Mats Lake

21 total papers · 854 total citations
19 papers, 715 citations indexed

About

Mats Lake is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Mats Lake has authored 19 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Mats Lake's work include Growth Hormone and Insulin-like Growth Factors (10 papers), Digestive system and related health (2 papers) and Pancreatic function and diabetes (2 papers). Mats Lake is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (10 papers), Digestive system and related health (2 papers) and Pancreatic function and diabetes (2 papers). Mats Lake collaborates with scholars based in Sweden, United States and Denmark. Mats Lake's co-authors include Vicki R. Sara, Kerstin Hall, Magnus Gidlund, Gunnar Kratz, A. A. Sandberg, Maris Hartmanis, Hans von Holst, Anthony F. Philipps, Anna Skottner and Christine Carlsson‐Skwirut and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Mats Lake

19 papers receiving 691 citations

Author Peers

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

Author						Papers	Cites
Mats Lake	356	315	152	105	91	19	715
Gordon J. Allan	365 1.0×	483 1.5×	151 1.0×	63 0.6×	159 1.7×	23	795
Beverly S. Schaffer	215 0.6×	447 1.4×	214 1.4×	52 0.5×	127 1.4×	28	776
Stephen R. Lasky	423 1.2×	381 1.2×	141 0.9×	66 0.6×	62 0.7×	12	691
Claudia Papewalis	269 0.8×	221 0.7×	100 0.7×	112 1.1×	57 0.6×	34	884
Yousef G. Amaar	271 0.8×	599 1.9×	121 0.8×	41 0.4×	155 1.7×	22	823
Minna Tamminen	138 0.4×	170 0.5×	78 0.5×	182 1.7×	82 0.9×	19	686
Gopalakrishnan M. Venkataraman	305 0.9×	289 0.9×	118 0.8×	74 0.7×	46 0.5×	19	891
Guillermo Barila	189 0.5×	237 0.8×	87 0.6×	45 0.4×	44 0.5×	19	731
Yukiko Sakamoto	159 0.4×	317 1.0×	120 0.8×	152 1.4×	23 0.3×	32	782
Beatriz Pérez‐Villamil	91 0.3×	400 1.3×	153 1.0×	118 1.1×	88 1.0×	21	726

Countries citing papers authored by Mats Lake

Since Specialization

Citations

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

Fields of papers citing papers by Mats Lake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Lake

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Lake. A scholar is included among the top collaborators of Mats Lake 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 Mats Lake. Mats Lake 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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