Eric S. Miller

2.6k total citations · 1 hit paper
40 papers, 1.9k citations indexed

About

Eric S. Miller is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Eric S. Miller has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Ecology and 13 papers in Genetics. Recurrent topics in Eric S. Miller's work include Bacteriophages and microbial interactions (14 papers), Bacterial Genetics and Biotechnology (11 papers) and RNA and protein synthesis mechanisms (10 papers). Eric S. Miller is often cited by papers focused on Bacteriophages and microbial interactions (14 papers), Bacterial Genetics and Biotechnology (11 papers) and RNA and protein synthesis mechanisms (10 papers). Eric S. Miller collaborates with scholars based in United States, Canada and Germany. Eric S. Miller's co-authors include Fumio Arisaka, Takashi Kunisawa, Gisela Mosig, Elizabeth Kutter, Wolfgang Rüger, Jason C.H. Shih, Xi Lin, Jim D. Karam, В. М. Петров and James Nolan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Eric S. Miller

38 papers receiving 1.8k citations

Hit Papers

Bacteriophage T4 Genome 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Miller United States 20 1.2k 1.0k 443 398 259 40 1.9k
Konstantin A. Miroshnikov Russia 26 954 0.8× 1.1k 1.0× 461 1.0× 225 0.6× 135 0.5× 112 1.8k
Dominique Le Coq France 24 1.5k 1.2× 520 0.5× 484 1.1× 894 2.2× 231 0.9× 40 2.2k
Shu Ishikawa Japan 22 1.6k 1.4× 746 0.7× 229 0.5× 1.3k 3.3× 188 0.7× 67 2.3k
Horst Schmieger Germany 20 1.0k 0.9× 1.2k 1.1× 169 0.4× 613 1.5× 134 0.5× 52 1.9k
Elise Darmon United Kingdom 13 948 0.8× 416 0.4× 134 0.3× 658 1.7× 251 1.0× 16 1.4k
Lakshminarayan M. Iyer United States 10 906 0.8× 541 0.5× 511 1.2× 290 0.7× 72 0.3× 12 1.4k
Barend Kraal Netherlands 25 1.4k 1.2× 392 0.4× 419 0.9× 540 1.4× 98 0.4× 70 1.9k
Mitsuhiro Itaya Japan 31 2.8k 2.3× 1.2k 1.1× 338 0.8× 1.7k 4.2× 148 0.6× 112 3.3k
Pierre Mandin France 16 1.5k 1.2× 567 0.5× 126 0.3× 878 2.2× 407 1.6× 22 2.3k
Chester W. Price United States 26 1.4k 1.1× 610 0.6× 311 0.7× 1.1k 2.7× 276 1.1× 35 1.9k

Countries citing papers authored by Eric S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric S. Miller

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

All Works

20 of 20 papers shown
1.
Zhang, Yunlong, Qihui Liu, Ran Zhang, et al.. (2023). Tolyporphins–Exotic Tetrapyrrole Pigments in a Cyanobacterium—A Review. Molecules. 28(16). 6132–6132. 6 indexed citations
2.
Miller, Eric S., et al.. (2021). Natural Product Gene Clusters in the Filamentous Nostocales Cyanobacterium HT-58-2. Life. 11(4). 356–356. 5 indexed citations
3.
Barnhart-Dailey, Meghan C., Yunlong Zhang, Ran Zhang, et al.. (2019). Cellular localization of tolyporphins, unusual tetrapyrroles, in a microbial photosynthetic community determined using hyperspectral confocal fluorescence microscopy. Photosynthesis Research. 141(3). 259–271. 14 indexed citations
4.
Lee, Jae Yun, et al.. (2017). Vibrio Phage KVP40 Encodes a Functional NAD + Salvage Pathway. Journal of Bacteriology. 199(9). 37 indexed citations
6.
Henry, Isabelle, Brian P. Dilkes, Eric S. Miller, Diana Burkart‐Waco, & Luca Comai. (2010). Phenotypic Consequences of Aneuploidy in Arabidopsis thaliana. Genetics. 186(4). 1231–1245. 87 indexed citations
7.
Петров, В. М., et al.. (2010). Genomes of the T4-related bacteriophages as windows on microbial genome evolution. Virology Journal. 7(1). 292–292. 133 indexed citations
8.
Uzan, Marc & Eric S. Miller. (2010). Post-transcriptional control by bacteriophage T4: mRNA decay and inhibition of translation initiation. Virology Journal. 7(1). 360–360. 30 indexed citations
9.
Coulter, Cynthia, et al.. (2008). Tetrahydrocannabinol and Two of its Metabolites in Whole Blood Using Liquid Chromatography-Tandem Mass Spectrometry. Journal of Analytical Toxicology. 32(8). 653–658. 30 indexed citations
10.
Dong, Shujie, H. D. Shew, L. P. Tredway, et al.. (2007). Expression of the bacteriophage T4 lysozyme gene in tall fescue confers resistance to gray leaf spot and brown patch diseases. Transgenic Research. 17(1). 47–57. 22 indexed citations
11.
Miller, Eric S., et al.. (2006). An E. coli B mutation, rpoB5081, that prevents growth of phage T4 strains defective in host DNA degradation. FEMS Microbiology Letters. 157(1). 109–116.
12.
Dean, Timothy R., et al.. (2005). In vitro selection of phage RB69 RegA RNA binding sites yields UAA triplets. Virology. 336(1). 26–36. 4 indexed citations
13.
Gregory, Brian D., et al.. (2004). A Family of Anti-σ70 Proteins in T4-type Phages and Bacteria that are Similar to AsiA, a Transcription Inhibitor and Co-activator of Bacteriophage T4. Journal of Molecular Biology. 344(5). 1183–1197. 30 indexed citations
14.
Ho, C. Kiong, et al.. (2003). Characterization of bacteriophage KVP40 and T4 RNA ligase 2. Virology. 319(1). 141–151. 31 indexed citations
15.
Miller, Eric S., et al.. (2000). Subtilisins ofBacillusspp. hydrolyze keratin and allow growth on feathers. Canadian Journal of Microbiology. 46(11). 1004–1011. 61 indexed citations
16.
Miller, Eric S., et al.. (1999). RNA-Binding Properties ofin VitroExpressed Histidine-Tagged RB69 RegA Translational Repressor Protein. Analytical Biochemistry. 269(1). 32–37. 17 indexed citations
17.
Lin, Xi, et al.. (1997). Expression of the Bacillus licheniformis PWD-1 keratinase gene in B. subtilis. Journal of Industrial Microbiology & Biotechnology. 19(2). 134–138. 54 indexed citations
18.
Miller, Eric S., C R Woese, & Sydney Brenner. (1991). Description of the Erythromycin-Producing Bacterium Arthrobacter sp. Strain NRRL B-3381 as Aeromicrobium erythreum gen. nov., sp. nov.. International Journal of Systematic Bacteriology. 41(3). 363–368. 76 indexed citations
19.
Trojanowska, Maria, et al.. (1984). The bacteriophage T4regAgene: primary sequence of a translational repressor. Nucleic Acids Research. 12(15). 5979–5993. 27 indexed citations
20.
Miller, Eric S. & Jean E. Brenchley. (1981). L-Methionine SR-sulfoximine-resistant glutamine synthetase from mutants of Salmonella typhimurium.. Journal of Biological Chemistry. 256(21). 11307–11312. 14 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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