Tom Nichols

2.2k total citations
42 papers, 1.6k citations indexed

About

Tom Nichols is a scholar working on Epidemiology, General Health Professions and Microbiology. According to data from OpenAlex, Tom Nichols has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in General Health Professions and 8 papers in Microbiology. Recurrent topics in Tom Nichols's work include Cervical Cancer and HPV Research (10 papers), Reproductive tract infections research (7 papers) and Antibiotic Use and Resistance (7 papers). Tom Nichols is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), Reproductive tract infections research (7 papers) and Antibiotic Use and Resistance (7 papers). Tom Nichols collaborates with scholars based in United Kingdom, Maldives and Canada. Tom Nichols's co-authors include Cliodna McNulty, Peter Davey, Patrick Davey, Paul Boyle, Jennifer Hollowell, Anna Hansell, David P. Strachan, David French, Puja Joshi and Christopher Butler and has published in prestigious journals such as The Lancet, BMJ and American Journal of Obstetrics and Gynecology.

In The Last Decade

Tom Nichols

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Nichols United Kingdom 21 619 571 331 188 185 42 1.6k
Robert J. Rydman United States 24 247 0.4× 450 0.8× 279 0.8× 182 1.0× 49 0.3× 49 2.0k
Monina Bartoces United States 20 664 1.1× 535 0.9× 397 1.2× 132 0.7× 78 0.4× 38 1.5k
Morten Lindbæk Norway 28 607 1.0× 846 1.5× 507 1.5× 244 1.3× 60 0.3× 117 2.3k
Anurag N. Malani United States 25 638 1.0× 1.2k 2.1× 246 0.7× 125 0.7× 73 0.4× 96 2.2k
Daniel J. Shapiro United States 25 814 1.3× 1.2k 2.0× 344 1.0× 314 1.7× 45 0.2× 79 2.3k
Akke K. van der Bij Netherlands 25 186 0.3× 703 1.2× 249 0.8× 68 0.4× 258 1.4× 43 2.1k
Caroline Marshall Australia 28 464 0.7× 596 1.0× 404 1.2× 228 1.2× 60 0.3× 120 2.3k
Matthew P. Kronman United States 25 570 0.9× 1.2k 2.1× 217 0.7× 356 1.9× 94 0.5× 104 2.6k
Gabriella Di Giuseppe Italy 29 316 0.5× 831 1.5× 276 0.8× 123 0.7× 66 0.4× 86 2.1k
Anucha Apisarnthanarak Thailand 24 340 0.5× 575 1.0× 217 0.7× 250 1.3× 62 0.3× 71 1.9k

Countries citing papers authored by Tom Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Tom Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Nichols. A scholar is included among the top collaborators of Tom Nichols 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 Tom Nichols. Tom Nichols 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.
Lecky, Donna M, Tom Nichols, Peter M. Hawkey, et al.. (2017). Informing future research for carriage of multiresistant Gram-negative bacteria: problems with recruiting to an English stool sample community prevalence study. BMJ Open. 7(12). e017947–e017947. 3 indexed citations
2.
Woodhall, Sarah C, Tom Nichols, Sarah Alexander, et al.. (2015). Can we use postal surveys with anonymous testing to monitor chlamydia prevalence in young women in England? Pilot study incorporating randomised controlled trial of recruitment methods: Table 1. Sexually Transmitted Infections. 91(6). 412–414. 4 indexed citations
3.
McNulty, Cliodna, Tom Nichols, David French, Puja Joshi, & Christopher Butler. (2013). Expectations for consultations and antibiotics for respiratory tract infection in primary care: the RTI clinical iceberg. British Journal of General Practice. 63(612). e429–e436. 139 indexed citations
4.
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6.
Hughes, Gwenda, Tom Nichols, & C A Ison. (2011). Estimating the prevalence of gonococcal resistance to antimicrobials in England and Wales. Sexually Transmitted Infections. 87(6). 526–531. 14 indexed citations
7.
McNulty, Cliodna, et al.. (2010). The English antibiotic awareness campaigns: did they change the public's knowledge of and attitudes to antibiotic use?. Journal of Antimicrobial Chemotherapy. 65(7). 1526–1533. 84 indexed citations
8.
Delpech, Valérie, Iona M. C. Martin, Gwenda Hughes, et al.. (2009). Epidemiology and clinical presentation of gonorrhoea in England and Wales: findings from the Gonococcal Resistance to Antimicrobials Surveillance Programme 2001-2006. Sexually Transmitted Infections. 85(5). 317–321. 18 indexed citations
9.
Bone, Angie, Fortune Ncube, Tom Nichols, & Norman Noah. (2008). Body piercing in England: a survey of piercing at sites other than earlobe. BMJ. 336(7658). 1426–1428. 78 indexed citations
10.
McNulty, Cliodna, et al.. (2007). Don't wear me out--the public's knowledge of and attitudes to antibiotic use. Journal of Antimicrobial Chemotherapy. 59(4). 727–738. 218 indexed citations
11.
McNulty, Cliodna, et al.. (2007). The public's attitudes to and compliance with antibiotics. Journal of Antimicrobial Chemotherapy. 60(suppl_1). i63–i68. 175 indexed citations
12.
Gjini, Ardiana, José L. Cohen, Mark Jacobs, et al.. (2006). Quality of in-hospital care for adults with acute bacterial meningitis: a national retrospective survey. QJM. 99(11). 761–769. 9 indexed citations
13.
Khosla, Deepak & Tom Nichols. (2006). Hybrid evolutionary algorithms for network-centric command and control. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6249. 624902–624902. 2 indexed citations
14.
Joseph, Carol, Suzanne Elgohari, Tom Nichols, & Neville Q. Verlander. (2005). Influenza vaccine uptake in adults aged 50–64 years: Policy and practice in England 2003/2004. Vaccine. 24(11). 1786–1791. 5 indexed citations
15.
McNulty, Cliodna, et al.. (2003). Laboratory diagnosis of urinary symptoms in primary care--a qualitative study.. PubMed. 6(1). 44–50. 7 indexed citations
16.
Fenton, Kevin, C A Ison, Alan P. Johnson, et al.. (2003). Ciprofloxacin resistance in Neisseria gonorrhoeae in England and Wales in 2002. The Lancet. 361(9372). 1867–1869. 67 indexed citations
17.
Hansell, Anna, et al.. (2003). Validity and interpretation of mortality, health service and survey data on COPD and asthma in England. European Respiratory Journal. 21(2). 279–286. 25 indexed citations
18.
Nichols, Tom, et al.. (2003). Foot and Mouth Disease in Livestock and Reduced Cryptosporidiosis in Humans, England and Wales. Emerging infectious diseases. 9(1). 22–28. 38 indexed citations
19.
Cartwright, K, et al.. (2002). Workload and stress in consultant medical microbiologists and virologists: a questionnaire survey. Journal of Clinical Pathology. 55(3). 200–205. 16 indexed citations
20.

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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