Helen Ashwin

1.1k total citations
29 papers, 735 citations indexed

About

Helen Ashwin is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Helen Ashwin has authored 29 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Helen Ashwin's work include Research on Leishmaniasis Studies (6 papers), Pesticide Residue Analysis and Safety (5 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). Helen Ashwin is often cited by papers focused on Research on Leishmaniasis Studies (6 papers), Pesticide Residue Analysis and Safety (5 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). Helen Ashwin collaborates with scholars based in United Kingdom, Netherlands and United States. Helen Ashwin's co-authors include Matthew Sharman, Sara Stead, Mark H. Wilcox, Christopher Longshaw, Kerrie Davies, D.A. BURNS, Georgina Davis, Brendan J. Keely, J. A. Tarbin and Christopher T. Elliott and has published in prestigious journals such as Nature Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Helen Ashwin

26 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Ashwin United Kingdom 13 227 212 170 161 114 29 735
Sanil D. Singh South Africa 19 239 1.1× 257 1.2× 172 1.0× 92 0.6× 63 0.6× 45 907
Christopher P. Randall United Kingdom 14 145 0.6× 392 1.8× 43 0.3× 87 0.5× 52 0.5× 25 852
Lu Sun China 14 241 1.1× 185 0.9× 83 0.5× 40 0.2× 71 0.6× 68 845
Stefano Mancini Switzerland 14 173 0.8× 296 1.4× 130 0.8× 95 0.6× 76 0.7× 43 1.0k
Estrella Rojo‐Molinero Spain 13 151 0.7× 606 2.9× 122 0.7× 155 1.0× 48 0.4× 26 1.1k
Christoph Slavetinsky Germany 9 313 1.4× 632 3.0× 90 0.5× 30 0.2× 166 1.5× 22 1.1k
M.J Renedo Spain 16 66 0.3× 216 1.0× 63 0.4× 96 0.6× 115 1.0× 20 813
Feng Xue China 18 84 0.4× 598 2.8× 64 0.4× 251 1.6× 37 0.3× 54 1.1k
Aref Shariati Iran 16 139 0.6× 209 1.0× 61 0.4× 108 0.7× 43 0.4× 38 757

Countries citing papers authored by Helen Ashwin

Since Specialization
Citations

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

Fields of papers citing papers by Helen Ashwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Ashwin

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Ashwin. A scholar is included among the top collaborators of Helen Ashwin 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 Helen Ashwin. Helen Ashwin 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.
Ashwin, Helen, Jovana Sádlová, Barbora Vojtková, et al.. (2024). Safety and reactogenicity of a controlled human infection model of sand fly-transmitted cutaneous leishmaniasis. Nature Medicine. 30(11). 3150–3162. 5 indexed citations
2.
Ashwin, Helen, Joaquim Majó Fernández, Andrew Filby, et al.. (2023). Downregulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19. Clinical & Experimental Immunology. 212(3). 262–275. 6 indexed citations
3.
McDonald, David, Amanda Thomson, Catharien M. U. Hilkens, et al.. (2023). Distinct lung cell signatures define the temporal evolution of diffuse alveolar damage in fatal COVID-19. EBioMedicine. 99. 104945–104945. 2 indexed citations
4.
Ashwin, Helen, Julie Wilson, Joaquim Majó Fernández, et al.. (2023). Identification of a protein expression signature distinguishing early from organising diffuse alveolar damage in COVID-19 patients. Journal of Clinical Pathology. 76(8). 561–565.
5.
Ashwin, Helen, Jovana Sádlová, Barbora Vojtková, et al.. (2021). Characterization of a new Leishmania major strain for use in a controlled human infection model. Nature Communications. 12(1). 215–215. 34 indexed citations
6.
Ashwin, Helen, et al.. (2021). Spatial Point Pattern Analysis Identifies Mechanisms Shaping the Skin Parasite Landscape in Leishmania donovani Infection. Frontiers in Immunology. 12. 795554–795554. 3 indexed citations
7.
Romano, Audrey, Najmeeyah Brown, Helen Ashwin, et al.. (2021). Interferon-γ-Producing CD4+ T Cells Drive Monocyte Activation in the Bone Marrow During Experimental Leishmania donovani Infection. Frontiers in Immunology. 12. 700501–700501. 10 indexed citations
8.
Brown, Najmeeyah, et al.. (2017). TNF signalling drives expansion of bone marrow CD4+ T cells responsible for HSC exhaustion in experimental visceral leishmaniasis. PLoS Pathogens. 13(7). e1006465–e1006465. 20 indexed citations
9.
Chilton, C. H., G. S. Crowther, Helen Ashwin, Christopher Longshaw, & Mark H. Wilcox. (2016). Association of Fidaxomicin with C. difficile Spores: Effects of Persistence on Subsequent Spore Recovery, Outgrowth and Toxin Production. PLoS ONE. 11(8). e0161200–e0161200. 27 indexed citations
10.
11.
Chilton, C. H., G. S. Crowther, S. L. Todhunter, et al.. (2015). Efficacy of alternative fidaxomicin dosing regimens for treatment of simulatedClostridium difficileinfection in anin vitrohuman gut model. Journal of Antimicrobial Chemotherapy. 70(9). 2598–2607. 23 indexed citations
12.
Bryan, Nicholas, Helen Ashwin, Neil Smart, et al.. (2014). Characterisation and Comparison of the Host Response of 6 Tissue-Based Surgical Implants in a Subcutaneous in vivo Rat Model. Journal of Applied Biomaterials & Functional Materials. 13(1). 35–42. 8 indexed citations
13.
Bryan, Nicholas, Helen Ashwin, Rui Chen, et al.. (2013). Evaluation of six synthetic surgical meshes implanted subcutaneously in a rat model. Journal of Tissue Engineering and Regenerative Medicine. 10(10). E305–E315. 4 indexed citations
14.
Bryan, Nicholas, Helen Ashwin, Neil Smart, et al.. (2012). The innate oxygen dependant immune pathway as a sensitive parameter to predict the performance of biological graft materials. Biomaterials. 33(27). 6380–6392. 31 indexed citations
15.
Rijk, Jeroen C.W., Helen Ashwin, Sandra van Kuijk, et al.. (2010). Bioassay based screening of steroid derivatives in animal feed and supplements. Analytica Chimica Acta. 700(1-2). 183–188. 7 indexed citations
16.
Stead, Sara, Helen Ashwin, Brian H. Johnston, et al.. (2010). An RNA-Aptamer-Based Assay for the Detection and Analysis of Malachite Green and Leucomalachite Green Residues in Fish Tissue. Analytical Chemistry. 82(7). 2652–2660. 83 indexed citations
17.
Stead, Sara, Helen Ashwin, Brian H. Johnston, et al.. (2010). An RNA Aptamer Based Assay for the Detection and Analysis of Malachite Green and Leucomalachite Green Residues in Fish Tissue. Analytical Chemistry. 82(13). 5915–5915.
18.
Ashwin, Helen, Sara Stead, Matthew Sharman, et al.. (2008). A rapid microbial inhibition-based screening strategy for fluoroquinolone and quinolone residues in foods of animal origin. Analytica Chimica Acta. 637(1-2). 241–246. 30 indexed citations
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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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