Keith Flanagan

605 total citations
15 papers, 371 citations indexed

About

Keith Flanagan is a scholar working on Molecular Biology, Ecology and Information Systems and Management. According to data from OpenAlex, Keith Flanagan has authored 15 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Information Systems and Management. Recurrent topics in Keith Flanagan's work include Genomics and Phylogenetic Studies (7 papers), Biomedical Text Mining and Ontologies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Keith Flanagan is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Biomedical Text Mining and Ontologies (3 papers) and Bioinformatics and Genomic Networks (3 papers). Keith Flanagan collaborates with scholars based in United Kingdom, Australia and United States. Keith Flanagan's co-authors include Anil Wipat, Karen Ho, Susan E. Ozanne, Susan M. Ring, Wendy L. McArdle, Gabriella Ficz, George Davey Smith, Allyson Lister, Aparna Duggirala and Wolf Reik and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Keith Flanagan

15 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Flanagan United Kingdom	6	258	82	70	41	38	15	371
Evelyne Bischof China	11	123 0.5×	21 0.3×	34 0.5×	47 1.1×	21 0.6×	32	437
Allyson Lister United Kingdom	10	425 1.6×	81 1.0×	72 1.0×	15 0.4×	59 1.6×	19	586
Aleksandr Zenin Russia	7	134 0.5×	12 0.1×	36 0.5×	15 0.4×	52 1.4×	9	381
Ovidiu‐Dumitru Ilie Romania	13	93 0.4×	28 0.3×	28 0.4×	5 0.1×	14 0.4×	52	504
Carolina Ochoa‐Rosales Chile	9	66 0.3×	24 0.3×	25 0.4×	8 0.2×	39 1.0×	22	438
Hyun Wook Han South Korea	13	126 0.5×	8 0.1×	12 0.2×	23 0.6×	35 0.9×	45	395
Nasim Vahabi Iran	8	68 0.3×	17 0.2×	19 0.3×	6 0.1×	15 0.4×	22	251
Daniel R. Harris United States	11	131 0.5×	25 0.3×	12 0.2×	8 0.2×	26 0.7×	52	448
Edward Abrahams United States	6	74 0.3×	15 0.2×	8 0.1×	17 0.4×	69 1.8×	12	319
Marcel Ramos United States	10	236 0.9×	15 0.2×	6 0.1×	21 0.5×	36 0.9×	18	393

Countries citing papers authored by Keith Flanagan

Since Specialization

Citations

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

Fields of papers citing papers by Keith Flanagan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Flanagan

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

All Works

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15 of 15 papers shown

1.

Sadegh, Sepideh, Elisa Anastasi, David B. Blumenthal, et al.. (2021). Network medicine for disease module identification and drug repurposing with the NeDRex platform. Nature Communications. 12(1). 6848–6848. 86 indexed citations

2.

Johnson, Christopher, et al.. (2018). Species-Specific Detection of C. difficile Using Targeted Antibody Design. Analytical Chemistry. 90(22). 13475–13482. 9 indexed citations

3.

Mısırlı, Göksel, Curtis Madsen, Keith Flanagan, et al.. (2017). Constructing synthetic biology workflows in the cloud. SHILAP Revista de lepidopterología. 1(1). 61–65. 5 indexed citations

4.

Madsen, Curtis, James Alastair McLaughlin, Göksel Mısırlı, et al.. (2016). The SBOL Stack: A Platform for Storing, Publishing, and Sharing Synthetic Biology Designs. ACS Synthetic Biology. 5(6). 487–497. 22 indexed citations

5.

Relton, Caroline L., Tom R. Gaunt, Wendy L. McArdle, et al.. (2015). Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). International Journal of Epidemiology. 44(4). 1181–1190. 180 indexed citations

6.

Flanagan, Keith, Simon Cockell, Colin R. Harwood, et al.. (2014). A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 11(2). 80–92. 3 indexed citations

7.

Flanagan, Keith, Simon Cockell, Colin R. Harwood, et al.. (2014). A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci. PubMed. 11(2). 242–242. 1 indexed citations

8.

Flanagan, Keith, Sirintra Nakjang, Jennifer Hallinan, et al.. (2012). Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud. PubMed. 9(2). 212–212. 3 indexed citations

9.

Flanagan, Keith, Sirintra Nakjang, Jennifer Hallinan, et al.. (2012). Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 9(2). 101–112. 3 indexed citations

10.

Stadler, Lukas Kurt Josef, Toni Hoffmann, Darren C. Tomlinson, et al.. (2011). Structure−function studies of an engineered scaffold protein derived from Stefin A. II: Development and applications of the SQT variant. Protein Engineering Design and Selection. 24(9). 751–763. 40 indexed citations

11.

Wipat, Anil, et al.. (2007). Exploring Microbial Genome Sequences to Identify Protein Families on the Grid. IEEE Transactions on Information Technology in Biomedicine. 11(4). 435–442. 4 indexed citations

12.

Sun, Yufang, et al.. (2005). A grid-based system for microbial genome comparison and analysis. 977–984 Vol. 2. 9 indexed citations

13.

Flanagan, Keith, et al.. (2004). Ontology for genome comparison and genomic rearrangements: Conference Papers. Comparative and Functional Genomics. 5(6). 537–544. 1 indexed citations

14.

Flanagan, Keith, et al.. (2004). Ontology for genome comparison and genomic rearrangements. Comparative and Functional Genomics. 5(6-7). 537–544. 3 indexed citations

15.

Miles, Ian, et al.. (2000). Ubiquitous Computing: toward understanding European strengths and weaknesses. Research Explorer (The University of Manchester). 2 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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