Ulf D. Kahlert
- Genetics top 2%
- Glioma Diagnosis and Treatment 26
- Cancer Research top 2%
- MicroRNA in disease regulation 14
- Cancer, Hypoxia, and Metabolism 11
- Cancer Genomics and Diagnostics 8
- Oncology top 5%
- Cancer Cells and Metastasis 13
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 10
- Pluripotent Stem Cells Research 7
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- Ferroptosis and cancer prognosis 11
- Co-authors
- Jarek MaciaczykGuido NikkhahCharles G. EberhartFrank A.E. KruytJustin V. JosephDaniel HänggiAbigail K. SuwalaBrent A. Orr
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- SHILAP Revista de lepidopterología (3 papers)Cell Metabolism (1 paper)Cancer Research (3 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Ulf D. Kahlert
88 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 589
- Cancer Research 830
- Oncology 563
- Developmental Neuroscience 79
- Molecular Biology 1.3k
Countries citing papers authored by Ulf D. Kahlert
This map shows the geographic impact of Ulf D. Kahlert'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 Ulf D. Kahlert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf D. Kahlert more than expected).
Fields of papers citing papers by Ulf D. Kahlert
This network shows the impact of papers produced by Ulf D. Kahlert. 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 Ulf D. Kahlert. The network helps show where Ulf D. Kahlert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulf D. Kahlert, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 4 | |
| 5 | Glycometabolic reprogramming-induced XRCC1 lactylation confers therapeutic resistance in ALDH1A3-overexpressing glioblastomabreakdown → | 2024 | 92 |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 35 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 20 | |
| 20 | 2011 | 137 |
About Ulf D. Kahlert
Ulf D. Kahlert is a scholar working on Genetics, Cancer Research and Developmental Neuroscience, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), MicroRNA in disease regulation (14 papers), Cancer Cells and Metastasis (13 papers), Ferroptosis and cancer prognosis (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Epigenetics and DNA Methylation (10 papers), Cancer Genomics and Diagnostics (8 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Genetics (589 citations), Cancer Research (830 citations) and Oncology (563 citations). Ulf D. Kahlert has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Jarek Maciaczyk, Guido Nikkhah, Charles G. Eberhart, Frank A.E. Kruyt, Justin V. Joseph, Daniel Hänggi, Abigail K. Suwala, Brent A. Orr, Eric H. Raabe and Hans‐Jakob Steiger. Their work appears in journals such as SHILAP Revista de lepidopterología, Cell Metabolism and Cancer Research.
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.