Julie L. Sutcliffe

3.1k total citations
65 papers, 2.4k citations indexed

About

Julie L. Sutcliffe is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Oncology. According to data from OpenAlex, Julie L. Sutcliffe has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Immunology and Allergy and 21 papers in Oncology. Recurrent topics in Julie L. Sutcliffe's work include Monoclonal and Polyclonal Antibodies Research (29 papers), Cell Adhesion Molecules Research (23 papers) and Radiopharmaceutical Chemistry and Applications (15 papers). Julie L. Sutcliffe is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (29 papers), Cell Adhesion Molecules Research (23 papers) and Radiopharmaceutical Chemistry and Applications (15 papers). Julie L. Sutcliffe collaborates with scholars based in United States, United Kingdom and Norway. Julie L. Sutcliffe's co-authors include Jan Mařı́k, Sven H. Hausner, John F. Marshall, Richard J. Bold, Marie-Hélène Gagnon, Kit S. Lam, Ruiwu Liu, Chong-xian Pan, Olulanu H. Aina and Ryan A. Davis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Julie L. Sutcliffe

65 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie L. Sutcliffe United States 28 1.1k 914 672 491 367 65 2.4k
Ryan J. Park United States 29 1.3k 1.3× 1.2k 1.3× 744 1.1× 665 1.4× 235 0.6× 59 3.0k
Jan Mařı́k United States 30 1.3k 1.3× 1.2k 1.3× 671 1.0× 338 0.7× 459 1.3× 71 2.7k
Didier Boturyn France 31 732 0.7× 1.8k 1.9× 463 0.7× 544 1.1× 684 1.9× 111 3.0k
Ingrid Dijkgraaf Netherlands 24 1.0k 1.0× 818 0.9× 738 1.1× 625 1.3× 230 0.6× 57 2.2k
Jiyun Shi China 32 1.3k 1.2× 733 0.8× 880 1.3× 646 1.3× 134 0.4× 95 2.9k
Reingard Senekowitsch–Schmidtke Germany 31 2.3k 2.1× 1.2k 1.3× 826 1.2× 524 1.1× 134 0.4× 84 3.9k
Zhengming Xiong United States 16 574 0.5× 536 0.6× 379 0.6× 349 0.7× 115 0.3× 20 1.4k
Pamela A. Trail United States 29 1.2k 1.1× 1.7k 1.9× 1.5k 2.2× 135 0.3× 265 0.7× 61 3.7k
Zheng Miao United States 25 806 0.8× 723 0.8× 395 0.6× 152 0.3× 169 0.5× 55 1.7k
Svetlana O. Doronina United States 15 2.2k 2.1× 1.4k 1.5× 2.4k 3.6× 193 0.4× 413 1.1× 27 3.8k

Countries citing papers authored by Julie L. Sutcliffe

Since Specialization
Citations

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

Fields of papers citing papers by Julie L. Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie L. Sutcliffe. 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 Julie L. Sutcliffe. The network helps show where Julie L. Sutcliffe may publish in the future.

Co-authorship network of co-authors of Julie L. Sutcliffe

This figure shows the co-authorship network connecting the top 25 collaborators of Julie L. Sutcliffe. A scholar is included among the top collaborators of Julie L. Sutcliffe 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 Julie L. Sutcliffe. Julie L. Sutcliffe 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.
Davis, Ryan A., et al.. (2023). Synthesis and Evaluation of a Monomethyl Auristatin E─Integrin αvβ6 Binding Peptide–Drug Conjugate for Tumor Targeted Drug Delivery. Journal of Medicinal Chemistry. 66(14). 9842–9852. 18 indexed citations
2.
Davis, Ryan A., Sven H. Hausner, Rebecca Harris, & Julie L. Sutcliffe. (2022). A Comparison of Evans Blue and 4-(p-Iodophenyl)butyryl Albumin Binding Moieties on an Integrin αvβ6 Binding Peptide. Pharmaceutics. 14(4). 745–745. 9 indexed citations
3.
Ganguly, Tanushree, et al.. (2022). Preclinical Evaluation of68Ga- and177Lu-Labeled Integrin αvβ6-Targeting Radiotheranostic Peptides. Journal of Nuclear Medicine. 64(4). 639–644. 17 indexed citations
4.
Ganguly, Tanushree, et al.. (2021). Evaluation of Copper-64-Labeled αvβ6-Targeting Peptides: Addition of an Albumin Binding Moiety to Improve Pharmacokinetics. Molecular Pharmaceutics. 18(12). 4437–4447. 13 indexed citations
5.
Davis, Ryan A., et al.. (2019). Fully automated peptide radiolabeling from [18F]fluoride. RSC Advances. 9(15). 8638–8649. 10 indexed citations
6.
7.
Hausner, Sven H., Richard J. Bold, Helen K. Chew, et al.. (2018). Preclinical Development and First-in-Human Imaging of the Integrin αvβ6 with [18F]αvβ6-Binding Peptide in Metastatic Carcinoma. Clinical Cancer Research. 25(4). 1206–1215. 81 indexed citations
8.
Aboud, Omran Abu, Samy L. Habib, Josephine F. Trott, et al.. (2017). Glutamine Addiction in Kidney Cancer Suppresses Oxidative Stress and Can Be Exploited for Real-Time Imaging. Cancer Research. 77(23). 6746–6758. 80 indexed citations
9.
Davis, Ryan A., et al.. (2017). In Vivo Tracking of Copper-64 Radiolabeled Nanoparticles in Lactuca sativa. Environmental Science & Technology. 51(21). 12537–12546. 22 indexed citations
10.
11.
Olberg, Dag Erlend, Kjetil Wessel Andressen, Trine Hjørnevik, et al.. (2016). Brain penetrant small molecule 18F-GnRH receptor (GnRH-R) antagonists: Synthesis and preliminary positron emission tomography imaging in rats. Nuclear Medicine and Biology. 43(8). 478–489. 6 indexed citations
12.
Davis, Ryan A., Kevin Lau, Sven H. Hausner, & Julie L. Sutcliffe. (2016). Solid-phase synthesis and fluorine-18 radiolabeling of cycloRGDyK. Organic & Biomolecular Chemistry. 14(37). 8659–8663. 8 indexed citations
13.
Sutcliffe, Julie L., et al.. (2016). Rapid identification and development of αvβ6 -targeting peptides as PET imaging agents using fluorescent cell-based on-bead screening. 57. 280–280. 1 indexed citations
14.
Griessinger, Christoph M., Rainer Kehlbach, Stefan Wiehr, et al.. (2014). In Vivo Tracking of Th1 Cells by PET Reveals Quantitative and Temporal Distribution and Specific Homing in Lymphatic Tissue. Journal of Nuclear Medicine. 55(2). 301–307. 51 indexed citations
15.
Hausner, Sven H., et al.. (2012). Optimization of the solid-phase synthesis of [18F] radiolabeled peptides for positron emission tomography. Applied Radiation and Isotopes. 70(12). 2720–2729. 7 indexed citations
16.
Shin, Dong‐Sik, Jeong Hyun Seo, Julie L. Sutcliffe, & Alexander Revzin. (2011). Photolabile micropatterned surfaces for cell capture and release. Chemical Communications. 47(43). 11942–11942. 35 indexed citations
17.
Carpenter, Richard D., Sven H. Hausner, & Julie L. Sutcliffe. (2011). Copper-Free Click for PET: Rapid 1,3-Dipolar Cycloadditions with a Fluorine-18 Cyclooctyne. ACS Medicinal Chemistry Letters. 2(12). 885–889. 40 indexed citations
18.
Hausner, Sven H., Craig K. Abbey, Richard J. Bold, et al.. (2009). Targeted In vivo Imaging of Integrin αvβ6 with an Improved Radiotracer and Its Relevance in a Pancreatic Tumor Model. Cancer Research. 69(14). 5843–5850. 92 indexed citations
19.
20.
Sutcliffe, Julie L., M. J. OʼDoherty, & Sukhvinder S. Bansal. (1999). The synthesis of [18F]labelled peptides using a solid phase methodology. Journal of Labelled Compounds and Radiopharmaceuticals. 42. 1 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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