Jeremy Ford

1.7k total citations
11 papers, 246 citations indexed

About

Jeremy Ford is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Jeremy Ford has authored 11 papers receiving a total of 246 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 Spectroscopy. Recurrent topics in Jeremy Ford's work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Jeremy Ford is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Jeremy Ford collaborates with scholars based in United Kingdom, Germany and United States. Jeremy Ford's co-authors include Ian Jacobs, Aleksandra Gentry‐Maharaj, Usha Menon, Zhiyuan Luo, John F. Timms, Alex Gammerman, Vladimir N. Podust, Eric T. Fung, D. J. Betteridge and D. J. Galton and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Clinical Epidemiology and Clinical Chemistry.

In The Last Decade

Jeremy Ford

11 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy Ford United Kingdom 8 118 104 53 41 27 11 246
Jiyoung Yu South Korea 10 185 1.6× 74 0.7× 49 0.9× 26 0.6× 17 0.6× 25 332
Paul E. Oran United States 12 234 2.0× 166 1.6× 12 0.2× 32 0.8× 32 1.2× 12 381
Leslie R. Euceda Norway 11 239 2.0× 54 0.5× 113 2.1× 47 1.1× 10 0.4× 15 336
Steven D.P. Moore Canada 8 174 1.5× 13 0.1× 39 0.7× 49 1.2× 45 1.7× 11 380
Masahiko Nezu Japan 10 226 1.9× 48 0.5× 46 0.9× 63 1.5× 27 1.0× 19 342
Theodora Pavlidou Italy 6 276 2.3× 20 0.2× 31 0.6× 33 0.8× 22 0.8× 7 345
Lishan Min China 10 255 2.2× 32 0.3× 132 2.5× 41 1.0× 10 0.4× 16 331
Samantha Larkin United Kingdom 9 156 1.3× 42 0.4× 58 1.1× 43 1.0× 12 0.4× 12 250
Julia Benzel Germany 9 115 1.0× 32 0.3× 71 1.3× 92 2.2× 14 0.5× 18 263
Gabriele De Sio Italy 10 162 1.4× 175 1.7× 32 0.6× 26 0.6× 9 0.3× 11 322

Countries citing papers authored by Jeremy Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Ford. A scholar is included among the top collaborators of Jeremy Ford 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 Jeremy Ford. Jeremy Ford 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.
Gerstner, Elizabeth R., William T. Curry, Deborah Forst, et al.. (2025). Safety and tolerability of intraventricular CARv3-TEAM-E T cells following lymphodepleting chemotherapy in recurrent glioblastoma: INCIPIENT trial.. Journal of Clinical Oncology. 43(16_suppl). 2017–2017. 2 indexed citations
2.
Timms, John F., Usha Menon, Ali Tiss, et al.. (2012). Early detection of ovarian cancer in samples pre-diagnosis using CA125 and MALDI-MS peaks.. PubMed. 8(6). 289–305. 17 indexed citations
3.
Zaikin, Alexey, Matthew Burnell, Aleksandra Gentry‐Maharaj, et al.. (2011). Association of serum sex steroid receptor bioactivity and sex steroid hormones with breast cancer risk in postmenopausal women. Endocrine Related Cancer. 19(2). 137–147. 33 indexed citations
4.
Masciari, Serena, Drupadi Dillon, Mark E. Robson, et al.. (2011). Breast cancer phenotype in women with TP53 germ-line mutations: An LFS consortium effort.. Journal of Clinical Oncology. 29(15_suppl). 1519–1519. 2 indexed citations
5.
Gentry‐Maharaj, Aleksandra, Eva Wozniak, Anita WW Lim, et al.. (2010). Recruitment of newly diagnosed ovarian cancer patients proved challenging in a multicentre biobanking study. Journal of Clinical Epidemiology. 64(5). 525–530. 10 indexed citations
7.
Timms, John F., Rainer Cramer, Stéphane Camuzeaux, et al.. (2010). Peptides Generated Ex Vivo from Serum Proteins by Tumor-Specific Exopeptidases Are Not Useful Biomarkers in Ovarian Cancer. Clinical Chemistry. 56(2). 262–271. 29 indexed citations
8.
Telli, Melinda L., et al.. (2008). Asian race and breast cancer subtypes: A study from the California Cancer Registry. Journal of Clinical Oncology. 26(15_suppl). 6618–6618. 7 indexed citations
9.
Timms, John F., Aleksandra Gentry‐Maharaj, Zhiyuan Luo, et al.. (2007). Preanalytic Influence of Sample Handling on SELDI-TOF Serum Protein Profiles. Clinical Chemistry. 53(4). 645–656. 117 indexed citations
10.
Lawless, Grant & Jeremy Ford. (2000). Cumulative prevalence of anemia in early-stage breast cancer patients. 2. 39016. 1 indexed citations
11.
Betteridge, D. J., Wilhelm Krone, Jeremy Ford, & D. J. Galton. (1979). Regulation of sterol synthesis in leukaemic blast cells: a defect resembling familial hypercholesterolaemia. European Journal of Clinical Investigation. 9(6). 439–441. 17 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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