Danielle Walker

7.3k total citations
8 papers, 1.1k citations indexed

About

Danielle Walker is a scholar working on Ecology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Danielle Walker has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Danielle Walker's work include Bacteriophages and microbial interactions (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Danielle Walker is often cited by papers focused on Bacteriophages and microbial interactions (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Danielle Walker collaborates with scholars based in United Kingdom, Pakistan and Switzerland. Danielle Walker's co-authors include Nicholas R. Thomson, Julian Parkhill, Michael A. Quail, Frances J.D. Smith, Steve Paterson, Ben Libberton, Andrew J. Spiers, Angus Buckling, Neil Hall and Michael A. Brockhurst and has published in prestigious journals such as Nature, Science and Journal of Bacteriology.

In The Last Decade

Danielle Walker

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Walker United Kingdom	8	473	312	240	221	218	8	1.1k
Trevor C. Bruen New Zealand	3	148 0.3×	380 1.2×	265 1.1×	141 0.6×	331 1.5×	3	1.1k
Mike Quail United Kingdom	7	280 0.6×	301 1.0×	220 0.9×	308 1.4×	146 0.7×	9	998
Louis‐Marie Bobay United States	20	663 1.4×	860 2.8×	435 1.8×	55 0.2×	287 1.3×	37	1.5k
Mark Sistrom United States	15	500 1.1×	229 0.7×	192 0.8×	174 0.8×	119 0.5×	31	952
Omar E. Cornejo United States	20	189 0.4×	473 1.5×	331 1.4×	225 1.0×	182 0.8×	43	1.6k
Sean Meaden United Kingdom	17	822 1.7×	585 1.9×	258 1.1×	65 0.3×	278 1.3×	29	1.2k
Turid Vikøren Norway	24	258 0.5×	517 1.7×	151 0.6×	198 0.9×	48 0.2×	47	1.5k
Giorgio Galiero Italy	21	284 0.6×	203 0.7×	285 1.2×	285 1.3×	31 0.1×	112	1.6k
Anna Lopatina Russia	13	1.1k 2.4×	1.0k 3.3×	368 1.5×	134 0.6×	220 1.0×	17	1.7k
Rafal Mostowy United Kingdom	14	160 0.3×	280 0.9×	194 0.8×	136 0.6×	76 0.3×	19	714

Countries citing papers authored by Danielle Walker

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Walker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Walker

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

All Works

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8 of 8 papers shown

Young, Joanna C., Laura Herrera, Thomas R. Connor, et al.. (2016). The Type III Secretion System Effector SeoC of Salmonella enterica subsp. salamae and S. enterica subsp. arizonae ADP-Ribosylates Src and Inhibits Opsonophagocytosis. Infection and Immunity. 84(12). 3618–3628. 8 indexed citations

Bentley, Stephen D., Iñaki Comas, Josephine M. Bryant, et al.. (2012). The Genome of Mycobacterium Africanum West African 2 Reveals a Lineage-Specific Locus and Genome Erosion Common to the M. tuberculosis Complex. PLoS neglected tropical diseases. 6(2). e1552–e1552. 54 indexed citations

Paterson, Steve, Tom Vogwill, Angus Buckling, et al.. (2010). Antagonistic coevolution accelerates molecular evolution. Nature. 464(7286). 275–278. 392 indexed citations

Holt, Kathryn E., Nicholas R. Thomson, John Wain, et al.. (2009). Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi. BMC Genomics. 10(1). 36–36. 139 indexed citations

Croucher, Nicholas J., Danielle Walker, Nicola Lennard, et al.. (2008). Role of Conjugative Elements in the Evolution of the Multidrug-Resistant Pandemic CloneStreptococcus pneumoniae^Spain23FST81. Journal of Bacteriology. 191(5). 1480–1489. 125 indexed citations

Holt, Kathryn E., Nicholas R. Thomson, John Wain, et al.. (2007). Multidrug-ResistantSalmonella entericaSerovar Paratyphi A Harbors IncHI1 Plasmids Similar to Those Found in Serovar Typhi. Journal of Bacteriology. 189(11). 4257–4264. 74 indexed citations

Wilson, William H., Declan C. Schroeder, Michael J. Allen, et al.. (2005). Complete Genome Sequence and Lytic Phase Transcription Profile of a Coccolithovirus. Science. 309(5737). 1090–1092. 217 indexed citations

Walker, Danielle, et al.. (1992). Comparison of polymerase chain reaction amplification of two mycobacterial DNA sequences, IS6110 and the 65kDa antigen gene, in the diagnosis of tuberculosis.. Thorax. 47(9). 690–694. 60 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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