Matthew G. Sampson
- Nephrology top 2%
- Molecular Biology
- Genetics
- Genetics top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Christopher E. GilliesMatthias KretzlerJeffrey B. KoppLuciano DebéljukCatherine C. RobertsonXiaoquan WenAndrew V. SchallyTsuyoshi Karashima
- Topics
- Renal Diseases and Glomerulopathies (29 papers)Renal and related cancers (11 papers)Chronic Kidney Disease and Diabetes (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Matthew G. Sampson
44 papers receiving 567 citations
Peers
Comparison fields: 5 of 84
- Nephrology 286
- Molecular Biology 197
- Genetics 133
- Genetics 87
- Public Health, Environmental and Occupational Health 55
Countries citing papers authored by Matthew G. Sampson
This map shows the geographic impact of Matthew G. Sampson'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 G. Sampson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Sampson more than expected).
Fields of papers citing papers by Matthew G. Sampson
This network shows the impact of papers produced by Matthew G. Sampson. 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 G. Sampson. The network helps show where Matthew G. Sampson may publish in the future.
Co-authorship network of co-authors of Matthew G. Sampson
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Sampson. A scholar is included among the top collaborators of Matthew G. Sampson 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 G. Sampson. Matthew G. Sampson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 23 | |
| 19 | 37 | |
| 20 | Acromegaly: A study of epidemiological characteristics and treatment outcomes | 1 |
About Matthew G. Sampson
Matthew G. Sampson is a scholar working on Nephrology, Gastroenterology and Genetics, having authored 46 papers that have together received 578 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (29 papers), Renal and related cancers (11 papers) and Chronic Kidney Disease and Diabetes (10 papers). The work is most often cited by research in Nephrology (286 citations), Genetics (87 citations) and Reproductive Medicine (52 citations). Matthew G. Sampson has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Christopher E. Gillies, Matthias Kretzler, Jeffrey B. Kopp, Luciano Debéljuk, Catherine C. Robertson, Xiaoquan Wen, Andrew V. Schally, Tsuyoshi Karashima, Joseph V. Schlosser and Martin R. Pollak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.