Jil Sander
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Immune cells in cancer 6
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Joachim Ludwig Schultze (5 shared papers)Yun‐Hee Youm (2 shared papers)Kim Nguyen (2 shared papers)Vishwa Deep Dixit (2 shared papers)Olga Spadaro (1 shared paper)Allison Wing (1 shared paper)Chester Brown (1 shared paper)John D. Elsworth (1 shared paper)
- Journals
- Immunity (3 papers)Nature (1 paper)Breast Cancer Research and Treatment (1 paper)The Journal of Pathology (1 paper)Nature Immunology (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Jil Sander
14 papers receiving 3.3k citations
Jil Sander's Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 1.8k
- Neurology 323
- Biological Psychiatry 42
- Cancer Research 231
- Oncology 392
Countries citing papers authored by Jil Sander
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
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-authors
The 25 scholars most cited alongside Jil Sander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation Hit paper breakdown → | 2014 | 1730 |
| 2 | 2017 | 386 | |
| 3 | 2012 | 220 | |
| 4 | 2015 | 217 | |
| 5 | 2011 | 142 | |
| 6 | 2017 | 125 | |
| 7 | 2016 | 120 | |
| 8 | 2019 | 88 | |
| 9 | 2016 | 70 | |
| 10 | 2016 | 68 | |
| 11 | 2011 | 55 | |
| 12 | 2016 | 30 | |
| 13 | 2018 | 24 | |
| 14 | 2014 | 10 |
About Jil Sander
Jil Sander is a scholar working on Immunology, Cell Biology, Epidemiology, Molecular Biology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Epigenetics and DNA Methylation (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Immunology (1.8k citations), Neurology (323 citations), Biological Psychiatry (42 citations), Cancer Research (231 citations) and Oncology (392 citations). Jil Sander has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Joachim Ludwig Schultze, Yun‐Hee Youm, Kim Nguyen, Vishwa Deep Dixit, Olga Spadaro, Allison Wing, Chester Brown, John D. Elsworth, Aileen Lee and Matthew S. Rodeheffer. Their work appears in journals such as Immunity, Nature, Breast Cancer Research and Treatment, The Journal of Pathology and Nature Immunology.
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.