Conor Donnelly

453 total citations
11 papers, 131 citations indexed

About

Conor Donnelly is a scholar working on Pharmaceutical Science, Surgery and Oncology. According to data from OpenAlex, Conor Donnelly has authored 11 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmaceutical Science, 2 papers in Surgery and 2 papers in Oncology. Recurrent topics in Conor Donnelly's work include Drug Solubulity and Delivery Systems (3 papers), Crystallization and Solubility Studies (2 papers) and Analytical Chemistry and Chromatography (2 papers). Conor Donnelly is often cited by papers focused on Drug Solubulity and Delivery Systems (3 papers), Crystallization and Solubility Studies (2 papers) and Analytical Chemistry and Chromatography (2 papers). Conor Donnelly collaborates with scholars based in United Kingdom, United States and Japan. Conor Donnelly's co-authors include Gavin P. Andrews, David S. Jones, Yiwei Tian, Catherine B. Potter, Gavin Walker, Colin P. McCoy, Peter Hornsby, Shu Li, Lisa McFetridge and A.H. Marshall and has published in prestigious journals such as Journal of Clinical Oncology, Pharmaceutical Research and Gynecologic Oncology.

In The Last Decade

Conor Donnelly

9 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conor Donnelly United Kingdom 5 75 46 32 24 20 11 131
Johannes Kraemer Germany 8 140 1.9× 39 0.8× 12 0.4× 25 1.0× 21 1.1× 15 219
Jonathan Hau France 6 96 1.3× 57 1.2× 38 1.2× 24 1.0× 11 0.6× 9 142
Patrick Frohberg Germany 7 18 0.2× 80 1.7× 15 0.5× 9 0.4× 34 1.7× 11 153
Maria Edvige Sangalli Italy 10 305 4.1× 31 0.7× 19 0.6× 46 1.9× 40 2.0× 12 407
Per Borgquist Sweden 7 260 3.5× 56 1.2× 31 1.0× 46 1.9× 77 3.9× 7 354
Wantanee Phuapradit United States 10 262 3.5× 76 1.7× 32 1.0× 68 2.8× 44 2.2× 14 353
Suhas Shelukar United States 5 218 2.9× 70 1.5× 19 0.6× 41 1.7× 38 1.9× 7 381
Chun Ping Li China 6 13 0.2× 37 0.8× 34 1.1× 10 0.4× 89 4.5× 21 161
Jay Lakshman United States 5 281 3.7× 117 2.5× 34 1.1× 96 4.0× 16 0.8× 6 336
Betül Dortunç Türkiye 5 221 2.9× 18 0.4× 19 0.6× 12 0.5× 16 0.8× 11 327

Countries citing papers authored by Conor Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Conor Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conor Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Conor Donnelly. A scholar is included among the top collaborators of Conor Donnelly 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 Conor Donnelly. Conor Donnelly 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.
Donnelly, Conor, Ian Jaffe, Jennifer D. Motter, et al.. (2025). Second Time Around: Increased Rate of Living Donation From Repeat Organ Donors. Clinical Transplantation. 39(1). e70049–e70049.
2.
Dasari, B., Pål‐Dag Line, Gonzalo Sapisochín, et al.. (2025). Liver transplantation as a treatment for cancer: comprehensive review. BJS Open. 9(3). 1 indexed citations
3.
Westin, Shannon N., Kathleen N. Moore, Michael S. Guy, et al.. (2025). Durvalumab plus carboplatin/paclitaxel followed by durvalumab with or without olaparib as first-line treatment for endometrial cancer: Longitudinal changes in circulating tumor DNA.. Journal of Clinical Oncology. 43(16_suppl). 5512–5512.
4.
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6.
Kim, John, et al.. (2023). The impact of tranexamic acid on perioperative outcomes in urological surgeries: A systematic review and meta-analysis. Canadian Urological Association Journal. 17(6). 205–216. 7 indexed citations
7.
Tian, Yiwei, et al.. (2017). A New Method of Constructing a Drug–Polymer Temperature–Composition Phase Diagram Using Hot-Melt Extrusion. Molecular Pharmaceutics. 15(4). 1379–1391. 19 indexed citations
8.
Donnelly, Conor, Lisa McFetridge, A.H. Marshall, & Hannah Mitchell. (2017). A two-stage approach to the joint analysis of longitudinal and survival data utilising the Coxian phase-type distribution. Statistical Methods in Medical Research. 27(12). 3577–3594. 6 indexed citations
9.
Potter, Catherine B., Yiwei Tian, Gavin Walker, et al.. (2015). Novel Supercritical Carbon Dioxide Impregnation Technique for the Production of Amorphous Solid Drug Dispersions: A Comparison to Hot Melt Extrusion. Molecular Pharmaceutics. 12(5). 1377–1390. 43 indexed citations
10.
Donnelly, Conor, Yiwei Tian, Catherine B. Potter, David S. Jones, & Gavin P. Andrews. (2014). Probing the Effects of Experimental Conditions on the Character of Drug-Polymer Phase Diagrams Constructed Using Flory-Huggins Theory. Pharmaceutical Research. 32(1). 167–179. 51 indexed citations
11.
Donnelly, Conor, et al.. (2012). Strain Based Modeling of Thermal Fatigue at Mix Points. 1–9. 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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