Ute M. Moll
- Molecular Biology top 0.2%
- Oncology top 0.1%
- Cancer Research top 0.2%
- Biotechnology top 0.1%
- Immunology top 2%
- Co-authors
- Oleksi PetrenkoAlexander ZaikaSusan ErsterN D MarchenkoAngelina V. VasevaNeda SladeMotohiro MiharaMatthias Dobbelstein
- Topics
- Cancer-related Molecular Pathways (95 papers)Cancer Research and Treatments (44 papers)Ubiquitin and proteasome pathways (22 papers)
- Cited by
- OncologyCancer ResearchBiotechnology
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Ute M. Moll
155 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 10.6k
- Oncology 7.9k
- Cancer Research 3.4k
- Biotechnology 1.9k
- Immunology 1.3k
Countries citing papers authored by Ute M. Moll
This map shows the geographic impact of Ute M. Moll'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 Ute M. Moll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute M. Moll more than expected).
Fields of papers citing papers by Ute M. Moll
This network shows the impact of papers produced by Ute M. Moll. 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 Ute M. Moll. The network helps show where Ute M. Moll may publish in the future.
Co-authorship network of co-authors of Ute M. Moll
This figure shows the co-authorship network connecting the top 25 collaborators of Ute M. Moll. A scholar is included among the top collaborators of Ute M. Moll 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 Ute M. Moll. Ute M. Moll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 175 | |
| 5 | 32 | |
| 6 | 54 | |
| 7 | p53 Opens the Mitochondrial Permeability Transition Pore to Trigger Necrosisbreakdown → | 610 |
| 8 | 240 | |
| 9 | 68 | |
| 10 | 388 | |
| 11 | 496 | |
| 12 | Aristolochic acid and the etiology of endemic (Balkan) nephropathybreakdown → | 448 |
| 13 | 64 | |
| 14 | p53 Has a Direct Apoptogenic Role at the Mitochondriabreakdown → | 1403 |
| 15 | 6 | |
| 16 | 97 | |
| 17 | Death Signal-induced Localization of p53 Protein to Mitochondriabreakdown → | 753 |
| 18 | 65 | |
| 19 | 66 | |
| 20 | 493 |
About Ute M. Moll
Ute M. Moll is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 157 papers that have together received 15.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (95 papers), Cancer Research and Treatments (44 papers) and Ubiquitin and proteasome pathways (22 papers). The work is most often cited by research in Oncology (7.9k citations), Cancer Research (3.4k citations) and Biotechnology (1.9k citations). Ute M. Moll has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Oleksi Petrenko, Alexander Zaika, Susan Erster, N D Marchenko, Angelina V. Vaseva, Neda Slade, Motohiro Mihara, Matthias Dobbelstein, G Riou and Sonja Wolff. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.