Peter Lindquist

543 total citations
11 papers, 367 citations indexed

About

Peter Lindquist is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Peter Lindquist has authored 11 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Peter Lindquist's work include Diabetes Treatment and Management (6 papers), Receptor Mechanisms and Signaling (4 papers) and Pancreatic function and diabetes (4 papers). Peter Lindquist is often cited by papers focused on Diabetes Treatment and Management (6 papers), Receptor Mechanisms and Signaling (4 papers) and Pancreatic function and diabetes (4 papers). Peter Lindquist collaborates with scholars based in Denmark, United States and Poland. Peter Lindquist's co-authors include Robert W. Mahley, J K Boyles, Walter J. Brecht, M. Mahmood Hussain, Frank M. Yatsu, I Diamond, M Fainaru, T L Innerarity, Mette M. Rosenkilde and Lærke S. Gasbjerg and has published in prestigious journals such as Journal of Biological Chemistry, Stroke and British Journal of Pharmacology.

In The Last Decade

Peter Lindquist

11 papers receiving 331 citations

Peers

Peter Lindquist

MB

EDM

SURGE

NEURO

CCM

Mariarita Arlotta Italy

Lichun Zhou China

A Brocchi Italy

P. Lacolley France

Hangjun Zhang Canada

Atsuhiko Suzue Japan

Gurdip Daffu United States

L. Amato Italy

Sono Toi Japan

J. H. Lee South Korea

Mariarita Arlotta Italy

Peter Lindquist

115 ×0.8

MB

65 ×0.7

EDM

72 ×0.8

SURGE

14 ×0.2

NEURO

66 ×1.5

CCM

Citations per year, relative to Peter Lindquist Peter Lindquist (= 1×) peers Mariarita Arlotta

Countries citing papers authored by Peter Lindquist

Since Specialization

Citations

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

Fields of papers citing papers by Peter Lindquist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Lindquist. 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 Peter Lindquist. The network helps show where Peter Lindquist may publish in the future.

Co-authorship network of co-authors of Peter Lindquist

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lindquist. A scholar is included among the top collaborators of Peter Lindquist 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 Peter Lindquist. Peter Lindquist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Rosenkilde, Mette M., et al.. (2024). GIP-derived GIP receptor antagonists – a review of their role in GIP receptor pharmacology. Peptides. 177. 171212–171212. 9 indexed citations

2.

Lindquist, Peter, Mette M. Rosenkilde, Kim F. Haselmann, et al.. (2024). Using LanM Enzymes to Modify Glucagon‐Like Peptides 1 and 2 in E.coli. ChemBioChem. 25(13). e202400201–e202400201. 2 indexed citations

3.

Gasbjerg, Lærke S., Peter Lindquist, Tomasz Maciej Stępniewski, et al.. (2024). Altered desensitization and internalization patterns of rodent versus human glucose‐dependent insulinotropic polypeptide (GIP) receptors. An important drug discovery challenge. British Journal of Pharmacology. 182(14). 3353–3370. 11 indexed citations

4.

Lindquist, Peter, Lærke S. Gasbjerg, Jacek Mokrosiński, et al.. (2022). The Location of Missense Variants in the Human GIP Gene Is Indicative for Natural Selection. Frontiers in Endocrinology. 13. 891586–891586. 5 indexed citations

5.

Gabe, M, et al.. (2022). N‐terminal alterations turn the gut hormone GLP‐2 into an antagonist with gradual loss of GLP‐2 receptor selectivity towards more GLP‐1 receptor interaction. British Journal of Pharmacology. 179(18). 4473–4485. 8 indexed citations

6.

Velden, Wijnand J. C. van der, Peter Lindquist, Nicolai J. Wewer Albrechtsen, et al.. (2021). Molecular and in vivo phenotyping of missense variants of the human glucagon receptor. Journal of Biological Chemistry. 298(2). 101413–101413. 16 indexed citations

7.

Lindquist, Peter, et al.. (2021). Mutational Landscape of the Proglucagon-Derived Peptides. Frontiers in Endocrinology. 12. 698511–698511. 9 indexed citations

8.

Hussain, M. Mahmood, Robert W. Mahley, J K Boyles, et al.. (1989). Chylomicron-Chylomicron Remnant Clearance by Liver and Bone Marrow in Rabbits. Journal of Biological Chemistry. 264(16). 9571–9582. 103 indexed citations

9.

Hussain, M. Mahmood, Robert W. Mahley, J K Boyles, et al.. (1989). Chylomicron metabolism. Journal of Biological Chemistry. 264(30). 17931–17938. 86 indexed citations

10.

Yatsu, Frank M., et al.. (1974). An Experimental Model of Brain Ischemia Combining Hypotension and Hypoxia. Stroke. 5(1). 32–39. 12 indexed citations

11.

Yatsu, Frank M., et al.. (1972). Experimental Brain Ischemia: Protection From Irreversible Damage With a Rapid-Acting Barbiturate (Methohexital). Stroke. 3(6). 726–732. 106 indexed citations

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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