Daniel Sutton

446 total citations
9 papers, 144 citations indexed

About

Daniel Sutton is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy. According to data from OpenAlex, Daniel Sutton has authored 9 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Spectroscopy. Recurrent topics in Daniel Sutton's work include Mass Spectrometry Techniques and Applications (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Cell Image Analysis Techniques (2 papers). Daniel Sutton is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Cell Image Analysis Techniques (2 papers). Daniel Sutton collaborates with scholars based in United Kingdom, Singapore and United States. Daniel Sutton's co-authors include Alan Race, Nicole Strittmatter, Simon T. Barry, Richard J. A. Goodwin, Kelly-Ann Sheppard, Gino Van Heeke, Gábor Járai, Liqun Dong, Gerald Dubois and Loredana Ciuclan and has published in prestigious journals such as Analytical Chemistry, Cancer Research and Journal of Controlled Release.

In The Last Decade

Daniel Sutton

9 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sutton United Kingdom 6 85 36 26 25 18 9 144
Niveda Sundararaman United States 6 79 0.9× 8 0.2× 27 1.0× 27 1.1× 7 0.4× 19 137
Daniel Borràs Netherlands 8 101 1.2× 16 0.4× 43 1.7× 23 0.9× 29 1.6× 11 220
G. Ernst Germany 8 139 1.6× 13 0.4× 54 2.1× 48 1.9× 5 0.3× 11 244
Kevin Yang United States 7 114 1.3× 8 0.2× 52 2.0× 21 0.8× 11 0.6× 10 200
Maria Lycke Sweden 8 90 1.1× 39 1.1× 45 1.7× 29 1.2× 10 0.6× 12 276
Baochen Chong China 3 109 1.3× 11 0.3× 11 0.4× 25 1.0× 11 0.6× 4 183
Nora Balint‐Lahat Israel 8 114 1.3× 53 1.5× 36 1.4× 67 2.7× 34 1.9× 16 240
Rebecca T. Beuschel United States 3 108 1.3× 20 0.6× 10 0.4× 24 1.0× 6 0.3× 3 204
Yvonne Gathright Chile 2 127 1.5× 73 2.0× 9 0.3× 35 1.4× 21 1.2× 2 194
Joerg Kriegsmann Germany 8 107 1.3× 17 0.5× 50 1.9× 13 0.5× 5 0.3× 17 210

Countries citing papers authored by Daniel Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sutton

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

All Works

9 of 9 papers shown
1.
Sonzini, Silvia, R. England, Alexander Kapustin, et al.. (2025). HER2-targeted star polymer conjugates for improved tumor distribution and efficacy. Journal of Controlled Release. 382. 113654–113654. 4 indexed citations
2.
McGrath, Lara, Ying Zheng, Sihem Khelifa, et al.. (2023). Abstract 5737: Evaluation of the relationship between target expression and in vivo anti-tumor efficacy of AZD9592, an EGFR/c-MET targeted bispecific antibody drug conjugate. Cancer Research. 83(7_Supplement). 5737–5737. 9 indexed citations
3.
Chandran, Jayanth, Ekram Ahmed Chowdhury, Michael S. Perkinton, et al.. (2022). Assessment of AAV9 distribution and transduction in rats after administration through Intrastriatal, Intracisterna magna and Lumbar Intrathecal routes. Gene Therapy. 30(1-2). 132–141. 9 indexed citations
4.
Strittmatter, Nicole, Alan Race, Daniel Sutton, et al.. (2022). Multi-modal molecular imaging maps the correlation between tumor microenvironments and nanomedicine distribution. Theranostics. 12(5). 2162–2174. 15 indexed citations
5.
Strittmatter, Nicole, R. England, Alan Race, et al.. (2021). Method to Investigate the Distribution of Water-Soluble Drug-Delivery Systems in Fresh Frozen Tissues Using Imaging Mass Cytometry. Analytical Chemistry. 93(8). 3742–3749. 6 indexed citations
6.
Race, Alan, Daniel Sutton, Grégory Hamm, et al.. (2021). Deep Learning-Based Annotation Transfer between Molecular Imaging Modalities: An Automated Workflow for Multimodal Data Integration. Analytical Chemistry. 93(6). 3061–3071. 40 indexed citations
7.
Gill, Sonja J., Ruth S. MacDonald, Carmen Pin, et al.. (2021). Abstract 1374: The novel PARP1-selective inhibitor AZD5305 has reduced hematological toxicity when compared to PARP1/2 inhibitors in pre-clinical models. Cancer Research. 81(13_Supplement). 1374–1374. 2 indexed citations
8.
Lawson, Mandy, Michelle DuPont, Oona Delpuech, et al.. (2020). Abstract 4379: Not all selective estrogen receptor degraders are equal - Preclinical comparison of AZD9833, AZD9496 and fulvestrant. Cancer Research. 80(16_Supplement). 4379–4379. 3 indexed citations
9.
Ciuclan, Loredana, Kelly-Ann Sheppard, Liqun Dong, et al.. (2013). Treatment with Anti–Gremlin 1 Antibody Ameliorates Chronic Hypoxia/SU5416–Induced Pulmonary Arterial Hypertension in Mice. American Journal Of Pathology. 183(5). 1461–1473. 56 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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