Ian K. Blaby

3.4k total citations · 1 hit paper
43 papers, 2.2k citations indexed

About

Ian K. Blaby is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Genetics. According to data from OpenAlex, Ian K. Blaby has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 10 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Genetics. Recurrent topics in Ian K. Blaby's work include Photosynthetic Processes and Mechanisms (10 papers), Algal biology and biofuel production (9 papers) and RNA and protein synthesis mechanisms (9 papers). Ian K. Blaby is often cited by papers focused on Photosynthetic Processes and Mechanisms (10 papers), Algal biology and biofuel production (9 papers) and RNA and protein synthesis mechanisms (9 papers). Ian K. Blaby collaborates with scholars based in United States, France and Germany. Ian K. Blaby's co-authors include Sabeeha Merchant, James Umen, David Casero, Matteo Pellegrini, Valérie de Crécy‐Lagard, Janette Kropat, Nanette Boyle, Li‐Chia Tai, Bahram Jalali and Kayvan Niazi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ian K. Blaby

43 papers receiving 2.2k citations

Hit Papers

Deep Learning in Label-free Cell Classification 2016 2026 2019 2022 2016 100 200 300

Peers

Ian K. Blaby
Martin C. Jonikas United States
David F. Savage United States
Jotham R. Austin United States
Dan Davidi Israel
Janet Vonck Germany
Erik Hom United States
Robert MacColl United States
Martin C. Jonikas United States
Ian K. Blaby
Citations per year, relative to Ian K. Blaby Ian K. Blaby (= 1×) peers Martin C. Jonikas

Countries citing papers authored by Ian K. Blaby

Since Specialization
Citations

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

Fields of papers citing papers by Ian K. Blaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian K. Blaby. 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 Ian K. Blaby. The network helps show where Ian K. Blaby may publish in the future.

Co-authorship network of co-authors of Ian K. Blaby

This figure shows the co-authorship network connecting the top 25 collaborators of Ian K. Blaby. A scholar is included among the top collaborators of Ian K. Blaby 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 Ian K. Blaby. Ian K. Blaby 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.
Chen, Yan, Jennifer Gin, Emine Akyüz Turumtay, et al.. (2025). Biosensor-driven strain engineering reveals key cellular processes for maximizing isoprenol production in Pseudomonas putida. Science Advances. 11(43). eady2677–eady2677. 1 indexed citations
2.
Greenblum, Sharon, Abraham Morales‐Cruz, Peng Wang, et al.. (2025). Recruitment, rewiring and deep conservation in flowering plant gene regulation. Nature Plants. 11(8). 1514–1527. 3 indexed citations
3.
Blaby, Ian K., et al.. (2024). An efficient cre‐based workflow for genomic integration and expression of large biosynthetic pathways in Eubacterium limosum. Biotechnology and Bioengineering. 121(10). 3360–3366. 5 indexed citations
4.
Peng, Mao, et al.. (2024). Exploring the Structural, Biochemical, and Functional Diversity of Glycoside Hydrolase Family 12 from Penicillium subrubescens. ACS Sustainable Resource Management. 1(11). 2372–2383. 3 indexed citations
5.
Kumaran, D., James Byrnes, Dale F. Kreitler, et al.. (2024). A hemoprotein with a zinc-mirror heme site ties heme availability to carbon metabolism in cyanobacteria. Nature Communications. 15(1). 3167–3167. 6 indexed citations
6.
Wu, Ruonan, Clyde A. Smith, Garry W. Buchko, et al.. (2022). Structural characterization of a soil viral auxiliary metabolic gene product – a functional chitosanase. Nature Communications. 13(1). 5485–5485. 35 indexed citations
7.
Hixson, Kim, Carrie Nicora, Mary Lipton, et al.. (2022). Zng1 is a GTP-dependent zinc transferase needed for activation of methionine aminopeptidase. Cell Reports. 39(7). 110834–110834. 32 indexed citations
8.
Cole, Benjamin, Dominique C. Bergmann, Crysten E. Blaby‐Haas, et al.. (2021). Plant single-cell solutions for energy and the environment. Communications Biology. 4(1). 962–962. 30 indexed citations
9.
Yoon, Byung-Jun, et al.. (2021). TRIMER: Transcription Regulation Integrated with Metabolic Regulation. iScience. 24(11). 103218–103218. 6 indexed citations
10.
Liu, Hualan, David S. Robinson, Zong‐Yen Wu, et al.. (2020). Bacterial genome editing by coupling Cre-lox and CRISPR-Cas9 systems. PLoS ONE. 15(11). e0241867–e0241867. 10 indexed citations
11.
Nguyen, Nam D., Ian K. Blaby, & Daifeng Wang. (2019). ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks. BMC Genomics. 20(S12). 1003–1003. 20 indexed citations
12.
Blaby, Ian K. & Crysten E. Blaby‐Haas. (2018). Gene Expression Analysis by Arylsulfatase Assays in the Green Alga Chlamydomonas reinhardtii. Methods in molecular biology. 1755. 149–161. 4 indexed citations
13.
Blaby, Ian K., Crysten E. Blaby‐Haas, María Esther Pérez‐Pérez, et al.. (2015). Genome‐wide analysis on Chlamydomonas reinhardtii reveals the impact of hydrogen peroxide on protein stress responses and overlap with other stress transcriptomes. The Plant Journal. 84(5). 974–988. 42 indexed citations
14.
Schmollinger, Stefan, Timo Mühlhaus, Nanette Boyle, et al.. (2014). Nitrogen-Sparing Mechanisms in Chlamydomonas Affect the Transcriptome, the Proteome, and Photosynthetic Metabolism. The Plant Cell. 26(4). 1410–1435. 272 indexed citations
15.
Blaby, Ian K., Anne Glaesener, Sorel Fitz‐Gibbon, et al.. (2013). Systems-Level Analysis of Nitrogen Starvation-Induced Modifications of Carbon Metabolism in a Chlamydomonas reinhardtii Starchless Mutant. The Plant Cell. 25(11). 4305–4323. 151 indexed citations
16.
Boyle, Nanette, M. Dudley Page, Bensheng Liu, et al.. (2012). Three Acyltransferases and Nitrogen-responsive Regulator Are Implicated in Nitrogen Starvation-induced Triacylglycerol Accumulation in Chlamydomonas. Journal of Biological Chemistry. 287(19). 15811–15825. 329 indexed citations
17.
Sorci, Leonardo, Ian K. Blaby, Irina A. Rodionova, et al.. (2012). Quinolinate Salvage and Insights for Targeting NAD Biosynthesis in Group A Streptococci. Journal of Bacteriology. 195(4). 726–732. 30 indexed citations
18.
Blaby, Ian K., et al.. (2011). Pseudouridine formation in archaeal RNAs: The case ofHaloferax volcanii. RNA. 17(7). 1367–1380. 44 indexed citations
19.
Gerdes, Svetlana, Basma Yacoubi, Marc Bailly, et al.. (2011). Synergistic use of plant-prokaryote comparative genomics for functional annotations. BMC Genomics. 12(S1). 67 indexed citations
20.
Pribat, Anne, Ian K. Blaby, Aurora Lara‐Núñez, et al.. (2011). A 5-formyltetrahydrofolate cycloligase paralog from all domains of life: comparative genomic and experimental evidence for a cryptic role in thiamin metabolism. Functional & Integrative Genomics. 11(3). 467–478. 18 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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