Lisa K. Stamp

443 total papers · 15.9k total citations
275 papers, 8.3k citations indexed

About

Lisa K. Stamp is a scholar working on Nephrology, Rheumatology and Surgery. According to data from OpenAlex, Lisa K. Stamp has authored 275 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Nephrology, 110 papers in Rheumatology and 87 papers in Surgery. Recurrent topics in Lisa K. Stamp's work include Gout, Hyperuricemia, Uric Acid (169 papers), Case Reports on Hematomas (72 papers) and Rheumatoid Arthritis Research and Therapies (43 papers). Lisa K. Stamp is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (169 papers), Case Reports on Hematomas (72 papers) and Rheumatoid Arthritis Research and Therapies (43 papers). Lisa K. Stamp collaborates with scholars based in New Zealand, United States and Australia. Lisa K. Stamp's co-authors include Nicola Dalbeth, Tony R. Merriman, Peter T. Chapman, Murray L. Barclay, J O'donnell, Christopher Frampton, Jill Drake, Peter Gow, Hyon K. Choi and John Highton and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lisa K. Stamp

263 papers receiving 8.1k citations

Hit Papers

Gout 2016 2026 2019 2022 2016 2019 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Lisa K. Stamp 4.9k 2.9k 2.5k 1.8k 1.2k 275 8.3k
Tony R. Merriman 4.8k 1.0× 1.6k 0.6× 2.0k 0.8× 2.9k 1.6× 1.8k 1.6× 288 9.4k
Michael H. Pillinger 2.3k 0.5× 2.1k 0.7× 1.7k 0.7× 3.0k 1.7× 714 0.6× 190 9.2k
Lee A. Hebert 4.8k 1.0× 2.6k 0.9× 1.3k 0.5× 1.7k 0.9× 854 0.7× 147 10.9k
Glen S. Markowitz 6.9k 1.4× 1.3k 0.4× 1.3k 0.5× 3.7k 2.1× 1.7k 1.5× 195 13.4k
Kar Neng Lai 5.9k 1.2× 1.7k 0.6× 1.4k 0.6× 2.2k 1.2× 1.1k 1.0× 354 12.8k
Manuel Praga 5.4k 1.1× 654 0.2× 1.5k 0.6× 1.8k 1.0× 1.2k 1.1× 330 10.7k
Fernando Pérez-Ruiz 5.3k 1.1× 2.7k 0.9× 2.9k 1.2× 1.2k 0.6× 906 0.8× 156 6.7k
Sydney Tang 4.3k 0.9× 861 0.3× 1.1k 0.4× 2.1k 1.2× 883 0.8× 310 9.4k
Tak Mao Chan 4.8k 1.0× 4.4k 1.5× 1.5k 0.6× 1.7k 0.9× 762 0.7× 441 13.2k
Fokko J. van der Woude 2.7k 0.5× 1.9k 0.6× 2.7k 1.1× 2.0k 1.1× 609 0.5× 261 13.5k

Countries citing papers authored by Lisa K. Stamp

Since Specialization
Citations

This map shows the geographic impact of Lisa K. Stamp'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 Lisa K. Stamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa K. Stamp more than expected).

Fields of papers citing papers by Lisa K. Stamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa K. Stamp. 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 Lisa K. Stamp. The network helps show where Lisa K. Stamp may publish in the future.

Co-authorship network of co-authors of Lisa K. Stamp

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa K. Stamp. A scholar is included among the top collaborators of Lisa K. Stamp 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 Lisa K. Stamp. Lisa K. Stamp 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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