Tim J. Schulz

186 total papers · 9.7k total citations
115 papers, 6.7k citations indexed

About

Tim J. Schulz is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Tim J. Schulz has authored 115 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 35 papers in Molecular Biology and 31 papers in Surgery. Recurrent topics in Tim J. Schulz's work include Adipose Tissue and Metabolism (42 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers) and Mitochondrial Function and Pathology (13 papers). Tim J. Schulz is often cited by papers focused on Adipose Tissue and Metabolism (42 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers) and Mitochondrial Function and Pathology (13 papers). Tim J. Schulz collaborates with scholars based in Germany, United States and Austria. Tim J. Schulz's co-authors include Yu‐Hua Tseng, Michael Ristow, Anja Voigt, Kim Zarse, Marc Birringer, Tian Lian Huang, Nadine Urban, Antonia Graja, C. Ronald Kahn and Sabrina Gohlke and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tim J. Schulz

107 papers receiving 6.6k citations

Hit Papers

Glucose Restriction Exten... 2007 2026 2013 2019 2007 2008 2017 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tim J. Schulz 3.5k 2.5k 1.9k 706 705 115 6.7k
Ming Xu 2.4k 0.7× 2.6k 1.0× 787 0.4× 396 0.6× 434 0.6× 128 6.0k
Jérémie Boucher 3.5k 1.0× 2.9k 1.2× 2.4k 1.3× 1.4k 2.0× 1.2k 1.7× 70 7.9k
Marcelo A. Mori 2.0k 0.6× 2.9k 1.1× 1.3k 0.7× 445 0.6× 691 1.0× 100 5.5k
Fátima Bosch 2.4k 0.7× 3.8k 1.5× 1.1k 0.6× 1.9k 2.7× 440 0.6× 167 7.8k
Carsten Skurk 1.3k 0.4× 3.7k 1.5× 734 0.4× 737 1.0× 1.6k 2.3× 132 6.4k
Bart van de Sluis 2.6k 0.7× 3.4k 1.3× 943 0.5× 583 0.8× 295 0.4× 95 7.7k
Anu Kauppinen 2.2k 0.6× 4.5k 1.8× 1.6k 0.8× 397 0.6× 189 0.3× 124 9.8k
Matthew J. Potthoff 1.8k 0.5× 5.2k 2.1× 1.1k 0.6× 851 1.2× 462 0.7× 55 7.4k
Stéphane Gesta 2.7k 0.8× 1.6k 0.6× 1.9k 1.0× 869 1.2× 999 1.4× 50 5.3k
Jun Nakae 2.3k 0.7× 6.1k 2.4× 1.6k 0.8× 2.3k 3.2× 318 0.5× 89 9.0k

Countries citing papers authored by Tim J. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Tim J. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim J. Schulz. 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 Tim J. Schulz. The network helps show where Tim J. Schulz may publish in the future.

Co-authorship network of co-authors of Tim J. Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Tim J. Schulz. A scholar is included among the top collaborators of Tim J. Schulz 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 Tim J. Schulz. Tim J. Schulz 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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