Svenja Meierjohann
- Cell Biology top 5%
- melanin and skin pigmentation 10
- Hippo pathway signaling and YAP/TAZ 5
- Molecular Biology top 10%
- Melanoma and MAPK Pathways 18
- Genomics, phytochemicals, and oxidative stress 7
- Immunology top 10%
- Immunotherapy and Immune Responses 6
- Oncology top 10%
- CAR-T cell therapy research 4
- Cytokine Signaling Pathways and Interactions 4
- Cancer Research top 10%
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Manfred SchartlAnita HufnagelRolf D. WalterSylke MüllerJosé Pedro Friedmann AngeliRoland HoubenSusanne KneitzSebastian Haferkamp
- Journals
- Oncogene (7 papers)Biochemical Journal (4 papers)Journal of Investigative Dermatology (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Svenja Meierjohann
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Cell Biology 366
- Molecular Biology 1.1k
- Immunology 331
- Oncology 425
- Cancer Research 203
Countries citing papers authored by Svenja Meierjohann
This map shows the geographic impact of Svenja Meierjohann'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 Svenja Meierjohann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svenja Meierjohann more than expected).
Fields of papers citing papers by Svenja Meierjohann
This network shows the impact of papers produced by Svenja Meierjohann. 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 Svenja Meierjohann. The network helps show where Svenja Meierjohann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Svenja Meierjohann, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 58 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 9 | |
| 7 | 転写因子NRF2は,分化を遮断し,COX2発現を誘導することによりメラノーマ悪性腫瘍を増強する【JST・京大機械翻訳】 | 2020 | 5 |
| 8 | 2020 | 60 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 39 | |
| 11 | 2013 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 58 | |
| 14 | 2012 | 34 | |
| 15 | 2010 | 50 | |
| 16 | 2010 | 29 | |
| 17 | 2009 | 72 | |
| 18 | 2008 | 65 | |
| 19 | 2006 | 30 | |
| 20 | 2006 | 16 |
About Svenja Meierjohann
Svenja Meierjohann is a scholar working on Cell Biology, Oncology, Molecular Biology, Immunology and Allergy and Dermatology, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (18 papers), melanin and skin pigmentation (10 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Immunotherapy and Immune Responses (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), CAR-T cell therapy research (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Cell Biology (366 citations), Molecular Biology (1.1k citations), Immunology (331 citations), Oncology (425 citations) and Cancer Research (203 citations). Svenja Meierjohann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Manfred Schartl, Anita Hufnagel, Rolf D. Walter, Sylke Müller, José Pedro Friedmann Angeli, Roland Houben, Susanne Kneitz, Sebastian Haferkamp, Werner Schmitz and Brigitta Wilde. Their work appears in journals such as Oncogene, Biochemical Journal, Journal of Investigative Dermatology, Pigment Cell & Melanoma Research and Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology.
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.