Jil Sander

4.1k total citations
9 papers, 850 citations indexed

About

Jil Sander is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Jil Sander has authored 9 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Jil Sander's work include Immune cells in cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). Jil Sander is often cited by papers focused on Immune cells in cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). Jil Sander collaborates with scholars based in Germany, United States and Denmark. Jil Sander's co-authors include Joachim L. Schultze, Kim Nguyen, Yun‐Hee Youm, Vishwa Deep Dixit, Chester Brown, Matthew S. Rodeheffer, Aileen Lee, John D. Elsworth, Allison Wing and Christina D. Camell and has published in prestigious journals such as Nature, Bioinformatics and The Journal of Immunology.

In The Last Decade

Jil Sander

8 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jil Sander Germany 8 345 284 228 209 130 9 850
Monica Y. Lee United States 7 386 1.1× 387 1.4× 161 0.7× 175 0.8× 98 0.8× 7 922
Janet Beckmann Germany 9 347 1.0× 211 0.7× 91 0.4× 75 0.4× 113 0.9× 10 764
Ethan A. Sarnoski United States 6 500 1.4× 227 0.8× 535 2.3× 157 0.8× 116 0.9× 7 1.1k
Nadine Watson Australia 9 393 1.1× 133 0.5× 306 1.3× 274 1.3× 46 0.4× 9 970
Hye Youn Sung South Korea 15 501 1.5× 166 0.6× 76 0.3× 101 0.5× 145 1.1× 31 873
Myron E. Hinsdale United States 14 535 1.6× 119 0.4× 184 0.8× 69 0.3× 141 1.1× 28 949
Pamela Lockyer United States 17 694 2.0× 95 0.3× 138 0.6× 167 0.8× 86 0.7× 32 1.0k
Prashant Rajbhandari United States 13 340 1.0× 148 0.5× 288 1.3× 237 1.1× 93 0.7× 24 719
John Le Lay United States 19 790 2.3× 184 0.6× 182 0.8× 219 1.0× 214 1.6× 22 1.5k

Countries citing papers authored by Jil Sander

Since Specialization
Citations

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

Fields of papers citing papers by Jil Sander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jil Sander

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

All Works

9 of 9 papers shown
1.
Ravussin, Anthony, Yun‐Hee Youm, Jil Sander, et al.. (2018). Loss of Nucleobindin-2 Causes Insulin Resistance in Obesity without Impacting Satiety or Adiposity. Cell Reports. 24(5). 1085–1092.e6. 25 indexed citations
2.
Camell, Christina D., Jil Sander, Olga Spadaro, et al.. (2017). Inflammasome-driven catecholamine catabolism in macrophages blunts lipolysis during ageing. Nature. 550(7674). 119–123. 344 indexed citations
3.
Camell, Christina D., Jil Sander, Olga Spadaro, et al.. (2017). NLRP3 Inflammasome controls adipose tissue macrophage activation during aging. The Journal of Immunology. 198(Supplement_1). 154.3–154.3.
4.
Schmidt, Susanne V., Wolfgang Krebs, Thomas Ulas, et al.. (2016). The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin. Cell Research. 26(2). 151–170. 60 indexed citations
5.
Sander, Jil, Joachim L. Schultze, & Nir Yosef. (2016). ImpulseDE: detection of differentially expressed genes in time series data using impulse models. Bioinformatics. 33(5). 757–759. 29 indexed citations
6.
Roylance, Rebecca, David Endesfelder, Mariam Jamal‐Hanjani, et al.. (2014). Expression of regulators of mitotic fidelity are associated with intercellular heterogeneity and chromosomal instability in primary breast cancer. Breast Cancer Research and Treatment. 148(1). 221–229. 9 indexed citations
7.
Beyer, Marc, Michael R. Mallmann, Jia Xue, et al.. (2012). High-Resolution Transcriptome of Human Macrophages. PLoS ONE. 7(9). e45466–e45466. 198 indexed citations
8.
Roylance, Rebecca, David Endesfelder, Patricia Gorman, et al.. (2011). Relationship of Extreme Chromosomal Instability with Long-term Survival in a Retrospective Analysis of Primary Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 20(10). 2183–2194. 133 indexed citations
9.
Lee, Alvin, Rebecca Roylance, Jil Sander, et al.. (2011). CERT depletion predicts chemotherapy benefit and mediates cytotoxic and polyploid‐specific cancer cell death through autophagy induction. The Journal of Pathology. 226(3). 482–494. 52 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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