David Wildridge

623 total citations
8 papers, 466 citations indexed

About

David Wildridge is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Wildridge has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Wildridge's work include Trypanosoma species research and implications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). David Wildridge is often cited by papers focused on Trypanosoma species research and implications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). David Wildridge collaborates with scholars based in United Kingdom, Netherlands and France. David Wildridge's co-authors include Michael P. Barrett, Fabien Jourdan, Ludovic Cottret, Richard A. Scheltema, David G. Watson, Florence Vinson, M.-F. Sagot, Hubert Charles, Martina Gáliková and Peter Klepsatel and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and PLoS Pathogens.

In The Last Decade

David Wildridge

8 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Wildridge United Kingdom	8	318	129	92	83	41	8	466
Noriko Shindo Japan	14	251 0.8×	38 0.3×	101 1.1×	29 0.3×	12 0.3×	25	490
Amsha Nahid Australia	8	183 0.6×	146 1.1×	25 0.3×	84 1.0×	7 0.2×	10	414
Tracy M. Andacht United States	14	360 1.1×	34 0.3×	56 0.6×	35 0.4×	182 4.4×	17	552
Femke I. C. Mensonides Netherlands	10	352 1.1×	132 1.0×	10 0.1×	64 0.8×	14 0.3×	14	492
Olaf Scheibner Germany	10	223 0.7×	21 0.2×	124 1.3×	12 0.1×	66 1.6×	10	495
Pierre Péricard France	4	295 0.9×	20 0.2×	63 0.7×	12 0.1×	8 0.2×	4	392
Spencer C. Brown France	10	319 1.0×	79 0.6×	14 0.2×	79 1.0×	8 0.2×	12	545
Hyun‐Ok Song South Korea	15	231 0.7×	77 0.6×	5 0.1×	73 0.9×	17 0.4×	42	548
Shizhen Qin China	12	172 0.5×	25 0.2×	22 0.2×	21 0.3×	6 0.1×	35	404
Maria I. Solano United States	12	131 0.4×	39 0.3×	61 0.7×	11 0.1×	37 0.9×	14	355

Countries citing papers authored by David Wildridge

Since Specialization

Citations

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

Fields of papers citing papers by David Wildridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wildridge

This figure shows the co-authorship network connecting the top 25 collaborators of David Wildridge. A scholar is included among the top collaborators of David Wildridge 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 David Wildridge. David Wildridge 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

Klepsatel, Peter, David Wildridge, & Martina Gáliková. (2019). Temperature induces changes in Drosophila energy stores. Scientific Reports. 9(1). 5239–5239. 44 indexed citations

Kovářová, Julie, Andrew W. Pountain, David Wildridge, et al.. (2018). Deletion of transketolase triggers a stringent metabolic response in promastigotes and loss of virulence in amastigotes of Leishmania mexicana. PLoS Pathogens. 14(3). e1006953–e1006953. 14 indexed citations

Verner, Zdeněk, Somsuvro Basu, Corinna Benz, et al.. (2015). Malleable Mitochondrion of Trypanosoma brucei. International review of cell and molecular biology. 315. 73–151. 79 indexed citations

Veitch, Nicola, P. Johnson, Urmi Trivedi, et al.. (2010). Digital gene expression analysis of two life cycle stages of the human-infective parasite, Trypanosoma brucei gambiense reveals differentially expressed clusters of co-regulated genes. BMC Genomics. 11(1). 124–124. 48 indexed citations

Cottret, Ludovic, David Wildridge, Florence Vinson, et al.. (2010). MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks. Nucleic Acids Research. 38(Web Server). W132–W137. 138 indexed citations

Jourdan, Fabien, Ludovic Cottret, Laurence Huc, et al.. (2010). Use of reconstituted metabolic networks to assist in metabolomic data visualization and mining. Metabolomics. 6(2). 312–321. 22 indexed citations

Scheltema, Richard A., David Wildridge, Charles Ebikeme, et al.. (2008). Increasing the mass accuracy of high‐resolution LC‐MS data using background ions – a case study on the LTQ‐Orbitrap. PROTEOMICS. 8(22). 4647–4656. 43 indexed citations

Barrett, Michael P., et al.. (2008). Metabolomic profiling using Orbitrap Fourier transform mass spectrometry with hydrophilic interaction chromatography: a method with wide applicability to analysis of biomolecules. Rapid Communications in Mass Spectrometry. 22(12). 1912–1918. 78 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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