Joe Conner

2.9k total citations
71 papers, 2.3k citations indexed

About

Joe Conner is a scholar working on Genetics, Epidemiology and Oncology. According to data from OpenAlex, Joe Conner has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 27 papers in Epidemiology and 16 papers in Oncology. Recurrent topics in Joe Conner's work include Virus-based gene therapy research (36 papers), Herpesvirus Infections and Treatments (26 papers) and Cytomegalovirus and herpesvirus research (15 papers). Joe Conner is often cited by papers focused on Virus-based gene therapy research (36 papers), Herpesvirus Infections and Treatments (26 papers) and Cytomegalovirus and herpesvirus research (15 papers). Joe Conner collaborates with scholars based in United Kingdom, United States and Slovakia. Joe Conner's co-authors include P.D. Eckersall, Tonia Douglas, George Zachos, A. Wiseman, Julie Ferguson, Hugh J. Willison, J. Barklie Clements, T Aitchison, Eric R. Wagner and Timothy P. Cripe and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Joe Conner

70 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Conner United Kingdom 27 592 552 493 457 443 71 2.3k
Alessandro Poli Italy 34 728 1.2× 660 1.2× 1.1k 2.2× 587 1.3× 429 1.0× 182 3.9k
Dorothy E. Scott United States 31 290 0.5× 283 0.5× 663 1.3× 886 1.9× 389 0.9× 73 3.7k
Brian C. Gilger United States 35 338 0.6× 405 0.7× 486 1.0× 870 1.9× 87 0.2× 230 4.3k
S M Phillips United States 31 412 0.7× 350 0.6× 697 1.4× 525 1.1× 210 0.5× 121 3.2k
Jean‐Pierre Y. Scheerlinck Australia 33 191 0.3× 317 0.6× 667 1.4× 1.0k 2.2× 169 0.4× 88 3.5k
Yoshiyasu KOBAYASHI Japan 24 142 0.2× 153 0.3× 431 0.9× 355 0.8× 175 0.4× 181 2.0k
W. Hein Switzerland 34 209 0.4× 636 1.2× 315 0.6× 672 1.5× 198 0.4× 132 4.0k
R A Prendergast United States 32 284 0.5× 108 0.2× 617 1.3× 750 1.6× 150 0.3× 95 3.6k
Tsutomu Nishizawa Japan 50 1.2k 2.1× 952 1.7× 1.8k 3.6× 1.7k 3.7× 549 1.2× 123 10.1k
M. Reinacher Germany 27 998 1.7× 183 0.3× 765 1.6× 547 1.2× 124 0.3× 123 2.7k

Countries citing papers authored by Joe Conner

Since Specialization
Citations

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

Fields of papers citing papers by Joe Conner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Conner

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Conner. A scholar is included among the top collaborators of Joe Conner 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 Joe Conner. Joe Conner 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.
Arevalo, José A., Max A. Thorwald, Kaitlin Allen, et al.. (2025). Age-related declines in mitochondrial Prdx6 contribute to dysregulated muscle bioenergetics. Redox Biology. 86. 103808–103808.
2.
Tazzyman, Simon, Darren Lath, Joe Conner, et al.. (2023). HSV1716 Prevents Myeloma Cell Regrowth When Combined with Bortezomib In Vitro and Significantly Reduces Systemic Tumor Growth in Mouse Models. Viruses. 15(3). 603–603. 4 indexed citations
3.
Wedekind, Mary Frances, Katherine E. Miller, Chun‐Yu Chen, et al.. (2021). Endogenous retrovirus envelope as a tumor-associated immunotherapeutic target in murine osteosarcoma. iScience. 24(7). 102759–102759. 4 indexed citations
4.
Streby, Keri A., James I. Geller, Mark A. Currier, et al.. (2017). Intratumoral Injection of HSV1716, an Oncolytic Herpes Virus, Is Safe and Shows Evidence of Immune Response and Viral Replication in Young Cancer Patients. Clinical Cancer Research. 23(14). 3566–3574. 109 indexed citations
5.
Danson, Sarah, Penella J. Woll, John Edwards, et al.. (2017). Oncolytic herpesvirus therapy for mesothelioma: A phase I/IIa trial of intrapleural administration of HSV1716 (NCT01721018). Annals of Oncology. 28. v122–v122. 8 indexed citations
6.
Cockle, Julia, Anke Brüning‐Richardson, Karen J. Scott, et al.. (2017). Oncolytic Herpes Simplex Virus Inhibits Pediatric Brain Tumor Migration and Invasion. Molecular Therapy — Oncolytics. 5. 75–86. 23 indexed citations
7.
Hutzen, Brian, Chun‐Yu Chen, Pin-Yi Wang, et al.. (2017). TGF-β Inhibition Improves Oncolytic Herpes Viroimmunotherapy in Murine Models of Rhabdomyosarcoma. Molecular Therapy — Oncolytics. 7. 17–26. 37 indexed citations
8.
Muthana, Munitta, Aneurin J. Kennerley, Russell Hughes, et al.. (2015). Directing cell therapy to anatomic target sites in vivo with magnetic resonance targeting. Nature Communications. 6(1). 8009–8009. 136 indexed citations
9.
Chen, Chun‐Yao, Brian Hutzen, Michael Arnold, et al.. (2015). Neuroblastomas vary widely in their sensitivities to herpes simplex virotherapy unrelated to virus receptors and susceptibility. Gene Therapy. 23(2). 135–143. 26 indexed citations
10.
Graham, Sheila V., et al.. (2013). Oncolytic herpes viruses, chemotherapeutics, and other cancer drugs. PubMed. 2. 57–57. 4 indexed citations
11.
Sørensen, Annette, Robert J. Mairs, Joe Conner, et al.. (2012). In Vivo Evaluation of a Cancer Therapy Strategy Combining HSV1716-Mediated Oncolysis with Gene Transfer and Targeted Radiotherapy. Journal of Nuclear Medicine. 53(4). 647–654. 15 indexed citations
12.
13.
Zachos, George, et al.. (1999). Herpes Simplex Virus Type 1 Infection Stimulates p38/c-Jun N-terminal Mitogen-activated Protein Kinase Pathways and Activates Transcription Factor AP-1. Journal of Biological Chemistry. 274(8). 5097–5103. 154 indexed citations
14.
Goodyear, Carl S., Graham M. O’Hanlon, Jaap J. Plomp, et al.. (1999). Monoclonal antibodies raised against Guillain-Barré syndrome–associated Campylobacter jejuni lipopolysaccharides react with neuronal gangliosides and paralyze muscle-nerve preparations. Journal of Clinical Investigation. 104(6). 697–708. 159 indexed citations
15.
Millhouse, Scott, et al.. (1998). Spl and related factors fail to interact with the NF-kB-proximal G/C box in the LTR of a replication competent, brain-derived strain of HIV-1 (YU-2). Journal of NeuroVirology. 4(3). 312–323. 11 indexed citations
16.
Conner, Joe, Jill Murray, A Cross, J. Barklie Clements, & H. S. Marsden. (1995). Intracellular Localisation of Herpes Simplex Virus Type 1 Ribonucleotide Reductase Subunits during Infection of Cultured Cells. Virology. 213(2). 615–623. 15 indexed citations
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19.
Munroe, Graham, et al.. (1990). Conjunctival and nasal amyloidosis in a horse. Equine Veterinary Journal. 22(S10). 8–11. 8 indexed citations
20.
Eckersall, P.D. & Joe Conner. (1988). Bovine and canine acute phase proteins. Veterinary Research Communications. 12(2-3). 169–178. 221 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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