Ann Doherty

55 papers receiving 1.8k citations

Ann Doherty's Hit Papers

Repeated nebulisation of non-viral CFTR gene therapy in patients with cystic fibrosis: a randomised, double-blind, placebo-controlled, phase 2b trial 2015 · 349 citations
3490+3+7Years since publication100200300

Peers

Ann Doherty
Comparison fields: 5 of 69
  • Cancer Research 369
  • Pulmonary and Respiratory Medicine 408
  • Surgery 282
  • Genetics 108
  • Molecular Biology 189
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Jiping Zeng China
Xiaohou Wu China
Yijun Qi China
Yan Yu China
Takahiro Kawakami Japan
Maria Rosaria De Miglio Italy
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Haiping Yang China
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Countries citing papers authored by Ann Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Ann Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ann Doherty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ann Doherty Line = papers co-authored together Ann Doherty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Repeated nebulisation of non-viral CFTR gene therapy in patients with cystic fibrosis: a randomised, double-blind, placebo-controlled, phase 2b trial
Hit paper breakdown →
2015349
2 2004176
3 2016143
4 2016122
5 2013116
6 2001100
7 200498
8 201884
9 199361
10 200737
11 199636
12 201433
13 201633
14 201129
15 201729
16 202128
17 201627
18 202126
19 200922
20 201421

About Ann Doherty

Ann Doherty is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Genetics, Surgery and Molecular Biology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (36 papers), Cystic Fibrosis Research Advances (7 papers), Orthopaedic implants and arthroplasty (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (1 paper), Epigenetics and DNA Methylation (1 paper), 3D Printing in Biomedical Research (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (369 citations), Pulmonary and Respiratory Medicine (408 citations), Surgery (282 citations), Genetics (108 citations) and Molecular Biology (189 citations). Ann Doherty has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Rhiannon M. David, Charles Patrick Case, Roger B. Newson, Dariusz Ładoń, Manjit S. Bhamra, Shareen Heather Doak, Ben Fairman, Elizabeth M. Parry, Sian Ellard and Gareth J. S. Jenkins. Their work appears in journals such as Mutagenesis, Archives of Toxicology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Toxicological Sciences and Thorax.

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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