Matthew Riggs

517 total citations
15 papers, 354 citations indexed

About

Matthew Riggs is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matthew Riggs has authored 15 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matthew Riggs's work include Statistical Methods in Clinical Trials (3 papers), Bone health and treatments (2 papers) and Cardiac Arrest and Resuscitation (2 papers). Matthew Riggs is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Bone health and treatments (2 papers) and Cardiac Arrest and Resuscitation (2 papers). Matthew Riggs collaborates with scholars based in United States, Australia and Switzerland. Matthew Riggs's co-authors include Richard C. Franklin, Carlos A. Garberoglio, Héctor Betancourt, Patricia M. Flynn, Juri Solodenko, Alexander Staab, Sebastian Frechen, Andreas Kovar, Mats O. Karlsson and Thorsten Lehr and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Clinical Pharmacology and Drug Metabolism and Disposition.

In The Last Decade

Matthew Riggs

14 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Riggs United States	10	73	68	45	44	36	15	354
Jason J. Bischof United States	10	62 0.8×	107 1.6×	44 1.0×	20 0.5×	69 1.9×	57	422
Mònica Sabaté Spain	13	25 0.3×	60 0.9×	70 1.6×	18 0.4×	20 0.6×	37	406
Tonny Studsgaard Petersen Denmark	17	84 1.2×	61 0.9×	86 1.9×	66 1.5×	127 3.5×	72	674
Patrick Hindlet France	12	23 0.3×	55 0.8×	13 0.3×	45 1.0×	17 0.5×	29	351
Sardar Zakariya Imam Pakistan	9	16 0.2×	70 1.0×	31 0.7×	41 0.9×	75 2.1×	14	409
Yun Kim South Korea	11	21 0.3×	28 0.4×	47 1.0×	49 1.1×	19 0.5×	59	491
Manal El‐Hamamsy Egypt	13	32 0.4×	22 0.3×	12 0.3×	80 1.8×	37 1.0×	32	616
Cynthia A. Naughton United States	8	35 0.5×	29 0.4×	59 1.3×	9 0.2×	137 3.8×	11	503
Penglin Ma China	10	53 0.7×	55 0.8×	7 0.2×	46 1.0×	26 0.7×	39	521
Maria Carmen G. Diaz United States	15	67 0.9×	140 2.1×	24 0.5×	127 2.9×	86 2.4×	49	685

Countries citing papers authored by Matthew Riggs

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Riggs

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

All Works

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15 of 15 papers shown

Bhandari, Abhishta, et al.. (2021). The role of 2-hydroxyglutarate magnetic resonance spectroscopy for the determination of isocitrate dehydrogenase status in lower grade gliomas versus glioblastoma: a systematic review and meta-analysis of diagnostic test accuracy. Neuroradiology. 63(11). 1823–1830. 15 indexed citations

Riggs, Matthew, et al.. (2020). Quantification of the Impact of Partition Coefficient Prediction Methods on Physiologically Based Pharmacokinetic Model Output Using a Standardized Tissue Composition. Drug Metabolism and Disposition. 48(10). 903–916. 33 indexed citations

Riggs, Matthew, et al.. (2019). Associations between cardiopulmonary resuscitation (CPR) knowledge, self-efficacy, training history and willingness to perform CPR and CPR psychomotor skills: A systematic review. Resuscitation. 138. 259–272. 83 indexed citations

Lippert, Jörg, Rolf Burghaus, Andrea N. Edginton, et al.. (2019). Open Systems Pharmacology Community—An Open Access, Open Source, Open Science Approach to Modeling and Simulation in Pharmaceutical Sciences. CPT Pharmacometrics & Systems Pharmacology. 8(12). 878–882. 78 indexed citations

Lu, Dan, Chunze Li, Matthew Riggs, et al.. (2019). Pharmacokinetics of trastuzumab emtansine (T-DM1) as a single agent or in combination with pertuzumab in HER2-positive breast cancer patients with recurrent or locally advanced metastatic breast cancer. Cancer Chemotherapy and Pharmacology. 84(1). 175–185. 3 indexed citations

Franklin, Richard C., et al.. (2019). A Systematic Review of Large Agriculture Vehicles Use and Crash Incidents on Public Roads. Journal of Agromedicine. 25(1). 14–27. 12 indexed citations

Riggs, Matthew, et al.. (2019). Cardiopulmonary resuscitation (CPR) psychomotor skills of laypeople, as affected by training interventions, number of times trained and retention testing intervals: A dataset derived from a systematic review. SHILAP Revista de lepidopterología. 25. 104236–104236. 2 indexed citations

Quartino, Angelica, Matthew Riggs, Jonathan French, et al.. (2017). Population pharmacokinetics and exposure–response of trastuzumab emtansine in advanced breast cancer previously treated with ≥2 HER2‐targeted regimens. British Journal of Clinical Pharmacology. 83(12). 2767–2777. 17 indexed citations

Gillespie, William J., et al.. (2017). A model of fracture risk used to examine the link between bone mineral density and the impact of different therapeutic mechanisms on fracture outcomes in patients with osteoporosis. Journal of Pharmacokinetics and Pharmacodynamics. 44(6). 599–609. 7 indexed citations

10.

Macha, Sreeraj, et al.. (2016). Population Pharmacokinetics and Exposure–Response (Efficacy and Safety/Tolerability) of Empagliflozin in Patients with Type 2 Diabetes. Diabetes Therapy. 7(3). 455–471. 18 indexed citations

11.

Delahanty, Linda M., et al.. (2016). Maximizing retention in long‐term clinical trials of a weight loss agent: use of a dietitian support team. Obesity Science & Practice. 2(3). 256–265. 11 indexed citations

12.

Riggs, Matthew, Takako Shimizu, Fumihiko Okada, et al.. (2013). An Evaluation of Calcilytic Effects on Parathyroid Hormone and Bone Mineral Density Response Using a Physiologically-Based, Multiscale Systems Pharmacology Model. 4 indexed citations

13.

Knebel, William, Jeannine M. Fisher, William R. Gillespie, et al.. (2012). Facilitating pharmacometric workflow with the metrumrg package for R. Computer Methods and Programs in Biomedicine. 109(1). 77–85. 16 indexed citations

14.

Betancourt, Héctor, Patricia M. Flynn, Matthew Riggs, & Carlos A. Garberoglio. (2010). A cultural research approach to instrument development: the case of breast and cervical cancer screening among Latino and Anglo women. Health Education Research. 25(6). 991–1007. 55 indexed citations

15.

Riggs, Matthew. (1997). Population Pharmacokinetics/Pharmacodynamics and Individualized Drug Therapy. Journal of the American Pharmaceutical Association (1996). 37(1). 59–61.

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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