P. Kay Lund

82 total papers · 5.4k total citations
59 papers, 4.5k citations indexed

About

P. Kay Lund is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, P. Kay Lund has authored 59 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Physiology. Recurrent topics in P. Kay Lund's work include Growth Hormone and Insulin-like Growth Factors (10 papers), Metabolism and Genetic Disorders (10 papers) and Diet and metabolism studies (10 papers). P. Kay Lund is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (10 papers), Metabolism and Genetic Disorders (10 papers) and Diet and metabolism studies (10 papers). P. Kay Lund collaborates with scholars based in United Kingdom, United States and Norway. P. Kay Lund's co-authors include HA Krebs, A. Joseph D’Ercole, Victor K. M. Han, H. A. Krebs, Malcolm Watford, Geoffrey Livesey, R. Hems, Gabriel Baverel, Jolanta B. Pucilowska and Neal W. Cornell and has published in prestigious journals such as Science, Gastroenterology and Diabetes.

In The Last Decade

P. Kay Lund

57 papers receiving 4.2k citations

Hit Papers

The redox state of free n... 1967 2026 1986 2006 1967 1987 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
P. Kay Lund 1.7k 1.1k 901 771 660 59 4.5k
Patricia A. Craven 2.1k 1.3× 1.5k 1.4× 666 0.7× 885 1.1× 660 1.0× 119 5.6k
Jean L. Olson 2.1k 1.2× 975 0.9× 564 0.6× 328 0.4× 1.0k 1.6× 109 8.6k
Neil R.M. Buist 2.0k 1.2× 732 0.7× 413 0.5× 1.6k 2.1× 378 0.6× 111 5.4k
David Schachter 1.9k 1.2× 1.1k 1.0× 401 0.4× 275 0.4× 692 1.0× 102 5.1k
Ida Giardino 2.0k 1.2× 1.8k 1.7× 1.7k 1.8× 2.6k 3.4× 606 0.9× 59 7.0k
Marinus Durán 3.0k 1.8× 1.1k 1.0× 400 0.4× 2.1k 2.7× 622 0.9× 102 5.3k
Russell M. Medford 2.7k 1.6× 1.1k 1.1× 573 0.6× 235 0.3× 967 1.5× 47 6.3k
Jan‐Olof Jeppsson 1.7k 1.0× 437 0.4× 1.5k 1.6× 339 0.4× 524 0.8× 74 5.0k
Takamune Takahashi 2.1k 1.3× 529 0.5× 702 0.8× 354 0.5× 655 1.0× 97 6.3k
Robert C. Stanton 2.0k 1.2× 1.0k 1.0× 2.6k 2.9× 365 0.5× 1.2k 1.9× 73 6.8k

Countries citing papers authored by P. Kay Lund

Since Specialization
Citations

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

Fields of papers citing papers by P. Kay Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Kay Lund. 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 P. Kay Lund. The network helps show where P. Kay Lund may publish in the future.

Co-authorship network of co-authors of P. Kay Lund

This figure shows the co-authorship network connecting the top 25 collaborators of P. Kay Lund. A scholar is included among the top collaborators of P. Kay Lund 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 P. Kay Lund. P. Kay Lund 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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