Steve Gray

3.1k total citations
42 papers, 1.3k citations indexed

About

Steve Gray is a scholar working on Microbiology, Epidemiology and Physiology. According to data from OpenAlex, Steve Gray has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Microbiology, 29 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Steve Gray's work include Bacterial Infections and Vaccines (30 papers), Pneumonia and Respiratory Infections (26 papers) and Infective Endocarditis Diagnosis and Management (6 papers). Steve Gray is often cited by papers focused on Bacterial Infections and Vaccines (30 papers), Pneumonia and Respiratory Infections (26 papers) and Infective Endocarditis Diagnosis and Management (6 papers). Steve Gray collaborates with scholars based in United Kingdom, United States and Czechia. Steve Gray's co-authors include Ray Borrow, Shamez Ladhani, Jay Lucidarme, Mary Ramsay, Helen Campbell, Ed Kaczmarski, Kazim Beebeejaun, Jamie Findlow, Martin Maiden and Yixin Wang and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and FEBS Letters.

In The Last Decade

Steve Gray

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Gray United Kingdom 18 937 875 144 121 115 42 1.3k
Qianqiu Wang China 18 323 0.3× 332 0.4× 85 0.6× 57 0.5× 205 1.8× 73 863
Liu Gui United States 15 137 0.1× 861 1.0× 128 0.9× 26 0.2× 43 0.4× 55 1.3k
Victoria Pope United States 14 384 0.4× 230 0.3× 55 0.4× 23 0.2× 98 0.9× 33 865
Giulia Ciccarese Italy 21 157 0.2× 534 0.6× 131 0.9× 25 0.2× 38 0.3× 100 1.2k
Deepthi Jayawardene United States 17 95 0.1× 502 0.6× 54 0.4× 54 0.4× 102 0.9× 30 1.1k
Louise Cadman United Kingdom 25 381 0.4× 1.8k 2.0× 454 3.2× 36 0.3× 29 0.3× 33 1.9k
Berit Feiring Norway 15 433 0.5× 782 0.9× 62 0.4× 16 0.1× 15 0.1× 38 1.0k
S. M. Burns United Kingdom 19 170 0.2× 873 1.0× 35 0.2× 24 0.2× 118 1.0× 51 1.4k
Peizhen Zhao China 15 120 0.1× 285 0.3× 65 0.5× 53 0.4× 102 0.9× 68 622
Noah Kojima United States 14 240 0.3× 293 0.3× 51 0.4× 25 0.2× 113 1.0× 40 881

Countries citing papers authored by Steve Gray

Since Specialization
Citations

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

Fields of papers citing papers by Steve Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Gray. A scholar is included among the top collaborators of Steve Gray 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 Steve Gray. Steve Gray 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.
Lucidarme, Jay, et al.. (2021). Increase in penicillin-resistant invasive meningococcal serogroup W ST-11 complex isolates in England. Vaccine. 39(19). 2719–2729. 10 indexed citations
2.
Francis, Jeremy S., Vladimir Markov, Steve Gray, et al.. (2021). Preclinical biodistribution, tropism, and efficacy of oligotropic AAV/Olig001 in a mouse model of congenital white matter disease. Molecular Therapy — Methods & Clinical Development. 20. 520–534. 29 indexed citations
4.
Beebeejaun, Kazim, Sydel R. Parikh, Helen Campbell, et al.. (2020). Invasive meningococcal disease: Timing and cause of death in England, 2008–2015. Journal of Infection. 80(3). 286–290. 17 indexed citations
5.
Clark, S. A., Jay Lucidarme, Begonia Morales‐Aza, et al.. (2019). Outbreak strain characterisation and pharyngeal carriage detection following a protracted group B meningococcal outbreak in adolescents in South-West England. Scientific Reports. 9(1). 9990–9990. 7 indexed citations
6.
Ladhani, Shamez, Helen Campbell, Jay Lucidarme, et al.. (2019). Invasive meningococcal disease in patients with complement deficiencies: a case series (2008–2017). BMC Infectious Diseases. 19(1). 522–522. 31 indexed citations
7.
Campbell, Helen, Nick Andrews, Sydel R. Parikh, et al.. (2019). Variable clinical presentation by the main capsular groups causing invasive meningococcal disease in England. Journal of Infection. 80(2). 182–189. 14 indexed citations
8.
Cleary, Paul, N Calvert, Sarah Gee, et al.. (2015). Variations inNeisseria meningitidiscarriage by socioeconomic status: a cross-sectional study. Journal of Public Health. 38(1). 61–70. 9 indexed citations
9.
Lucidarme, Jay, Dorothea M. C. Hill, Holly B. Bratcher, et al.. (2015). Genomic resolution of an aggressive, widespread, diverse and expanding meningococcal serogroup B, C and W lineage. Journal of Infection. 71(5). 544–552. 163 indexed citations
10.
Borrow, Ray, Jamie Findlow, Steve Gray, Stephen Taylor, & Ed Kaczmarski. (2014). Safe laboratory handling of Neisseria meningitidis. Journal of Infection. 68(4). 305–312. 23 indexed citations
11.
Ladhani, Shamez, Kazim Beebeejaun, Jay Lucidarme, et al.. (2014). Increase in Endemic Neisseria meningitidis Capsular Group W Sequence Type 11 Complex Associated With Severe Invasive Disease in England and Wales. Clinical Infectious Diseases. 60(4). 578–585. 168 indexed citations
12.
Heinsbroek, Ellen, Shamez Ladhani, Steve Gray, et al.. (2013). Added value of PCR-testing for confirmation of invasive meningococcal disease in England. Journal of Infection. 67(5). 385–390. 48 indexed citations
13.
Harrison, Odile B., Nicholas J. Evans, Jessica M. A. Blair, et al.. (2009). Epidemiological Evidence for the Role of the Hemoglobin Receptor, HmbR, in Meningococcal Virulence. The Journal of Infectious Diseases. 200(1). 94–98. 31 indexed citations
14.
Gray, Steve. (2006). Epidemiology of meningococcal disease in England and Wales 1993/94 to 2003/04: contribution and experiences of the Meningococcal Reference Unit. Journal of Medical Microbiology. 55(7). 887–896. 169 indexed citations
16.
Gray, Steve, et al.. (2004). Evaluating the potential impact of community pharmacy interventions on patient care in Northumberland. Quality in primary care. 12(1). 4 indexed citations
17.
Gray, Steve, et al.. (2003). Saliva and Meningococcal Transmission. Emerging infectious diseases. 9(10). 1314–1315. 3 indexed citations
18.
Stuart, James M., et al.. (2001). Risk of laboratory-acquired meningococcal disease. Journal of Hospital Infection. 49(4). 282–284. 29 indexed citations
19.
Fox, Andrew J., D. M. Jones, Steve Gray, Dominique A. Caugant, & Nicholas A. Saunders. (1991). An epidemiologically valuable typing method for Neisseria meningitidis by analysis of restriction fragment length polymorphisms. Journal of Medical Microbiology. 34(5). 265–270. 23 indexed citations
20.
Miller, Robert E., Charles M. Myer, & Steve Gray. (1988). Otolaryngologic manifestations of chronic granulomatous disease. American Journal of Otolaryngology. 9(2). 79–82. 7 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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