Leon G. Straub

39 total papers · 1.7k total citations
22 papers, 901 citations indexed

About

Leon G. Straub is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Leon G. Straub has authored 22 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 11 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Leon G. Straub's work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Diet and metabolism studies (3 papers). Leon G. Straub is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Diet and metabolism studies (3 papers). Leon G. Straub collaborates with scholars based in United States, Switzerland and Germany. Leon G. Straub's co-authors include Philipp E. Scherer, Christian Wolfrum, Miroslav Baláž, Wenfei Sun, Gerald Grandl, Myrtha Arnold, Barbara Ukropcová, Salvatore Modica, Jozef Ukropec and Daniel Konrad and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Physiology.

In The Last Decade

Leon G. Straub

21 papers receiving 890 citations

Hit Papers

Metabolic Messengers: adi... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Leon G. Straub 530 332 313 124 101 22 901
Àgatha Cabrero 450 0.8× 354 1.1× 462 1.5× 96 0.8× 72 0.7× 19 868
Tomoya Sakamoto 559 1.1× 381 1.1× 356 1.1× 166 1.3× 70 0.7× 22 935
William Donelan 607 1.1× 288 0.9× 326 1.0× 119 1.0× 109 1.1× 22 965
Ivet Elias 490 0.9× 352 1.1× 312 1.0× 162 1.3× 76 0.8× 16 851
Diti Chatterjee Bhowmick 633 1.2× 402 1.2× 321 1.0× 167 1.3× 76 0.8× 18 1.0k
Nicole H. Rogers 444 0.8× 314 0.9× 275 0.9× 77 0.6× 155 1.5× 15 1000
Mackenzie Pearson 310 0.6× 312 0.9× 377 1.2× 91 0.7× 132 1.3× 14 799
Chien‐Min Hung 511 1.0× 381 1.1× 338 1.1× 153 1.2× 64 0.6× 23 923
María Calderón‐Domínguez 438 0.8× 268 0.8× 344 1.1× 146 1.2× 59 0.6× 30 960
Dequan Zhou 543 1.0× 376 1.1× 360 1.2× 176 1.4× 75 0.7× 17 1.0k

Countries citing papers authored by Leon G. Straub

Since Specialization
Citations

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

Fields of papers citing papers by Leon G. Straub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon G. Straub. 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 Leon G. Straub. The network helps show where Leon G. Straub may publish in the future.

Co-authorship network of co-authors of Leon G. Straub

This figure shows the co-authorship network connecting the top 25 collaborators of Leon G. Straub. A scholar is included among the top collaborators of Leon G. Straub 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 Leon G. Straub. Leon G. Straub 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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