Jonathan Appleby

703 total citations
11 papers, 369 citations indexed

About

Jonathan Appleby is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jonathan Appleby has authored 11 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Jonathan Appleby's work include Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). Jonathan Appleby is often cited by papers focused on Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). Jonathan Appleby collaborates with scholars based in United Kingdom, Italy and United States. Jonathan Appleby's co-authors include Jonathan Bullman, Robert Lai, Mike Aylott, Pauline Williams, Boris A. Chizh, Jie Wang, Antonella Napolitano, B.A. Chizh, G.A. Lambert and Janet L. Davis and has published in prestigious journals such as Pain, Molecular Therapy and Journal of Pain.

In The Last Decade

Jonathan Appleby

10 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Appleby United Kingdom 7 180 174 81 67 67 11 369
Yasuko Kozaki Japan 9 218 1.2× 59 0.3× 161 2.0× 24 0.4× 36 0.5× 15 472
Gianluca Cipriani Italy 11 105 0.6× 28 0.2× 90 1.1× 21 0.3× 17 0.3× 23 414
Leen Thielemans Belgium 14 184 1.0× 23 0.1× 113 1.4× 36 0.5× 19 0.3× 31 627
Fenye Liu China 12 28 0.2× 72 0.4× 107 1.3× 67 1.0× 66 1.0× 20 424
Lenka Surdenikova Slovakia 6 283 1.6× 272 1.6× 153 1.9× 45 0.7× 15 0.2× 7 789
Cristina Plata Spain 10 87 0.5× 248 1.4× 201 2.5× 20 0.3× 11 0.2× 11 466
Elisângela Bressan Brazil 11 137 0.8× 47 0.3× 78 1.0× 15 0.2× 17 0.3× 18 309
Mariola Lysson Germany 12 88 0.5× 13 0.1× 96 1.2× 15 0.2× 72 1.1× 19 601
Ann‐Charlott Ericson Sweden 10 142 0.8× 32 0.2× 87 1.1× 7 0.1× 15 0.2× 17 375

Countries citing papers authored by Jonathan Appleby

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Appleby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Appleby

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Appleby. A scholar is included among the top collaborators of Jonathan Appleby 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 Jonathan Appleby. Jonathan Appleby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Bazot, Quentin, Mohamed El Sayed, Lily Li, et al.. (2025). The manufacture of AAV for gene therapy applications using a closed, semi-automated hollow-fiber bioreactor. Molecular Therapy — Methods & Clinical Development. 33(2). 101496–101496.
2.
Stirnadel-Farrant, Heide A., Mahesh Kudari, Bikramjit Chopra, et al.. (2018). Gene therapy in rare diseases: the benefits and challenges of developing a patient-centric registry for Strimvelis in ADA-SCID. Orphanet Journal of Rare Diseases. 13(1). 49–49. 23 indexed citations
3.
Cicalese, Maria Pia, Francesca Ferrua, Katie Rolfe, et al.. (2018). Gene Therapy for Adenosine Deaminase Deficiency: A Comprehensive Evaluation of Short- and Medium-Term Safety. Molecular Therapy. 26(3). 917–931. 45 indexed citations
5.
Lambert, G.A., et al.. (2009). The effects of the TRPV1 receptor antagonist SB-705498 on trigeminovascular sensitisation and neurotransmission. Naunyn-Schmiedeberg s Archives of Pharmacology. 380(4). 311–325. 49 indexed citations
6.
Palmer, James A., Robert Lai, Nicola Thomas, et al.. (2009). 701 RANDOMISED, PLACEBO‐CONTROLLED, PARALLEL‐GROUP STUDY OF THE EFFECT OF SB‐705498, A TRPV1 RECEPTOR ANTAGONIST, ON PAIN FOLLOWING THIRD MOLAR TOOTH EXTRACTION. European Journal of Pain. 13(S1). 1 indexed citations
7.
Chizh, B.A., James A. Palmer, Robert Lai, et al.. (2009). 702 A RANDOMISED, TWO‐PERIOD CROSS‐OVER STUDY TO INVESTIGATE THE EFFICACY OF THE TRPV1 ANTAGONIST SB‐705498 IN ACUTE MIGRAINE. European Journal of Pain. 13(S1). 20 indexed citations
8.
Chizh, Boris A., Antonella Napolitano, Jie Wang, et al.. (2007). The effects of the TRPV1 antagonist SB-705498 on TRPV1 receptor-mediated activity and inflammatory hyperalgesia in humans. Pain. 132(1). 132–141. 199 indexed citations
9.
Chizh, B.A., Antonio Napolitano, Mike O’Donnell, et al.. (2006). (765). Journal of Pain. 7(4). S42–S42. 10 indexed citations
10.
Cleator, I. G. M., et al.. (1993). Liver Biopsies Following Ileogastrostomy. Obesity Surgery. 3(3). 253–255. 6 indexed citations
11.
Birmingham, C. Laird, et al.. (1990). Follow-up of patients who have undergone ileogastrostomy.. PubMed. 33(1). 25–7. 5 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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