Geoff Baldwin

3.4k total citations
58 papers, 2.3k citations indexed

About

Geoff Baldwin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Geoff Baldwin has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Genetics and 7 papers in Ecology. Recurrent topics in Geoff Baldwin's work include Bacterial Genetics and Biotechnology (20 papers), RNA and protein synthesis mechanisms (17 papers) and CRISPR and Genetic Engineering (13 papers). Geoff Baldwin is often cited by papers focused on Bacterial Genetics and Biotechnology (20 papers), RNA and protein synthesis mechanisms (17 papers) and CRISPR and Genetic Engineering (13 papers). Geoff Baldwin collaborates with scholars based in United Kingdom, United States and Denmark. Geoff Baldwin's co-authors include Tom Ellis, Stephen E. Halford, Marko Storch, Arturo Casini, I. Barry Vipond, Paul S. Freemont, Symon G. Erskine, Tim Albrecht, Aleksandar P. Ivanov and Emanuele Instuli 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

Geoff Baldwin

57 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoff Baldwin United Kingdom 26 1.8k 528 393 221 143 58 2.3k
Peter A. Carr United States 18 3.1k 1.7× 907 1.7× 549 1.4× 308 1.4× 112 0.8× 33 3.9k
Dominique Fourmy France 26 2.4k 1.3× 460 0.9× 211 0.5× 283 1.3× 57 0.4× 77 3.0k
Timothy J. Wilson United Kingdom 31 2.3k 1.3× 227 0.4× 209 0.5× 190 0.9× 121 0.8× 76 2.8k
Dina Grohmann Germany 28 2.3k 1.3× 548 1.0× 330 0.8× 434 2.0× 98 0.7× 78 2.8k
José R. Casas‐Finet United States 31 2.3k 1.3× 251 0.5× 311 0.8× 225 1.0× 66 0.5× 77 3.0k
Huiyi Chen China 8 1.5k 0.9× 581 1.1× 249 0.6× 173 0.8× 65 0.5× 16 1.9k
Michael I. Recht United States 19 1.8k 1.0× 383 0.7× 129 0.3× 251 1.1× 60 0.4× 32 2.3k
Takashi Yokogawa Japan 26 3.4k 1.9× 646 1.2× 188 0.5× 328 1.5× 48 0.3× 68 3.6k
Timothy A. Whitehead United States 24 1.9k 1.0× 266 0.5× 324 0.8× 190 0.9× 47 0.3× 69 2.4k
Ansgar Philippsen Switzerland 23 1.5k 0.9× 349 0.7× 253 0.6× 134 0.6× 54 0.4× 28 2.1k

Countries citing papers authored by Geoff Baldwin

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Baldwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Baldwin

This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Baldwin. A scholar is included among the top collaborators of Geoff Baldwin 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 Geoff Baldwin. Geoff Baldwin 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.
Baldwin, Geoff, et al.. (2023). Revealing the Host-Dependent Nature of an Engineered Genetic Inverter in Concordance with Physiology. SHILAP Revista de lepidopterología. 5. 16–16. 9 indexed citations
2.
Marshall, James, et al.. (2022). basicsynbio and the BASIC SEVA collection: software and vectors for an established DNA assembly method. PubMed. 7(1). ysac023–ysac023. 6 indexed citations
3.
Duigou, Thomas, Gizem Buldum, Olivier Telle, et al.. (2022). The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering. Nature Communications. 13(1). 5082–5082. 25 indexed citations
4.
Lawrence, Joshua M., Paolo Bombelli, Marko Storch, et al.. (2022). Synthetic biology and bioelectrochemical tools for electrogenetic system engineering. Science Advances. 8(18). eabm5091–eabm5091. 28 indexed citations
5.
Storch, Marko, et al.. (2021). A modular RNA interference system for multiplexed gene regulation. Nucleic Acids Research. 50(3). 1783–1793. 9 indexed citations
6.
Storch, Marko, et al.. (2020). DNA-BOT: a low-cost, automated DNA assembly platform for synthetic biology. PubMed. 5(1). ysaa010–ysaa010. 48 indexed citations
7.
Beal, Jacob, Ángel Goñi‐Moreno, Chris J. Myers, et al.. (2020). The long journey towards standards for engineering biosystems. EMBO Reports. 21(5). e50521–e50521. 45 indexed citations
8.
9.
Webb, Alexander J., Richard Kelwick, Nicolas Kylilis, et al.. (2016). A protease-based biosensor for the detection of schistosome cercariae. Scientific Reports. 6(1). 24725–24725. 19 indexed citations
10.
Šilhán, Jan, Yan-Wen Li, Vladimir Pelicic, et al.. (2012). A network of enzymes involved in repair of oxidative DNA damage in Neisseria meningitidis. Molecular Microbiology. 83(5). 1064–1079. 19 indexed citations
11.
Šilhán, Jan, Qiyuan Zhao, Kirsten Jensen, et al.. (2011). Specialization of an Exonuclease III family enzyme in the repair of 3′ DNA lesions during base excision repair in the human pathogen Neisseria meningitidis. Nucleic Acids Research. 40(5). 2065–2075. 10 indexed citations
12.
Sheppard, Carol, Beatriz Cámara, A. Yu. Shadrin, et al.. (2011). Reprint of: Inhibition of Escherichia coli RNAp by T7 Gp2 protein: Role of Negatively Charged Strip of Amino Acid Residues in Gp2. Journal of Molecular Biology. 412(5). 832–841. 3 indexed citations
13.
14.
Robinson, Tom, Yolanda Schaerli, Robert C. R. Wootton, et al.. (2009). Removal of background signals from fluorescence thermometry measurements in PDMS microchannels using fluorescence lifetime imaging. Lab on a Chip. 9(23). 3437–3437. 29 indexed citations
15.
Baldwin, Geoff, Richard B. Sessions, Symon G. Erskine, & Stephen E. Halford. (1999). DNA cleavage by the EcoRV restriction endonuclease: roles of divalent metal ions in specificity and catalysis. Journal of Molecular Biology. 288(1). 87–103. 67 indexed citations
16.
Hurd, Paul J., Alan J. Whitmarsh, Geoff Baldwin, et al.. (1999). Mechanism-based inhibition of C5-cytosine DNA methyltransferases by 2-H pyrimidinone. Journal of Molecular Biology. 286(2). 389–401. 63 indexed citations
17.
Brady, R.L., et al.. (1999). Structural analysis of a mutational hot-spot in the Eco RV restriction endonuclease: a catalytic role for a main chain carbonyl group. Nucleic Acids Research. 27(17). 3438–3445. 24 indexed citations
18.
Vipond, I. Barry, Geoff Baldwin, & Stephen E. Halford. (1995). Divalent Metal Ions at the Active Sites of the EcoRV and EcoRI Restriction Endonucleases. Biochemistry. 34(2). 697–704. 114 indexed citations
19.
Vipond, I. Barry, Geoff Baldwin, Mark Oram, et al.. (1995). A general assay for restriction endonucleases and other DNA-modifying enzymes with plasmid substrates. Molecular Biotechnology. 4(3). 259–268. 23 indexed citations
20.
Hornby, D., Alan J. Whitmarsh, Sharon M. Kelly, et al.. (1994). The DNA recognition subunit of a DNA methyltransferase is predominantly a molten globule in the absence of DNA. FEBS Letters. 355(1). 57–60. 15 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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