Vivien N. Jacobs

2.9k total citations
18 papers, 504 citations indexed

About

Vivien N. Jacobs is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vivien N. Jacobs has authored 18 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vivien N. Jacobs's work include Biochemical and Molecular Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Vivien N. Jacobs is often cited by papers focused on Biochemical and Molecular Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Vivien N. Jacobs collaborates with scholars based in United Kingdom, United States and Germany. Vivien N. Jacobs's co-authors include Patrick A. Plé, Geraint Jones, T. J. Franklin, Barry R. Davies, Armelle Logié, Paul Elvin, Walter H.J. Ward, Judith Hargreaves, Geoffrey A. Holdgate and Gerard Costello and has published in prestigious journals such as Oncogene, British Journal of Cancer and Biochemical Pharmacology.

In The Last Decade

Vivien N. Jacobs

17 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivien N. Jacobs United Kingdom 11 290 194 67 56 53 18 504
Sourik S. Ganguly United States 10 244 0.8× 142 0.7× 74 1.1× 33 0.6× 81 1.5× 15 403
J J Ryan United States 5 288 1.0× 227 1.2× 43 0.6× 38 0.7× 47 0.9× 5 433
Neetha Parameswaran United States 14 276 1.0× 225 1.2× 50 0.7× 64 1.1× 93 1.8× 23 562
Sabita Sankar United States 10 534 1.8× 152 0.8× 48 0.7× 37 0.7× 155 2.9× 15 668
Denis G. Bosc Canada 15 611 2.1× 169 0.9× 57 0.9× 22 0.4× 55 1.0× 16 745
Nina Sausgruber Switzerland 8 478 1.6× 144 0.7× 103 1.5× 23 0.4× 85 1.6× 9 707
Tushar B. Deb India 14 498 1.7× 198 1.0× 85 1.3× 35 0.6× 66 1.2× 29 716
S. G. Shering Ireland 8 175 0.6× 200 1.0× 34 0.5× 53 0.9× 140 2.6× 11 484
Archontoula Stoffel United States 12 548 1.9× 259 1.3× 80 1.2× 32 0.6× 166 3.1× 15 826
Kim M. Dulski United States 9 275 0.9× 306 1.6× 94 1.4× 80 1.4× 126 2.4× 9 582

Countries citing papers authored by Vivien N. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Vivien N. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivien N. Jacobs. 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 Vivien N. Jacobs. The network helps show where Vivien N. Jacobs may publish in the future.

Co-authorship network of co-authors of Vivien N. Jacobs

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

All Works

18 of 18 papers shown
1.
Floc’h, Nicolas, Susan Ashton, Paula Taylor, et al.. (2017). Optimizing Therapeutic Effect of Aurora B Inhibition in Acute Myeloid Leukemia with AZD2811 Nanoparticles. Molecular Cancer Therapeutics. 16(6). 1031–1040. 29 indexed citations
2.
Thress, Kenneth S., Vivien N. Jacobs, Helen K. Angell, et al.. (2017). Modulation of Biomarker Expression by Osimertinib: Results of the Paired Tumor Biopsy Cohorts of the AURA Phase I Trial. Journal of Thoracic Oncology. 12(10). 1588–1594. 17 indexed citations
3.
Yeh, Tammie C., Vivien N. Jacobs, Joseph Geradts, et al.. (2016). 60PD Inhibition of pEGFR in paired tumour biopsies from TKI treatment-naïve EGFR mutant NSCLC patients treated with gefitinib (EGFR inhibitor) or gefitinib in combination with durvalumab (anti-PD-L1). Journal of Thoracic Oncology. 11(4). S80–S81. 7 indexed citations
4.
Davies, Barry R., Armelle Logié, Claire Crafter, et al.. (2015). Tumors with AKT1E17K Mutations Are Rational Targets for Single Agent or Combination Therapy with AKT Inhibitors. Molecular Cancer Therapeutics. 14(11). 2441–2451. 54 indexed citations
5.
Thress, Kenneth S., Joseph Geradts, Martin Schüler, et al.. (2015). Design, execution, and preliminary biomarker results from paired tumor biopsy cohorts of the AZD9291 AURA trial. Journal of Thoracic Oncology. 1 indexed citations
6.
Eberlein, Catherine A., Jane Kendrew, Karen McDaid, et al.. (2012). A human monoclonal antibody 264RAD targeting αvβ6 integrin reduces tumour growth and metastasis, and modulates key biomarkers in vivo. Oncogene. 32(37). 4406–4416. 74 indexed citations
7.
Boult, Jessica K.R., Yann Jamin, Vivien N. Jacobs, et al.. (2012). False-negative MRI biomarkers of tumour response to targeted cancer therapeutics. British Journal of Cancer. 106(12). 1960–1966. 7 indexed citations
8.
Pichler, Bernd J., Olivier Duchamp, Olivier Raguin, et al.. (2011). An Evaluation of 2-deoxy-2-[18F]Fluoro-D-Glucose and 3′-deoxy-3′-[18F]-Fluorothymidine Uptake in Human Tumor Xenograft Models. Molecular Imaging and Biology. 14(3). 355–365. 7 indexed citations
9.
Green, Tim P., Jon Curwen, Vivien N. Jacobs, et al.. (2009). Preclinical anticancer activity of the potent, oral Src inhibitor AZD0530. Molecular Oncology. 3(3). 248–261. 176 indexed citations
10.
Renshaw, Lorna, Vivien N. Jacobs, Michael Fennell, et al.. (2008). Src inhibitors in early breast cancer: a methodology, feasibility and variability study. Breast Cancer Research and Treatment. 114(2). 211–221. 15 indexed citations
11.
Fennell, Michael, Vivien N. Jacobs, Francesco Pinto, et al.. (2007). The impact of delay in cryo-fixation on biomarkers of Src tyrosine kinase activity in human breast and bladder cancers. Cancer Chemotherapy and Pharmacology. 61(1). 23–32. 15 indexed citations
13.
Nagasaki, Keisuke, et al.. (1999). Identification of a three differentialy expressed genes in breast cancer. European Journal of Cancer. 35. S189–S189.
14.
Franklin, T. J., Vivien N. Jacobs, Geraint Jones, & Patrick A. Plé. (1997). Human colorectal carcinoma cells in vitro as a means to assess the metabolism of analogs of mycophenolic acid.. PubMed. 25(3). 367–70. 22 indexed citations
15.
Franklin, T. J., et al.. (1996). Glucuronidation associated with intrinsic resistance to mycophenolic acid in human colorectal carcinoma cells.. PubMed. 56(5). 984–7. 49 indexed citations
16.
Franklin, Trevor, et al.. (1995). Glucuronidation by human colorectal adenocarcinoma cells as a mechanism of resistance to mycophenolic acid. Advances in Enzyme Regulation. 35. 91–100. 13 indexed citations
17.
McMillan, R. M., et al.. (1989). Metabolism of unsaturated fatty acids by RBL-1 5-lipoxygenase: influence of substrate solubility and product inactivation. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1005(2). 170–176. 6 indexed citations
18.
Jacobs, Vivien N., et al.. (1988). Kinetics of 5-lipoxygenase: influence of substrate solubility and product inactivation. Biochemical Society Transactions. 16(1). 38–39. 2 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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