Tim J. Schulz

9.8k total citations · 3 hit papers
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

108 papers receiving 6.6k citations

Hit Papers

Glucose Restriction Extends Caenorhabditis elegans Life S... 2007 2026 2013 2019 2007 2008 2017 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim J. Schulz Germany 36 3.5k 2.5k 1.9k 707 705 115 6.7k
Ming Xu China 31 2.4k 0.7× 2.6k 1.0× 788 0.4× 404 0.6× 435 0.6× 129 6.0k
Bennett G. Childs United States 11 4.9k 1.4× 4.1k 1.6× 973 0.5× 380 0.5× 267 0.4× 12 9.1k
Fátima Bosch Spain 50 2.4k 0.7× 3.8k 1.5× 1.1k 0.6× 1.9k 2.7× 441 0.6× 167 7.8k
Marcelo A. Mori Brazil 33 2.0k 0.6× 2.9k 1.1× 1.3k 0.7× 448 0.6× 697 1.0× 100 5.6k
Stéphane Gesta United States 23 2.7k 0.8× 1.6k 0.6× 1.9k 1.0× 866 1.2× 1000 1.4× 50 5.3k
Jae Myoung Suh United States 23 1.6k 0.5× 2.4k 0.9× 1.2k 0.6× 572 0.8× 347 0.5× 42 4.7k
Diana Jurk United States 28 4.0k 1.2× 3.1k 1.2× 1.0k 0.5× 334 0.5× 152 0.2× 42 7.4k
Jun Nakae Japan 40 2.3k 0.7× 6.1k 2.4× 1.6k 0.8× 2.2k 3.2× 319 0.5× 89 9.0k
Naoto Kubota Japan 57 3.1k 0.9× 5.6k 2.2× 2.9k 1.5× 2.0k 2.8× 749 1.1× 155 11.0k

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

20 of 20 papers shown
2.
Köhler, Ralf, Andrew Woehler, Antigoni Triantafyllopoulou, et al.. (2024). MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution. Nature Communications. 15(1). 1764–1764. 6 indexed citations
3.
Soultoukis, George A., Mandy Stadion, Francisco García‐Carrizo, et al.. (2022). Distinct Adipogenic and Fibrogenic Differentiation Capacities of Mesenchymal Stromal Cells from Pancreas and White Adipose Tissue. International Journal of Molecular Sciences. 23(4). 2108–2108. 3 indexed citations
4.
Kirschner, Karin M., Anna Foryst‐Ludwig, Sabrina Gohlke, et al.. (2021). Wt1 haploinsufficiency induces browning of epididymal fat and alleviates metabolic dysfunction in mice on high-fat diet. Diabetologia. 65(3). 528–540. 7 indexed citations
5.
Krstić, Jelena, et al.. (2018). p53 as a Dichotomous Regulator of Liver Disease: The Dose Makes the Medicine. International Journal of Molecular Sciences. 19(3). 921–921. 43 indexed citations
6.
Krstić, Jelena, et al.. (2018). p53 Functions in Adipose Tissue Metabolism and Homeostasis. International Journal of Molecular Sciences. 19(9). 2622–2622. 77 indexed citations
7.
Coleman, Verena, Piangkwan Sa‐nguanmoo, Tim J. Schulz, et al.. (2018). Partial involvement of Nrf2 in skeletal muscle mitohormesis as an adaptive response to mitochondrial uncoupling. Scientific Reports. 8(1). 2446–2446. 30 indexed citations
8.
Weitkunat, Karolin, Anni Woting, Klaus J. Petzke, et al.. (2017). Short-chain fatty acids and inulin, but not guar gum, prevent diet-induced obesity and insulin resistance through differential mechanisms in mice. Scientific Reports. 7(1). 164 indexed citations
9.
Graja, Antonia, et al.. (2017). Flow Cytometric Isolation and Differentiation of Adipogenic Progenitor Cells into Brown and Brite/Beige Adipocytes. Methods in molecular biology. 1566. 25–36. 13 indexed citations
10.
Macotela, Yazmín, Brice Emanuelli, Marcelo A. Mori, et al.. (2012). Intrinsic Differences in Adipocyte Precursor Cells From Different White Fat Depots. Diabetes. 61(7). 1691–1699. 246 indexed citations
11.
Kapischke, Matthias, et al.. (2010). Laparoscopic versus open appendectomy—quality of life 7 years after surgery. Langenbeck s Archives of Surgery. 396(1). 69–75. 29 indexed citations
12.
Schulz, Tim J. & Yu‐Hua Tseng. (2009). Emerging role of bone morphogenetic proteins in adipogenesis and energy metabolism. Cytokine & Growth Factor Reviews. 20(5-6). 523–531. 125 indexed citations
13.
Schulz, Tim J.. (2008). Book Review: Ewert, B. 2007: Potentiale der direkten Demokratie in Litauen, Slowenien und Ungarn unter besonderer Berücksichtigung der politischen Kultur. Frankfurt, Peter Lang 163 S. Swiss Political Science Review. 14(1). 181–184. 1 indexed citations
14.
Schulz, Tim J., Kim Zarse, Anja Voigt, et al.. (2007). Glucose Restriction Extends Caenorhabditis elegans Life Span by Inducing Mitochondrial Respiration and Increasing Oxidative Stress. Cell Metabolism. 6(4). 280–293. 944 indexed citations breakdown →
15.
Schulz, Tim J., et al.. (2005). Fréquence des démences et pré-démences chez les personnes âgées demandant l'allocation personnalisée d'autonomie dans la Nièvre. Santé Publique. Vol. 17(2). 293–300. 1 indexed citations
16.
Böckmann, Roland, et al.. (2005). Bilateral synchronous submandibular lumps in a patient with gastric carcinoma. Journal of Oral Pathology and Medicine. 34(2). 127–128. 4 indexed citations
17.
Kapischke, Matthias, et al.. (2005). Precoating of alloplastic materials with living human fibroblasts—a feasibility study. Surgical Endoscopy. 19(6). 791–797. 27 indexed citations
18.
Ristow, Michael, Hindrik Mulder, Tim J. Schulz, et al.. (2003). Frataxin deficiency in pancreatic islets causes diabetes due to loss of β cell mass. Journal of Clinical Investigation. 112(4). 527–534. 107 indexed citations
19.
Ristow, Michael, Hindrik Mulder, Tim J. Schulz, et al.. (2003). Frataxin deficiency in pancreatic islets causes diabetes due to loss of β cell mass. Journal of Clinical Investigation. 112(4). 527–534. 7 indexed citations
20.
Schneider, J.‐P., Tim J. Schulz, Frank Schmidt, et al.. (2001). Gross-total Surgery of Supratentorial Low-grade Gliomas under Intraoperative MR Guidance. PubMed Central. 74 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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