Matthew C. Smith
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Surgery
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Gary D. LukerDavid Piwnica‐WormsJason E. GestwickiJoel R. GarbowErin JacksonKathryn E. LukerJulie L. PriorSeth T. Gammon
- Topics
- Heat shock proteins research (3 papers)Anesthesia and Pain Management (2 papers)Multiple Myeloma Research and Treatments (2 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesPapua New GuineaGermany
In The Last Decade
Matthew C. Smith
26 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 980
- Oncology 552
- Immunology 496
- Surgery 193
- Cellular and Molecular Neuroscience 172
Countries citing papers authored by Matthew C. Smith
This map shows the geographic impact of Matthew C. Smith'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 C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Smith more than expected).
Fields of papers citing papers by Matthew C. Smith
This network shows the impact of papers produced by Matthew C. Smith. 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 C. Smith. The network helps show where Matthew C. Smith may publish in the future.
Co-authorship network of co-authors of Matthew C. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Smith. A scholar is included among the top collaborators of Matthew C. Smith 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 C. Smith. Matthew C. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 48 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | 45 | |
| 8 | Inhibiting Protein-Protein Interactions in the Hsp70 Complex as a Means to Regulate Protein Homeostasis. | 1 |
| 9 | 127 | |
| 10 | 41 | |
| 11 | 211 | |
| 12 | 56 | |
| 13 | 12 | |
| 14 | 20 | |
| 15 | 267 | |
| 16 | 103 | |
| 17 | 41 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 23 |
About Matthew C. Smith
Matthew C. Smith is a scholar working on Internal Medicine, Biotechnology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), Anesthesia and Pain Management (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Immunology (496 citations), Oncology (552 citations) and Molecular Biology (980 citations). Matthew C. Smith has collaborated with scholars based in United States, Papua New Guinea and Germany. Frequent co-authors include Gary D. Luker, David Piwnica‐Worms, Jason E. Gestwicki, Joel R. Garbow, Erin Jackson, Kathryn E. Luker, Julie L. Prior, Seth T. Gammon, Helen Piwnica‐Worms and Dean Y. Li. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.