Jonathan Terrett

7.5k total citations
30 papers, 1.5k citations indexed

About

Jonathan Terrett is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonathan Terrett has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonathan Terrett's work include Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (6 papers) and CRISPR and Genetic Engineering (5 papers). Jonathan Terrett is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (6 papers) and CRISPR and Genetic Engineering (5 papers). Jonathan Terrett collaborates with scholars based in United Kingdom, United States and Austria. Jonathan Terrett's co-authors include Slave Trajanoski, Peter Amersdorfer, David King, Sebastian Mannweiler, Gábor Méhes, Richard H. Thomas, Gordon P. Moore, K. B. Tan, Alemseged Truneh and Manjula Reddy and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Blood.

In The Last Decade

Jonathan Terrett

29 papers receiving 1.4k 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 Terrett United Kingdom 14 835 284 280 257 223 30 1.5k
Yves Courty France 24 549 0.7× 247 0.9× 288 1.0× 71 0.3× 85 0.4× 66 1.4k
E G Fey United States 17 1.6k 1.9× 142 0.5× 224 0.8× 81 0.3× 254 1.1× 24 2.1k
Sándor Spisák Hungary 29 1.3k 1.5× 572 2.0× 585 2.1× 67 0.3× 377 1.7× 71 2.4k
Geoffrey Childs United States 33 2.5k 3.0× 180 0.6× 313 1.1× 48 0.2× 613 2.7× 76 3.4k
Thomas J. Vasicek United States 14 1.9k 2.2× 75 0.3× 216 0.8× 129 0.5× 381 1.7× 17 2.3k
Ingrid Blikstad Sweden 14 605 0.7× 191 0.7× 150 0.5× 115 0.4× 71 0.3× 16 1.3k
Mark Leonard United States 18 1.4k 1.7× 80 0.3× 123 0.4× 96 0.4× 398 1.8× 27 1.8k
I Sures Germany 21 1.7k 2.1× 123 0.4× 387 1.4× 108 0.4× 215 1.0× 26 2.6k
Hiroaki Nitta United States 25 633 0.8× 343 1.2× 749 2.7× 302 1.2× 619 2.8× 51 2.1k
Dan H. Schulze United States 31 1.6k 1.9× 88 0.3× 324 1.2× 391 1.5× 203 0.9× 63 2.7k

Countries citing papers authored by Jonathan Terrett

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Terrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Terrett

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Terrett. A scholar is included among the top collaborators of Jonathan Terrett 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 Terrett. Jonathan Terrett 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.
Sagert, Jason, et al.. (2019). Abstract 1428: Allogeneic CRISPR/Cas9 gene-edited CAR-T cells targeting CD33 show potent preclinical activity against AML cells. Cancer Research. 79(13_Supplement). 1428–1428. 5 indexed citations
2.
Sagert, Jason, Thao Nguyen, Matthias John, et al.. (2018). Abstract 2551: Allogeneic CRISPR engineered anti CD70 CAR T cells demonstrate potent preclinical activity against both solid and hematological cancer cells. Cancer Research. 78(13_Supplement). 2551–2551. 1 indexed citations
3.
Kast, Juergen, Robert S. Boyd, Amanda L. Anderson, et al.. (2012). Abstract 3869: Proteomics highlights which G-protein coupled receptors are candidates for ADC development. Cancer Research. 72(8_Supplement). 3869–3869. 1 indexed citations
4.
Pan, Chin, Jonathan Terrett, Chetana Rao, et al.. (2008). Human antibody conjugates of potential utility for prostate cancer therapy: A comparison of MGBA conjugates with antibodies targeting a cell surface target (prostate-specific membrane antigen) and an extracellular matrix target (Mindin/RG-1). Cancer Research. 68. 4062–4062. 1 indexed citations
5.
Mannweiler, Sebastian, Peter Amersdorfer, Slave Trajanoski, et al.. (2008). Heterogeneity of Prostate-Specific Membrane Antigen (PSMA) Expression in Prostate Carcinoma with Distant Metastasis. Pathology & Oncology Research. 15(2). 167–172. 297 indexed citations
6.
McGowan, Simon J., Jonathan Terrett, Clive Brown, et al.. (2004). Annotation of the Human Genome by High-Throughput Sequence Analysis of Naturally Occurring Proteins. Current Proteomics. 1(1). 41–48. 9 indexed citations
7.
Adam, Paul J., Robert S. Boyd, Kerry Tyson, et al.. (2003). Comprehensive Proteomic Analysis of Breast Cancer Cell Membranes Reveals Unique Proteins with Potential Roles in Clinical Cancer. Journal of Biological Chemistry. 278(8). 6482–6489. 177 indexed citations
8.
Soloviev, Mikhail, Richard Barry, Elaine Scrivener, & Jonathan Terrett. (2003). Combinatorial peptidomics: a generic approach for protein expression profiling. Journal of Nanobiotechnology. 1(1). 4–4. 8 indexed citations
9.
Barry, Richard, et al.. (2003). Competitive Assay Formats for High-Throughput Affinity Arrays. SLAS DISCOVERY. 8(3). 257–263. 21 indexed citations
10.
Stamps, Alasdair C., Jonathan Terrett, & Paul J. Adam. (2003). Application of in situ reverse trancriptase-polymerase chain reaction (RT-PCR) to tissue microarrays. Journal of Nanobiotechnology. 1(1). 3–3. 4 indexed citations
11.
Scrivener, Elaine, et al.. (2003). Peptidomics: A new approach to affinity protein microarrays. PROTEOMICS. 3(2). 122–128. 40 indexed citations
12.
Spurr, Nigel K., et al.. (1999). New technologies and DNA resources for high throughtput biology. British Medical Bulletin. 55(2). 309–324. 4 indexed citations
13.
14.
Evans, Joanne, Hugh J. Herdon, William Cairns, et al.. (1999). Cloning, functional characterisation and population analysis of a variant form of the human glycine type 2 transporter. FEBS Letters. 463(3). 301–306. 9 indexed citations
15.
Wang, Bo, et al.. (1998). Alternative Splicing of HumanNrCAMin Neural and Nonneural Tissues. Molecular and Cellular Neuroscience. 10(5-6). 287–295. 32 indexed citations
16.
17.
McCarthy, Linda, Jonathan Terrett, Angela Smith, et al.. (1997). A First-Generation Whole Genome–Radiation Hybrid Map Spanning the Mouse Genome. Genome Research. 7(12). 1153–1161. 157 indexed citations
18.
Terrett, Jonathan, et al.. (1996). Complete DNA sequence of the mitochondrial genome ofCepaea nemoralis (Gastropoda: Pulmonata). Journal of Molecular Evolution. 42(2). 160–168. 79 indexed citations
19.
Terrett, Jonathan, Ruth Newbury‐Ecob, Nigel Smith, et al.. (1996). A translocation at 12q2 refines the interval containing the Holt-Oram syndrome 1 gene.. PubMed. 59(6). 1337–41. 4 indexed citations
20.
Terrett, Jonathan, Ruth Newbury‐Ecob, Gareth Cross, et al.. (1994). Holt–Oram syndrome is a genetically heterogeneous disease with one locus mapping to human chromosome 12q. Nature Genetics. 6(4). 401–404. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yves Courty Breakdown of academic impact, for papers by E G Fey Breakdown of academic impact, for papers by Sándor Spisák Breakdown of academic impact, for papers by Geoffrey Childs Breakdown of academic impact, for papers by Thomas J. Vasicek Breakdown of academic impact, for papers by Ingrid Blikstad Breakdown of academic impact, for papers by Mark Leonard Breakdown of academic impact, for papers by I Sures Breakdown of academic impact, for papers by Hiroaki Nitta Breakdown of academic impact, for papers by Dan H. Schulze
Rankless by CCL
2026