A. Robinson

3.0k total citations
75 papers, 2.2k citations indexed

About

A. Robinson is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, A. Robinson has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Microbiology, 23 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in A. Robinson's work include Bacterial Infections and Vaccines (37 papers), Pneumonia and Respiratory Infections (14 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). A. Robinson is often cited by papers focused on Bacterial Infections and Vaccines (37 papers), Pneumonia and Respiratory Infections (14 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). A. Robinson collaborates with scholars based in United Kingdom, United States and New Zealand. A. Robinson's co-authors include L.I. Irons, L.A.E. Ashworth, Andrew Gorringe, Simon G. P. Funnell, Karen M. Reddin, Michael J. Hudson, Ray Borrow, Clive J. Duggleby, Ian Livey and Paul F. Russell and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

A. Robinson

75 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Robinson United Kingdom 28 1.2k 778 653 460 266 75 2.2k
Andrew Gorringe United Kingdom 32 1.8k 1.5× 1.4k 1.8× 703 1.1× 363 0.8× 210 0.8× 109 2.8k
A. C. Wardlaw United Kingdom 26 749 0.6× 443 0.6× 855 1.3× 323 0.7× 313 1.2× 102 3.1k
Pavel Novotný United Kingdom 18 769 0.6× 347 0.4× 348 0.5× 177 0.4× 277 1.0× 33 1.1k
A Sutton United States 23 801 0.7× 829 1.1× 1.2k 1.9× 331 0.7× 599 2.3× 36 3.0k
H. Robert Masure United States 24 1.1k 0.9× 1.6k 2.1× 1.0k 1.5× 339 0.7× 147 0.6× 32 2.9k
G M Carlone United States 30 2.2k 1.8× 2.3k 3.0× 584 0.9× 137 0.3× 260 1.0× 63 3.7k
Mark Allen O’Rourke United States 26 282 0.2× 397 0.5× 1.2k 1.9× 389 0.8× 194 0.7× 82 5.7k
Jun Fan China 21 1.3k 1.1× 765 1.0× 1.3k 2.0× 282 0.6× 84 0.3× 73 3.0k
Roger M. Cole United States 27 601 0.5× 564 0.7× 712 1.1× 365 0.8× 137 0.5× 98 2.4k
David R. Hillyard United States 41 241 0.2× 1.1k 1.4× 3.3k 5.0× 494 1.1× 180 0.7× 110 5.4k

Countries citing papers authored by A. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by A. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Robinson

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

All Works

20 of 20 papers shown
1.
Robinson, A., Ryan D. Huff, Min Hyung Ryu, & Chris Carlsten. (2023). Variants in transient receptor potential channels and toll-like receptors modify airway responses to allergen and air pollution: a randomized controlled response human exposure study. Respiratory Research. 24(1). 218–218. 2 indexed citations
2.
Robinson, A. & James E. Ussher. (2016). Preparation of positive blood cultures for direct MALDI-ToF MS identification. Journal of Microbiological Methods. 127. 74–76. 9 indexed citations
3.
Robinson, A., Natalie J. Medlicott, & James E. Ussher. (2016). The Rapid Detection of Cefotaxime-Resistant Enterobacteriaceae by HPLC. Future Science OA. 2(4). FSO142–FSO142. 1 indexed citations
4.
Gorringe, Andrew, et al.. (2006). Analysis of the human Ig isotype response to individual transferrin binding proteins A and B from Neisseria meningitidis. FEMS Immunology & Medical Microbiology. 19(2). 159–167. 3 indexed citations
5.
Reddin, Karen M., et al.. (2001). Bordetella pertussisfimbriae are effective carrier proteins inNeisseria meningitidisserogroup C conjugate vaccines. FEMS Immunology & Medical Microbiology. 31(2). 153–162. 6 indexed citations
6.
Sheard, P.R., et al.. (2001). Factors affecting the composition and amount of ‘white exudate’ from cooked bacon. Meat Science. 59(4). 423–435. 3 indexed citations
7.
Gorringe, Andrew, et al.. (1999). Analysis of the human Ig isotype response to lactoferrin binding protein A fromNeisseria meningitidis. FEMS Immunology & Medical Microbiology. 25(4). 349–354. 10 indexed citations
8.
Reddin, Karen M., et al.. (1995). Studies on the immunogenicity of the Pla protein from Yersinia pestis.. PubMed. 13. 214–5. 14 indexed citations
9.
Williamson, E. Diane, Kate F. Griffin, Michael J. Green, et al.. (1995). A new improved sub-unit vaccine for plague: the basis of protection. FEMS Immunology & Medical Microbiology. 12(3-4). 223–230. 189 indexed citations
10.
11.
Funnell, Simon G. P. & A. Robinson. (1993). A novel adherence assay forBordetella pertussisusing tracheal organ cultures. FEMS Microbiology Letters. 110(2). 197–203. 24 indexed citations
12.
Irons, L.I., et al.. (1993). Localisation of a receptor‐recognition domain on the S3 subunit of pertussis toxin by peptide mapping. European Journal of Biochemistry. 211(3). 743–748. 4 indexed citations
13.
Robinson, A. & Simon G. P. Funnell. (1992). Potency testing of acellular pertussis vaccines. Vaccine. 10(3). 139–141. 17 indexed citations
14.
Gorringe, Andrew, et al.. (1992). Intranasal infection of infant mice with Neisseria meningitidis. Microbial Pathogenesis. 12(6). 415–420. 32 indexed citations
15.
Roberts, Mark, Neil F. Fairweather, Elizabeth C. Leininger, et al.. (1991). Construction and characterization of Bordetella pertussis mutants lacking the vir‐regulated P.69 outer membrane protein. Molecular Microbiology. 5(6). 1393–1404. 77 indexed citations
16.
Ashworth, L.A.E., et al.. (1988). Trial of a new acellular pertussis vaccine in healthy adult volunteers. Vaccine. 6(1). 29–32. 43 indexed citations
17.
Livey, Ian, Clive J. Duggleby, & A. Robinson. (1987). Cloning and nucleotide sequence analysis of the serotype 2 fimbrial subunit gene of Bordetella pertussis. Molecular Microbiology. 1(2). 203–203. 66 indexed citations
18.
Gorringe, Andrew, L.A.E. Ashworth, L.I. Irons, & A. Robinson. (1985). Effect of monoclonal antibodies on the adherence of Bordetella pertussis to Vero cells. FEMS Microbiology Letters. 26(1). 5–9. 25 indexed citations
19.
Robinson, A., Andrew Gorringe, L.I. Irons, & C. W. Keevil. (1983). Antigenic modulation ofBordetella pertussisin continuous culture. FEMS Microbiology Letters. 19(1). 105–109. 14 indexed citations
20.
Robinson, A. & John Buckler. (1965). EMERGENCY HYPOTHERMIA IN MENINGOCOCCAL MENINGITIS. The Lancet. 285(7376). 81–83. 8 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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