Matthew W. Frank
- Molecular Biology top 5%
- Epidemiology top 10%
- Cell Biology top 2%
- Infectious Diseases top 5%
- Genetics top 5%
- Co-authors
- Charles O. RockSuzanne JackowskiJoshua B. ParsonsJiangwei YaoPamela JacksonJoseph W. BrewerRungtawan SriburiChitra Subramanian
- Topics
- Antimicrobial Resistance in Staphylococcus (15 papers)Neurological diseases and metabolism (11 papers)Bacterial Genetics and Biotechnology (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Matthew W. Frank
62 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.7k
- Epidemiology 470
- Cell Biology 467
- Infectious Diseases 444
- Genetics 419
Countries citing papers authored by Matthew W. Frank
This map shows the geographic impact of Matthew W. Frank'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 W. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Frank more than expected).
Fields of papers citing papers by Matthew W. Frank
This network shows the impact of papers produced by Matthew W. Frank. 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 W. Frank. The network helps show where Matthew W. Frank may publish in the future.
Co-authorship network of co-authors of Matthew W. Frank
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Frank. A scholar is included among the top collaborators of Matthew W. Frank 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 W. Frank. Matthew W. Frank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 13 | |
| 5 | 61 | |
| 6 | 34 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 42 | |
| 10 | 38 | |
| 11 | 68 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 50 | |
| 15 | 25 | |
| 16 | 82 | |
| 17 | 170 | |
| 18 | 68 | |
| 19 | 7 | |
| 20 | 52 |
About Matthew W. Frank
Matthew W. Frank is a scholar working on Neurology, Clinical Biochemistry and Infectious Diseases, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Neurological diseases and metabolism (11 papers) and Bacterial Genetics and Biotechnology (11 papers). The work is most often cited by research in Molecular Medicine (257 citations), Clinical Biochemistry (201 citations) and Microbiology (182 citations). Matthew W. Frank has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Charles O. Rock, Suzanne Jackowski, Joshua B. Parsons, Jiangwei Yao, Pamela Jackson, Joseph W. Brewer, Rungtawan Sriburi, Chitra Subramanian, Hemamalini Bommiasamy and Chitra Subramanian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.