Michael Maddox

916 citations
33 papers · 691 · h-index 14

Impact in

Papers in

Michael Maddox

33 papers receiving 680 citations

Peers

Michael Maddox
Comparison fields: 5 of 79
  • Health Informatics 16
  • Surgery 233
  • Biomedical Engineering 251
  • Pulmonary and Respiratory Medicine 160
  • Urology 27
Replace Fernando Navarro with:
Fernando Navarro United States
Toru Matsugasumi Japan
Bo-Ji Liu China
Eduard Baco Norway
Ashok J. Theruvath United States
Floris J. Voskuil Netherlands
Matthias Aurich Germany
Marco Cavallaro Italy
Olivia Maria Bottinelli Italy
Aileen O’Shea United States
Michael Maddox relative to Fernando Navarro United States Fernando Navarro's profile →
Citations per field
00.5×7.4×
Fernando Navarro · 1×
Citations per year

Countries citing papers authored by Michael Maddox

Since Specialization
Citations

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

Fields of papers citing papers by Michael Maddox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Maddox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Maddox Line = papers co-authored together Michael Maddox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014155
2 201575
3 201774
4 201555
5 201647
6 201338
7 201538
8 200735
9 201424
10 201522
11 201520
12 201617
13 201417
14 201216
15 20088
16 20176
17 20156
18 20146
19 20125
20 20154

About Michael Maddox

Michael Maddox is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery, Molecular Biology and Urology, having authored 33 papers that have together received 691 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (8 papers), Renal cell carcinoma treatment (6 papers), Renal and Vascular Pathologies (5 papers), Anatomy and Medical Technology (5 papers), Surgical Simulation and Training (4 papers), Prostate Cancer Treatment and Research (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Health Informatics (16 citations), Surgery (233 citations), Biomedical Engineering (251 citations), Pulmonary and Respiratory Medicine (160 citations) and Urology (27 citations). Michael Maddox has collaborated with scholars based in United States and Italy. Frequent co-authors include Jonathan Silberstein, Raju Thomas, Allison H. Feibus, Benjamin R. Lee, Sree Harsha Mandava, James T. Liu, Julie Wang, Andrew Lange, Elisa M. Ledet and Benjamin R. Lee. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Urology, Clinical Genitourinary Cancer and Journal of Pharmaceutical Sciences.

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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