie S. Moreau, Susan S. Golden, Richard H. Ree, Spencer Diamond, David Welkie, Sarah M. Owens, Jarrad Hampton‐Marcell, Jack A. Gilbert, Ryan K. Shultzaberger and Christopher Dalton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Benjamin E. Rubin

14 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin E. Rubin United States	14	805	341	275	264	205	17	1.2k
Johannes H. P. Hackstein Netherlands	31	1.5k 1.8×	719 2.1×	95 0.3×	444 1.7×	147 0.7×	54	2.3k
Claudio H. Slamovits Canada	30	1.5k 1.9×	811 2.4×	100 0.4×	169 0.6×	173 0.8×	51	2.3k
Ave Tooming‐Klunderud Norway	17	640 0.8×	556 1.6×	47 0.2×	136 0.5×	125 0.6×	26	1.4k
Guy Leonard United Kingdom	19	934 1.2×	588 1.7×	23 0.1×	70 0.3×	85 0.4×	33	1.6k
Julia Schwartzman United States	20	577 0.7×	460 1.3×	16 0.1×	180 0.7×	134 0.7×	33	1.3k
David A. Wheeler New Zealand	17	314 0.4×	132 0.4×	32 0.1×	222 0.8×	149 0.7×	41	882
Adrián Reyes‐Prieto Canada	21	1.4k 1.8×	792 2.3×	221 0.8×	53 0.2×	59 0.3×	44	1.7k
William R. Wolters United States	28	318 0.4×	519 1.5×	49 0.2×	570 2.2×	49 0.2×	88	2.7k
Javier del Campo Spain	30	1.8k 2.3×	1.9k 5.5×	257 0.9×	76 0.3×	131 0.6×	72	2.8k
Hyun‐Woo Kim South Korea	20	529 0.7×	542 1.6×	24 0.1×	134 0.5×	47 0.2×	155	1.3k

Countries citing papers authored by Benjamin E. Rubin

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin E. Rubin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin E. Rubin. 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 Benjamin E. Rubin. The network helps show where Benjamin E. Rubin may publish in the future.

Co-authorship network of co-authors of Benjamin E. Rubin

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

All Works

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17 of 17 papers shown

Smith, Sara J., Emily C. Pierce, Adam M. Deutschbauer, et al.. (2026). Identification of proteins influencing CRISPR-associated transposases for enhanced genome editing. Science Advances. 12(1). eaea1429–eaea1429.

Muthuraman, Krithika, Matthew R. Jackman, Yu Liang, et al.. (2025). Human antibody targeting of coronavirus spike S2 subunit is associated with protection mediated by Fc effector functions. Journal of Virology. 99(12). e0152325–e0152325.

Irvine, Julie, et al.. (2025). Generating functional plasmid origins with OriGen. Nucleic Acids Research. 53(22).

Lou, Yue Clare, Benjamin E. Rubin, Marie C. Schoelmerich, et al.. (2023). Infant microbiome cultivation and metagenomic analysis reveal Bifidobacterium 2’-fucosyllactose utilization can be facilitated by coexisting species. Nature Communications. 14(1). 7417–7417. 15 indexed citations

Taton, Arnaud, Yiling Yang, Benjamin E. Rubin, et al.. (2020). The circadian clock and darkness control natural competence in cyanobacteria. Nature Communications. 11(1). 1688–1688. 64 indexed citations

Welkie, David, Benjamin E. Rubin, Yong‐Gang Chang, et al.. (2018). Genome-wide fitness assessment during diurnal growth reveals an expanded role of the cyanobacterial circadian clock protein KaiA. Proceedings of the National Academy of Sciences. 115(30). E7174–E7183. 48 indexed citations

Rubin, Benjamin E., TuAnh N. Huynh, David Welkie, et al.. (2018). High-throughput interaction screens illuminate the role of c-di-AMP in cyanobacterial nighttime survival. PLoS Genetics. 14(4). e1007301–e1007301. 34 indexed citations

Welkie, David, Benjamin E. Rubin, Spencer Diamond, et al.. (2018). A Hard Day’s Night: Cyanobacteria in Diel Cycles. Trends in Microbiology. 27(3). 231–242. 84 indexed citations

Diamond, Spencer, et al.. (2017). Redox crisis underlies conditional light–dark lethality in cyanobacterial mutants that lack the circadian regulator, RpaA. Proceedings of the National Academy of Sciences. 114(4). E580–E589. 41 indexed citations

10.

Broddrick, Jared T., Benjamin E. Rubin, David Welkie, et al.. (2016). Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis. Proceedings of the National Academy of Sciences. 113(51). 95 indexed citations

11.

Rubin, Benjamin E., Kelly M. Wetmore, Morgan N. Price, et al.. (2015). The essential gene set of a photosynthetic organism. Proceedings of the National Academy of Sciences. 112(48). E6634–43. 141 indexed citations

12.

Diamond, Spencer, et al.. (2015). The circadian oscillator in Synechococcus elongatus controls metabolite partitioning during diurnal growth. Proceedings of the National Academy of Sciences. 112(15). E1916–25. 104 indexed citations

13.

Sullam, Karen E., Benjamin E. Rubin, Christopher Dalton, et al.. (2015). Divergence across diet, time and populations rules out parallel evolution in the gut microbiomes of Trinidadian guppies. The ISME Journal. 9(7). 1508–1522. 115 indexed citations

14.

Rubin, Benjamin E., Jon G. Sanders, Jarrad Hampton‐Marcell, et al.. (2014). DNA extraction protocols cause differences in 16S rRNA amplicon sequencing efficiency but not in community profile composition or structure. MicrobiologyOpen. 3(6). 910–921. 80 indexed citations

15.

Rubin, Benjamin E., Sean M. Gibbons, Suzanne Kennedy, et al.. (2013). Investigating the Impact of Storage Conditions on Microbial Community Composition in Soil Samples. PLoS ONE. 8(7). e70460–e70460. 114 indexed citations

16.

Kautz, Stefanie, Benjamin E. Rubin, & Corrie S. Moreau. (2013). Bacterial Infections across the Ants: Frequency and Prevalence ofWolbachia, Spiroplasma, andAsaia. Psyche A Journal of Entomology. 2013. 1–11. 49 indexed citations

17.

Rubin, Benjamin E., Richard H. Ree, & Corrie S. Moreau. (2012). Inferring Phylogenies from RAD Sequence Data. PLoS ONE. 7(4). e33394–e33394. 258 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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