Hannah Smith

957 total citations
22 papers, 727 citations indexed

About

Hannah Smith is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hannah Smith has authored 22 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hannah Smith's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Hannah Smith is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Hannah Smith collaborates with scholars based in United States, United Kingdom and Colombia. Hannah Smith's co-authors include Paul J. Planet, Chanelle Ryan, Apurva Narechania, A. E. Weale, Sam Jonas, Alice Prince, Sergios‐Orestis Kolokotronis, Robert Sebra, Gintaras Deikus and Rosemary Greenwood and has published in prestigious journals such as Nature, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Hannah Smith

22 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Smith United States 15 308 286 133 113 97 22 727
Ali Hassoun United States 10 449 1.5× 214 0.7× 208 1.6× 81 0.7× 154 1.6× 42 784
Siamak Mirab Samiee Iran 17 256 0.8× 373 1.3× 130 1.0× 64 0.6× 104 1.1× 64 826
Christine Lawrence France 17 273 0.9× 281 1.0× 136 1.0× 72 0.6× 65 0.7× 45 843
Anju Kagal India 14 390 1.3× 97 0.3× 178 1.3× 127 1.1× 69 0.7× 39 737
João Paulo Telles Brazil 14 265 0.9× 155 0.5× 138 1.0× 49 0.4× 52 0.5× 53 661
Sanjay Gautam Australia 10 234 0.8× 131 0.5× 185 1.4× 83 0.7× 47 0.5× 28 459
Kyung Mok Sohn South Korea 14 678 2.2× 191 0.7× 289 2.2× 67 0.6× 90 0.9× 39 1.1k
Michael H. Woodworth United States 16 387 1.3× 354 1.2× 308 2.3× 119 1.1× 21 0.2× 51 874
Francesca Crea Italy 13 220 0.7× 88 0.3× 213 1.6× 97 0.9× 158 1.6× 21 612
M. G. Menozzi Italy 11 195 0.6× 132 0.5× 183 1.4× 185 1.6× 147 1.5× 18 668

Countries citing papers authored by Hannah Smith

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Smith. A scholar is included among the top collaborators of Hannah Smith 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 Hannah Smith. Hannah Smith 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.
Smith, Hannah, et al.. (2024). A second generation of senotherapies: the development of targeted senolytics, senoblockers and senoreversers for healthy ageing. Biochemical Society Transactions. 52(4). 1661–1671. 7 indexed citations
2.
Smith, Hannah, Michael J. Hamlin, & Catherine Elliot. (2022). Effect of High-Intensity Intermittent Hypoxic Training on 3-on-3 Female Basketball Player’s Performance. Journal of Science in Sport and Exercise. 4(4). 386–396. 4 indexed citations
3.
Wang, Yu, Hannah Smith, Evy Goossens, et al.. (2021). Diet diversity and environment determine the intestinal microbiome and bacterial pathogen load of fire salamanders. Scientific Reports. 11(1). 20493–20493. 12 indexed citations
4.
Chen, Hao, et al.. (2021). Genome-Wide Screening of Oxidizing Agent Resistance Genes in Escherichia coli. Antioxidants. 10(6). 861–861. 17 indexed citations
5.
Roberts, Stephanie, et al.. (2019). Topical Analgesic Improved or Maintained Ballistic Hip Flexion Range of Motion with Treated and Untreated Legs.. PubMed. 18(3). 552–558. 6 indexed citations
6.
Acker, Karen P., Tania Wong Fok Lung, Emily West, et al.. (2019). Strains of Staphylococcus aureus that Colonize and Infect Skin Harbor Mutations in Metabolic Genes. iScience. 19. 281–290. 31 indexed citations
7.
Huang, Min, et al.. (2019). Effects of inspiratory muscle training in advanced multiple sclerosis. Multiple Sclerosis and Related Disorders. 37. 101492–101492. 15 indexed citations
8.
Zachariah, Philip, Chanelle Ryan, Hannah Smith, et al.. (2018). Culture-Independent Analysis of Pediatric Bronchoalveolar Lavage Specimens. Annals of the American Thoracic Society. 15(9). 1047–1056. 8 indexed citations
9.
Shaman, Jeffrey, Haruka Morita, Ruthie Birger, et al.. (2017). Asymptomatic Summertime Shedding of Respiratory Viruses. The Journal of Infectious Diseases. 217(7). 1074–1077. 31 indexed citations
10.
Planet, Paul J., et al.. (2016). Viral Infections and Their Impact on the Respiratory Microbiome in Pediatric Patients with Cystic Fibrosis. Journal of Allergy and Clinical Immunology. 137(2). AB96–AB96. 1 indexed citations
11.
Planet, Paul J., Dane Parker, Taylor S. Cohen, et al.. (2016). Lambda Interferon Restructures the Nasal Microbiome and Increases Susceptibility to Staphylococcus aureus Superinfection. mBio. 7(1). e01939–15. 92 indexed citations
12.
Planet, Paul J., Lorena Díaz, Sergios‐Orestis Kolokotronis, et al.. (2015). Parallel Epidemics of Community-Associated Methicillin-ResistantStaphylococcus aureusUSA300 Infection in North and South America. The Journal of Infectious Diseases. 212(12). 1874–1882. 85 indexed citations
13.
VanWagoner, Timothy M., John M. Atack, Kevin L. Nelson, et al.. (2015). The modA10 phasevarion of nontypeable Haemophilus influenzae R2866 regulates multiple virulence-associated traits. Microbial Pathogenesis. 92. 60–67. 18 indexed citations
14.
Panesso, Diana, Paul J. Planet, Lorena Díaz, et al.. (2015). Methicillin-Susceptible, Vancomycin-ResistantStaphylococcus aureus, Brazil. Emerging infectious diseases. 21(10). 1844–1848. 33 indexed citations
15.
Smith, Hannah, et al.. (2013). “Affect of anaerobiosis on the antibiotic susceptibility of H. influenzae”. BMC Research Notes. 6(1). 241–241. 2 indexed citations
16.
17.
Jonas, Sam, et al.. (2012). Factors influencing length of stay following primary total knee replacement in a UK specialist orthopaedic centre. The Knee. 20(5). 310–315. 45 indexed citations
18.
Smith, Hannah, et al.. (2011). Informed consent in trauma: Does written information improve patient recall of risks? A prospective randomised study. Injury. 43(9). 1534–1538. 27 indexed citations
19.
Smith, Hannah, et al.. (2009). Return to work following knee arthroplasty. The Knee. 17(1). 19–22. 61 indexed citations
20.
Doyle, F. P., et al.. (1961). Some Novel Acid-stable Penicillins. Nature. 191(4793). 1091–1092. 45 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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