Julian Adlard

13.0k total citations
22 papers, 676 citations indexed

About

Julian Adlard is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Julian Adlard has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 9 papers in Pathology and Forensic Medicine and 8 papers in Genetics. Recurrent topics in Julian Adlard's work include Genetic factors in colorectal cancer (7 papers), Colorectal Cancer Treatments and Studies (7 papers) and Cancer Genomics and Diagnostics (4 papers). Julian Adlard is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Colorectal Cancer Treatments and Studies (7 papers) and Cancer Genomics and Diagnostics (4 papers). Julian Adlard collaborates with scholars based in United Kingdom, Australia and India. Julian Adlard's co-authors include Philip Quirke, Susan D. Richman, Michel Seymour, Angela Meade, Michael Braun, Mahesh Parmar, Catherine Daly, Jennifer H. Barrett, Richard Stephens and Faye Elliott and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Lancet Oncology.

In The Last Decade

Julian Adlard

22 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian Adlard United Kingdom 11 416 264 202 134 127 22 676
Luis T. Campos United States 13 441 1.1× 201 0.8× 114 0.6× 140 1.0× 145 1.1× 29 726
M Chazal France 14 563 1.4× 218 0.8× 241 1.2× 89 0.7× 227 1.8× 31 837
Peter Häusler Germany 10 527 1.3× 352 1.3× 139 0.7× 87 0.6× 128 1.0× 14 820
Patrick Johnston United Kingdom 12 460 1.1× 206 0.8× 159 0.8× 92 0.7× 142 1.1× 21 704
Rangaswamy Govindarajan United States 12 430 1.0× 427 1.6× 152 0.8× 189 1.4× 130 1.0× 39 973
E. Marcuello Spain 13 749 1.8× 521 2.0× 248 1.2× 113 0.8× 167 1.3× 38 1.1k
Hidekazu Kuramochi Japan 19 626 1.5× 247 0.9× 189 0.9× 180 1.3× 302 2.4× 77 1.0k
Patrick Roignot France 13 616 1.5× 357 1.4× 374 1.9× 250 1.9× 168 1.3× 34 1.0k
Lone Nørgård Pétersen Denmark 11 554 1.3× 301 1.1× 189 0.9× 116 0.9× 188 1.5× 19 805
Junichi Koike Japan 12 422 1.0× 435 1.6× 220 1.1× 426 3.2× 103 0.8× 60 961

Countries citing papers authored by Julian Adlard

Since Specialization
Citations

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

Fields of papers citing papers by Julian Adlard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Adlard

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Adlard. A scholar is included among the top collaborators of Julian Adlard 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 Julian Adlard. Julian Adlard 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.
Fraser, Sheila, Talat Mushtaq, Preetha Chengot, et al.. (2021). Homozygosity for the pathogenic RET hotspot variant p.Cys634Trp: A consanguineous family with MEN2A. European Journal of Medical Genetics. 64(2). 104141–104141. 6 indexed citations
2.
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4.
Adlard, Julian, Cathy Burton, & Philip Turton. (2019). Increasing Evidence for the Association of Breast Implant‐Associated Anaplastic Large Cell Lymphoma and Li Fraumeni Syndrome. SHILAP Revista de lepidopterología. 2019(1). 5647940–5647940. 25 indexed citations
5.
Watson, Christopher M., Laura A. Crinnion, Sarah Hewitt, et al.. (2019). Cas9-based enrichment and single-molecule sequencing for precise characterization of genomic duplications. Laboratory Investigation. 100(1). 135–146. 31 indexed citations
6.
Hutchins, Gordon, Caroline Young, Rachel Robinson, et al.. (2019). Additional loss of MSH2 and MSH6 expression in sporadic deficient mismatch repair colorectal cancer due to MLH1 promoter hypermethylation. Journal of Clinical Pathology. 72(6). 443–447. 16 indexed citations
7.
Watson, Christopher M., Laura A. Crinnion, Samuel Clokie, et al.. (2017). Increased Sensitivity of Diagnostic Mutation Detection by Re-analysis Incorporating Local Reassembly of Sequence Reads. Molecular Diagnosis & Therapy. 21(6). 685–692. 4 indexed citations
8.
Watson, Christopher M., Laura A. Crinnion, Agne Antanaviciute, et al.. (2017). Characterization and Genomic Localization of a SMAD4 Processed Pseudogene. Journal of Molecular Diagnostics. 19(6). 933–940. 4 indexed citations
9.
Watson, Christopher M., Laura A. Crinnion, Joanne Morgan, et al.. (2013). Robust Diagnostic Genetic Testing Using Solution Capture Enrichment and a Novel Variant‐Filtering Interface. Human Mutation. 35(4). 434–441. 28 indexed citations
10.
Allan, James M., Julian Adlard, Jonathan Bury, et al.. (2008). MLH1 −93G>A promoter polymorphism and risk of mismatch repair deficient colorectal cancer. International Journal of Cancer. 123(10). 2456–2459. 41 indexed citations
11.
Braun, Michael, Susan D. Richman, Julian Adlard, et al.. (2006). Association of topoisomerase-1 (Topo1) with the efficacy of chemotherapy in a randomized trial for advanced colorectal cancer patients (FOCUS). Journal of Clinical Oncology. 24(18_suppl). 10009–10009. 4 indexed citations
12.
Richman, Susan D., Michael Braun, Julian Adlard, et al.. (2006). Prognostic value of thymidylate synthase (TS) expression on failure-free survival of fluorouracil-treated metastatic colorectal cancer patients. Journal of Clinical Oncology. 24(18_suppl). 10011–10011. 5 indexed citations
13.
Adlard, Julian & Nigel Bundred. (2005). Radiotherapy for Ductal Carcinoma In Situ. Clinical Oncology. 18(3). 179–184. 7 indexed citations
14.
Adlard, Julian, Susan D. Richman, Patrick Royston, et al.. (2004). Assessment of multiple markers for association with response rate (RR) and failure-free survival (FFS) in patients with advanced colorectal cancer (CRC) treated with chemotherapy in the MRC CR08 (FOCUS) randomized trial. Journal of Clinical Oncology. 22(14_suppl). 9506–9506. 4 indexed citations
15.
Adlard, Julian. (2003). Cancer Knowledge of the General Public in the United Kingdom: Survey in a Primary Care Setting and Review of the Literature. Clinical Oncology. 15(4). 174–180. 45 indexed citations
16.
Adlard, Julian, et al.. (2002). Morbidity of tamoxifen–perceptions of patients and healthcare professionals. The Breast. 11(4). 335–339. 6 indexed citations
17.
Adlard, Julian, Susan D. Richman, Michel Seymour, & Philip Quirke. (2002). Prediction of the response of colorectal cancer to systemic therapy. The Lancet Oncology. 3(2). 75–82. 79 indexed citations
18.
Adlard, Julian, et al.. (2001). Open Access Follow-up for Lung Cancer: Patient and Staff Satisfaction. Clinical Oncology. 13(6). 404–408. 7 indexed citations
19.
Adlard, Julian & David Dodwell. (2001). Optimum anthracycline-based chemotherapy for early breast cancer. The Lancet Oncology. 2(8). 469–474. 12 indexed citations
20.
Adlard, Julian. (2000). Thalidomide in the treatment of cancer. Anti-Cancer Drugs. 11(10). 787–791. 32 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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