Matthew G. Sampson

145 total papers · 7.8k total citations
46 papers, 567 citations indexed

About

Matthew G. Sampson is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Matthew G. Sampson has authored 46 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nephrology, 25 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Matthew G. Sampson's work include Renal Diseases and Glomerulopathies (29 papers), Renal and related cancers (11 papers) and Chronic Kidney Disease and Diabetes (10 papers). Matthew G. Sampson is often cited by papers focused on Renal Diseases and Glomerulopathies (29 papers), Renal and related cancers (11 papers) and Chronic Kidney Disease and Diabetes (10 papers). Matthew G. Sampson collaborates with scholars based in United States, Brazil and United Kingdom. Matthew G. Sampson's co-authors include Matthias Kretzler, Christopher E. Gillies, Jeffrey B. Kopp, Andrew V. Schally, Joseph V. Schlosser, Luciano Debéljuk, Tsuyoshi Karashima, Catherine C. Robertson, Xiaoquan Wen and Martin R. Pollak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Matthew G. Sampson

43 papers receiving 556 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew G. Sampson 280 194 129 87 55 46 567
Gönül Oğur 64 0.2× 466 2.4× 209 1.6× 33 0.4× 45 0.8× 51 697
Stefan Zschiedrich 219 0.8× 246 1.3× 122 0.9× 26 0.3× 48 0.9× 28 648
Nana Sakakibara 126 0.5× 324 1.7× 144 1.1× 29 0.3× 25 0.5× 70 637
Gerald S. Spear 136 0.5× 244 1.3× 186 1.4× 53 0.6× 12 0.2× 38 692
Takakuni Tanizawa 186 0.7× 159 0.8× 72 0.6× 68 0.8× 33 0.6× 44 598
Pei Chen 134 0.5× 104 0.5× 117 0.9× 19 0.2× 62 1.1× 54 636
K Chihara 80 0.3× 188 1.0× 75 0.6× 17 0.2× 22 0.4× 37 567
Darren Bridgewater 130 0.5× 463 2.4× 141 1.1× 17 0.2× 49 0.9× 30 673
Marielle Martin 46 0.2× 155 0.8× 74 0.6× 25 0.3× 32 0.6× 38 635
Monika Ortmann 27 0.1× 222 1.1× 60 0.5× 24 0.3× 36 0.7× 50 647

Countries citing papers authored by Matthew G. Sampson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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