Grigorios Papadakos

412 total citations
10 papers, 297 citations indexed

About

Grigorios Papadakos is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Grigorios Papadakos has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Ecology. Recurrent topics in Grigorios Papadakos's work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (3 papers) and Protein Structure and Dynamics (2 papers). Grigorios Papadakos is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (3 papers) and Protein Structure and Dynamics (2 papers). Grigorios Papadakos collaborates with scholars based in United Kingdom, United States and Australia. Grigorios Papadakos's co-authors include Colin Kleanthous, J.A. Wojdyla, Renata Kaminska, Cynthia M. Dupureur, Amit Sharma, Anne Marie Krachler, Shabir H. Qureshi, Despoina A. I. Mavridou, H. L. O. McClelland and Rosalind E. M. Rickaby and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Grigorios Papadakos

10 papers receiving 290 citations

Peers

Grigorios Papadakos

MB

GENET

ECOLO

ENDOC

MC

Anisah W. Ghoorah Mauritius

Nela Nikolić Austria

Xiang Ruan China

Paul E. Schavemaker Netherlands

Rohan Balakrishnan United States

Thomas Malone United States

Nicola Ray United Kingdom

Dan Siegal‐Gaskins United States

Nesrine Chakroun United Kingdom

V. A. Lanzov Russia

Anisah W. Ghoorah Mauritius

Grigorios Papadakos

231 ×1.2

MB

65 ×0.5

GENET

68 ×1.0

ECOLO

17 ×0.4

ENDOC

46 ×1.5

MC

Citations per year, relative to Grigorios Papadakos Grigorios Papadakos (= 1×) peers Anisah W. Ghoorah

Countries citing papers authored by Grigorios Papadakos

Since Specialization

Citations

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

Fields of papers citing papers by Grigorios Papadakos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grigorios Papadakos

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

All Works

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10 of 10 papers shown

1.

Rassam, Patrice, Renata Kaminska, David J. Williams, et al.. (2018). Intermembrane crosstalk drives inner-membrane protein organization in Escherichia coli. Nature Communications. 9(1). 1082–1082. 30 indexed citations

2.

Herron, Lissa R., Clare Pridans, Matthew L. Turnbull, et al.. (2018). A chicken bioreactor for efficient production of functional cytokines. BMC Biotechnology. 18(1). 82–82. 31 indexed citations

3.

Mavridou, Despoina A. I., et al.. (2016). The uronic acid content of coccolith-associated polysaccharides provides insight into coccolithogenesis and past climate. Nature Communications. 7(1). 13144–13144. 30 indexed citations

4.

Wojdyla, J.A., Erin Cutts, Renata Kaminska, et al.. (2015). Structure and Function of the Escherichia coli Tol-Pal Stator Protein TolR. Journal of Biological Chemistry. 290(44). 26675–26687. 38 indexed citations

5.

Papadakos, Grigorios, Amit Sharma, Rebecca Bowen, et al.. (2015). Consequences of Inducing Intrinsic Disorder in a High-Affinity Protein–Protein Interaction. Journal of the American Chemical Society. 137(16). 5252–5255. 20 indexed citations

6.

Papadakos, Grigorios, et al.. (2012). Kinetic Basis for the Competitive Recruitment of TolB by the Intrinsically Disordered Translocation Domain of Colicin E9. Journal of Molecular Biology. 418(5). 269–280. 20 indexed citations

7.

Papadakos, Grigorios, J.A. Wojdyla, & Colin Kleanthous. (2011). Nuclease colicins and their immunity proteins. Quarterly Reviews of Biophysics. 45(1). 57–103. 62 indexed citations

8.

Krachler, Anne Marie, et al.. (2010). TolA Modulates the Oligomeric Status of YbgF in the Bacterial Periplasm. Journal of Molecular Biology. 403(2). 270–285. 34 indexed citations

9.

Qureshi, Shabir H., et al.. (2008). One- and Two-Metal Ion Catalysis: Global Single-Turnover Kinetic Analysis of the PvuII Endonuclease Mechanism. Biochemistry. 47(47). 12540–12550. 26 indexed citations

10.

Papadakos, Grigorios, Horacio Nastri, Paul Riggs, & Cynthia M. Dupureur. (2007). Uncoupling metallonuclease metal ion binding sites via nudge mutagenesis. JBIC Journal of Biological Inorganic Chemistry. 12(4). 557–569. 6 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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