Matthew Wortham
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Surgery 11
- Pancreatic function and diabetes 11
-
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 3
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Maike Sander (12 shared papers)Yu‐Jui Yvonne Wan (2 shared papers)Lin He (2 shared papers)Maciej Czerwiński (1 shared paper)Andrew Parkinson (1 shared paper)Darell D. Bigner (3 shared papers)Roger E. McLendon (2 shared papers)Bryan L. Copple (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Diabetes Obesity and Metabolism (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Matthew Wortham
19 papers receiving 742 citations
Peers
Comparison fields: 5 of 79
- Pharmacology 73
- Endocrinology, Diabetes and Metabolism 108
- Molecular Biology 371
- Genetics 50
- Genetics 133
Countries citing papers authored by Matthew Wortham
This map shows the geographic impact of Matthew Wortham'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 Wortham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Wortham more than expected).
Fields of papers citing papers by Matthew Wortham
This network shows the impact of papers produced by Matthew Wortham. 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 Wortham. The network helps show where Matthew Wortham may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Wortham, 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 | 2007 | 105 | |
| 2 | 2012 | 90 | |
| 3 | 2009 | 81 | |
| 4 | 2012 | 81 | |
| 5 | 2018 | 62 | |
| 6 | 2008 | 62 | |
| 7 | 2021 | 42 | |
| 8 | 2016 | 40 | |
| 9 | 2018 | 37 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2023 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 15 | |
| 15 | 2012 | 12 | |
| 16 | 2014 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2016 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2025 | 0 |
About Matthew Wortham
Matthew Wortham is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 20 papers that have together received 746 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Epigenetics and DNA Methylation (6 papers), Diabetes and associated disorders (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genomics and Chromatin Dynamics (3 papers), Diabetes Management and Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Pharmacology (73 citations), Endocrinology, Diabetes and Metabolism (108 citations), Molecular Biology (371 citations), Genetics (50 citations) and Genetics (133 citations). Matthew Wortham has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Maike Sander, Yu‐Jui Yvonne Wan, Lin He, Maciej Czerwiński, Andrew Parkinson, Darell D. Bigner, Roger E. McLendon, Bryan L. Copple, Maxwell A. Gyamfi and Yiping He. Their work appears in journals such as PLoS ONE, Nature Communications, Cell Reports, Diabetes Obesity and Metabolism and Tissue Engineering Part C Methods.
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.