David P. Noonan

30 total papers · 897 total citations
24 papers, 700 citations indexed

About

David P. Noonan is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David P. Noonan has authored 24 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David P. Noonan's work include Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers) and Minimally Invasive Surgical Techniques (10 papers). David P. Noonan is often cited by papers focused on Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers) and Minimally Invasive Surgical Techniques (10 papers). David P. Noonan collaborates with scholars based in United Kingdom, Jordan and United States. David P. Noonan's co-authors include Guang‐Zhong Yang, Ara Darzi, Christopher J. Payne, Jianzhong Shang, Jane Clark, Kaspar Althoefer, Lakmal Seneviratne, Hongbin Liu, Mikael H. Sodergren and George Mylonas and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Surgical Endoscopy and Lecture notes in computer science.

In The Last Decade

David P. Noonan

23 papers receiving 686 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David P. Noonan 500 332 174 84 77 24 700
Florent Nageotte 467 0.9× 283 0.9× 180 1.0× 122 1.5× 74 1.0× 43 671
Philippe Zanne 524 1.0× 309 0.9× 168 1.0× 147 1.8× 101 1.3× 35 717
Jianzhong Shang 509 1.0× 262 0.8× 126 0.7× 169 2.0× 155 2.0× 30 695
W.S. Ng 388 0.8× 296 0.9× 142 0.8× 60 0.7× 75 1.0× 38 862
Carlo Seneci 516 1.0× 213 0.6× 84 0.5× 114 1.4× 86 1.1× 29 657
Momen Abayazid 742 1.5× 256 0.8× 139 0.8× 197 2.3× 231 3.0× 51 893
Daniel Glozman 598 1.2× 284 0.9× 149 0.9× 269 3.2× 191 2.5× 13 768
Ankur Kapoor 620 1.2× 236 0.7× 97 0.6× 205 2.4× 152 2.0× 33 855
Weijian Shang 494 1.0× 276 0.8× 56 0.3× 68 0.8× 70 0.9× 22 630
Long Wang 545 1.1× 149 0.4× 90 0.5× 274 3.3× 147 1.9× 63 752

Countries citing papers authored by David P. Noonan

Since Specialization
Citations

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

Fields of papers citing papers by David P. Noonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Noonan. 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 David P. Noonan. The network helps show where David P. Noonan may publish in the future.

Co-authorship network of co-authors of David P. Noonan

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

All Works

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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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