Andrew Meads

797 total citations
33 papers, 532 citations indexed

About

Andrew Meads is a scholar working on Information Systems, Surgery and Computer Networks and Communications. According to data from OpenAlex, Andrew Meads has authored 33 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Surgery and 7 papers in Computer Networks and Communications. Recurrent topics in Andrew Meads's work include Bladder and Urothelial Cancer Treatments (8 papers), Urinary and Genital Oncology Studies (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Andrew Meads is often cited by papers focused on Bladder and Urothelial Cancer Treatments (8 papers), Urinary and Genital Oncology Studies (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Andrew Meads collaborates with scholars based in New Zealand, United States and Bulgaria. Andrew Meads's co-authors include Ian Warren, Nicholas Gant, Ralph Maddison, Jonathan C Rawstorn, Robyn Whittaker, Jocelyne Benatar, Yannan Jiang, Ralph Stewart, Anna Rolleston and Lan Gao and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Andrew Meads

31 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Meads New Zealand 11 221 111 97 88 78 33 532
Dario Salvi United Kingdom 17 249 1.1× 37 0.3× 20 0.2× 86 1.0× 189 2.4× 55 864
Kevin Casey United States 19 128 0.6× 19 0.2× 65 0.7× 120 1.4× 74 0.9× 74 951
Ove Wigertz Sweden 15 137 0.6× 27 0.2× 59 0.6× 126 1.4× 92 1.2× 88 969
Genevieve Coorey Australia 14 264 1.2× 28 0.3× 36 0.4× 190 2.2× 548 7.0× 19 1.1k
Carlos H. Salvador Spain 13 200 0.9× 17 0.2× 25 0.3× 93 1.1× 175 2.2× 35 670
Katie Baca-Motes United States 9 363 1.6× 10 0.1× 42 0.4× 77 0.9× 104 1.3× 20 882
Peyman Rezaei‐Hachesu Iran 12 38 0.2× 31 0.3× 50 0.5× 81 0.9× 80 1.0× 55 740
J. L. Monteagudo Spain 13 196 0.9× 16 0.1× 22 0.2× 94 1.1× 175 2.2× 21 716
Lauren Ariniello United States 8 367 1.7× 9 0.1× 29 0.3× 75 0.9× 111 1.4× 15 780

Countries citing papers authored by Andrew Meads

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Meads

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Meads

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Meads. A scholar is included among the top collaborators of Andrew Meads 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 Andrew Meads. Andrew Meads 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.
Morris, David, et al.. (2025). HOME INSTILLATION OF UGN-102 FOR PRIMARY CHEMOABLATION OF RECURRENT LOW-GRADE INTERMEDIATE-RISK NON-MUSCLE-INVASIVE BLADDER CANCER: A SINGLE-ARM, OPEN-LABEL, PHASE 3B TRIAL. Urologic Oncology Seminars and Original Investigations. 43(3). 50–50. 1 indexed citations
3.
Prasad, Sandip M., William C. Huang, Neal D. Shore, et al.. (2024). PD30-09 RESPONSE TO PRIMARY CHEMOABLATION WITH UGN-102 IN PATIENTS WITH NEW OR RECURRENT LG IR NMIBC: POST-HOC ANALYSIS OF THE ATLAS TRIAL. The Journal of Urology. 211(5S). 1 indexed citations
4.
Luxton-Reilly, Andrew, Ewan Tempero, Paul Denny, et al.. (2024). Educator Experiences of Low Overhead Student Project Risk Management. 58–67. 1 indexed citations
5.
Prasad, Sandip M., Max Kates, William C. Huang, et al.. (2024). Primary Chemoablation of Recurrent Low-Grade Intermediate-Risk Nonmuscle-Invasive Bladder Cancer With UGN-102: A Single-Arm, Open-Label, Phase 3 Trial (ENVISION). The Journal of Urology. 213(2). 205–216. 10 indexed citations
6.
Pierorazio, Phillip M., Nir Kleinmann, Ahmad Shabsigh, et al.. (2024). Long-Term Outcomes of Primary Chemoablation of Low-Grade Upper Tract Urothelial Carcinoma With UGN-101, a Mitomycin Reverse Thermal Gel. The Journal of Urology. 213(3). 313–322. 1 indexed citations
7.
Asghar, Muhammad Rizwan, et al.. (2022). Sharing medical data using a blockchain‐based secure EHR system for New Zealand. SHILAP Revista de lepidopterología. 2(1). 13–28. 12 indexed citations
8.
Terragni, Valerio, Ewan Tempero, Andrew Meads, et al.. (2022). GitHub in the Classroom: Lessons Learnt. ResearchSpace (University of Auckland). 163–172. 4 indexed citations
9.
LoVecchio, Frank, Jennifer Schranz, Elizabeth Alexander, et al.. (2021). Oral 5-Day Lefamulin for Outpatient Management of Community-Acquired Bacterial Pneumonia: Post-hoc Analysis of the Lefamulin Evaluation Against Pneumonia (LEAP) 2 Trial. Journal of Emergency Medicine. 60(6). 781–792. 3 indexed citations
10.
Warren, Ian, Andrew Meads, Robyn Whittaker, Rosie Dobson, & Shanthi Ameratunga. (2018). Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver). JMIR Formative Research. 2(2). e25–e25. 7 indexed citations
11.
Rawstorn, Jonathan C, Nicholas Gant, Andrew Meads, Ian Warren, & Ralph Maddison. (2016). Remotely Delivered Exercise-Based Cardiac Rehabilitation: Design and Content Development of a Novel mHealth Platform. JMIR mhealth and uhealth. 4(2). e57–e57. 40 indexed citations
12.
Rawstorn, Jonathan C, Nicholas Gant, Ian Warren, et al.. (2015). Breaking cardiac rehabilitation barriers: Development and on-going evaluation of remotely delivered exercise-based cardiac rehabilitation. Heart Lung and Circulation. 24. S111–S111. 1 indexed citations
13.
Montalto, Michael, et al.. (2013). Skin surface temperature: a possible new outcome measure for skin and soft tissue infection.. PubMed. 42(9). 653–7. 17 indexed citations
14.
Meads, Andrew & Ian Warren. (2011). OdinTools--Model-Driven Development of Intelligent Mobile Services. ResearchSpace (University of Auckland). 234. 448–455. 4 indexed citations
15.
Meads, Andrew & Ian Warren. (2010). Extending mobile service middleware with support for context-aware service processing. 10. 2418–2423. 2 indexed citations
16.
Peng, Jimmy Chih‐Hsien, Andrew Meads, & Nirmal‐Kumar C. Nair. (2010). Parallel computing for smart power oscillation monitoring using synchrophasor measurements. c4. 657–662. 3 indexed citations
17.
Meads, Andrew. (2009). A Holistic Approach to Mobile Service Provisioning. 2497. 698–702. 4 indexed citations
18.
Meads, Andrew, et al.. (2009). Mobile Service Provisioning Middleware for Multihomed Devices. 3. 67–72. 25 indexed citations
19.
Day, Andrew S., Spencer W. Beasley, Andrew Meads, & G D Abbott. (2001). Morbidity associated with gastrostomy placement in children demands an ongoing integrated approach to care.. PubMed. 114(1129). 164–7. 9 indexed citations
20.
Culyer, Anthony J. & Andrew Meads. (1992). The United Kingdom: Effective, Efficient, Equitable?. Journal of Health Politics Policy and Law. 17(4). 667–688. 8 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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