Matthew Riggs
Impact in
- Emergency Medicine top 10%
- Cardiac Arrest and Resuscitation
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
- Oncology 5
- Bone health and treatments 2
- HER2/EGFR in Cancer Research 2
-
- Statistical Methods in Clinical Trials 3
- Co-authors
- Richard C. Franklin (3 shared papers)Carlos A. Garberoglio (1 shared paper)Héctor Betancourt (1 shared paper)Patricia M. Flynn (1 shared paper)Valerie Nock (2 shared papers)Rolf Burghaus (1 shared paper)Mats O. Karlsson (1 shared paper)Andrea N. Edginton (1 shared paper)
- Journals
- Neuroradiology (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Diabetes Therapy (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)Health Education Research (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Matthew Riggs
14 papers receiving 360 citations
Peers
Comparison fields: 5 of 103
- Emergency Medicine 57
- Pharmacology 46
- Statistics and Probability 29
- Oncology 62
- Genetics 19
Countries citing papers authored by Matthew Riggs
This map shows the geographic impact of Matthew Riggs'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 Matthew Riggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Riggs more than expected).
Fields of papers citing papers by Matthew Riggs
This network shows the impact of papers produced by Matthew Riggs. 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 Matthew Riggs. The network helps show where Matthew Riggs may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Riggs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2019 | 81 | |
| 3 | 2010 | 57 | |
| 4 | 2020 | 36 | |
| 5 | 2016 | 21 | |
| 6 | 2012 | 17 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 8 | |
| 12 | An Evaluation of Calcilytic Effects on Parathyroid Hormone and Bone Mineral Density Response Using a Physiologically-Based, Multiscale Systems Pharmacology Model | 2013 | 4 |
| 13 | 2019 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 1997 | 0 |
About Matthew Riggs
Matthew Riggs is a scholar working on Oncology, Statistics and Probability, Pediatrics, Perinatology and Child Health, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 371 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Bone health and treatments (2 papers), Bone health and osteoporosis research (2 papers), Cardiac Arrest and Resuscitation (2 papers), HER2/EGFR in Cancer Research (2 papers), Pharmaceutical studies and practices (2 papers) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Emergency Medicine (57 citations), Pharmacology (46 citations), Statistics and Probability (29 citations), Oncology (62 citations) and Genetics (19 citations). Matthew Riggs has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Richard C. Franklin, Carlos A. Garberoglio, Héctor Betancourt, Patricia M. Flynn, Valerie Nock, Rolf Burghaus, Mats O. Karlsson, Andrea N. Edginton, Andreas Kovar and Thorsten Lehr. Their work appears in journals such as Neuroradiology, CPT Pharmacometrics & Systems Pharmacology, Diabetes Therapy, Cancer Chemotherapy and Pharmacology and Health Education Research.
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.