Michael Waddington

1.8k total citations · 1 hit paper
12 papers, 1.5k citations indexed

About

Michael Waddington is a scholar working on Clinical Biochemistry, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Michael Waddington has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 5 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Michael Waddington's work include Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Streptococcal Infections and Treatments (3 papers). Michael Waddington is often cited by papers focused on Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Streptococcal Infections and Treatments (3 papers). Michael Waddington collaborates with scholars based in United States, United Kingdom and Russia. Michael Waddington's co-authors include Bo Shopsin, Barry N. Kreiswirth, Manuel J. Gómez, Douglas H. Smith, Stacy O. Montgomery, Deborah E. Dodge, Douglas A. Bost, Stephen Forsythe, Carol Iversen and Stephen L. W. On and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Michael Waddington

12 papers receiving 1.4k citations

Hit Papers

Evaluation of Protein A Gene Polymorphic Region DNA Seque... 1999 2026 2008 2017 1999 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evaluation of Protein A Gene Polymorphic Region DNA Sequencing for Typing ofStaphylococcus aureusStrains
    1999 818 citations Bo Shopsin, Manuel J. Gómez et al. Journal of Clinical Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Waddington United States 11 1.1k 761 652 233 221 12 1.5k
Ruud H. Deurenberg Netherlands 17 995 0.9× 909 1.2× 623 1.0× 151 0.6× 262 1.2× 21 1.7k
Gerlinde Pluister Netherlands 13 855 0.8× 520 0.7× 645 1.0× 163 0.7× 201 0.9× 19 1.3k
Françoise Forey France 18 1.4k 1.3× 1.1k 1.5× 630 1.0× 280 1.2× 237 1.1× 33 2.0k
Doris Turnwald Germany 6 1.5k 1.3× 976 1.3× 749 1.1× 193 0.8× 230 1.0× 8 1.7k
José R. Mediavilla United States 26 1.4k 1.3× 1.0k 1.3× 693 1.1× 285 1.2× 322 1.5× 55 2.4k
Edward J. P. Cartwright United Kingdom 14 850 0.8× 786 1.0× 692 1.1× 191 0.8× 435 2.0× 15 1.8k
Gaynor Randle United Kingdom 6 995 0.9× 927 1.2× 579 0.9× 169 0.7× 517 2.3× 8 1.9k
Warren B. Grubb Australia 17 1.3k 1.2× 872 1.1× 739 1.1× 278 1.2× 189 0.9× 30 1.6k
Tomomi Takano Japan 30 2.0k 1.8× 961 1.3× 525 0.8× 356 1.5× 325 1.5× 111 2.4k
Y Brun France 22 1.1k 1.0× 608 0.8× 518 0.8× 175 0.8× 322 1.5× 58 1.4k

Countries citing papers authored by Michael Waddington

Since Specialization
Citations

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

Fields of papers citing papers by Michael Waddington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Waddington

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

All Works

12 of 12 papers shown
1.
Waddington, Michael, et al.. (2023). Switchable and Functional Fluorophores for Multidimensional Single-Molecule Localization Microscopy. SHILAP Revista de lepidopterología. 1(5). 403–413. 8 indexed citations
2.
London, Roanna, et al.. (2010). An Automated System for Rapid Non-Destructive Enumeration of Growing Microbes. PLoS ONE. 5(1). e8609–e8609. 30 indexed citations
3.
Iversen, Carol, Lee Lancashire, Michael Waddington, Stephen Forsythe, & Graham Ball. (2006). Identification of Enterobacter sakazakii from closely related species: The use of Artificial Neural Networks in the analysis of biochemical and 16S rDNA data. BMC Microbiology. 6(1). 28–28. 28 indexed citations
4.
Abbott, Sharon L., et al.. (2005). Description of Campylobacter curvus and C. curvus -Like Strains Associated with Sporadic Episodes of Bloody Gastroenteritis and Brainerd's Diarrhea. Journal of Clinical Microbiology. 43(2). 585–588. 16 indexed citations
5.
Iversen, Carol, Michael Waddington, Stephen L. W. On, & Stephen Forsythe. (2004). Identification and Phylogeny of Enterobacter sakazakii Relative to Enterobacter and Citrobacter Species. Journal of Clinical Microbiology. 42(11). 5368–5370. 93 indexed citations
6.
Shopsin, Bo, Barun Mathema, J. Martínez, et al.. (2000). Prevalence of Methicillin‐Resistant and Methicillin‐SusceptibleStaphylococcus aureusin the Community. The Journal of Infectious Diseases. 182(1). 359–362. 181 indexed citations
7.
Tang, Yi‐Wei, Alexander von Graevenitz, Michael Waddington, et al.. (2000). Identification of Coryneform Bacterial Isolates by Ribosomal DNA Sequence Analysis. Journal of Clinical Microbiology. 38(4). 1676–1678. 89 indexed citations
8.
Tang, Yi‐Wei, Michael Waddington, Douglas H. Smith, et al.. (2000). Comparison of Protein A Gene Sequencing with Pulsed-Field Gel Electrophoresis and Epidemiologic Data for Molecular Typing of Methicillin-Resistant Staphylococcus aureus. Journal of Clinical Microbiology. 38(4). 1347–1351. 61 indexed citations
9.
Shopsin, Bo, et al.. (2000). Use of Coagulase Gene (coa) Repeat Region Nucleotide Sequences for Typing of Methicillin-Resistant Staphylococcus aureus Strains. Journal of Clinical Microbiology. 38(9). 3453–3456. 79 indexed citations
10.
Clarridge, Jill E., et al.. (1999). Genotypic and Phenotypic Characterization of “ Streptococcus milleri ” Group Isolates from a Veterans Administration Hospital Population. Journal of Clinical Microbiology. 37(11). 3681–3687. 39 indexed citations
11.
Shopsin, Bo, Manuel J. Gómez, Stacy O. Montgomery, et al.. (1999). Evaluation of Protein A Gene Polymorphic Region DNA Sequencing for Typing ofStaphylococcus aureusStrains. Journal of Clinical Microbiology. 37(11). 3556–3563. 818 indexed citations breakdown →
12.
Patel, Jean B., et al.. (1999). Bacteremia Caused by a Novel Isolate Resembling Leptotrichia Species in a Neutropenic Patient. Journal of Clinical Microbiology. 37(6). 2064–2067. 25 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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