Lena Hoffmann
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Mitochondrial Function and Pathology
Papers in
-
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 2
- Mitochondrial Function and Pathology 2
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Carsten Culmsee (5 shared papers)Goutham K. Ganjam (2 shared papers)Sina Oppermann (1 shared paper)Anja Jelinek (1 shared paper)Amalia M. Dolga (1 shared paper)Sandra Neitemeier (1 shared paper)Marco B. Rust (3 shared papers)Sonja‐Verena Albers (7 shared papers)
- Journals
- Molecular Microbiology (3 papers)Cell Death and Disease (2 papers)Cancers (1 paper)FEMS Microbiology Reviews (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Lena Hoffmann
17 papers receiving 738 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 185
- Molecular Biology 533
- Pulmonary and Respiratory Medicine 219
- Cell Biology 61
- Biophysics 21
Countries citing papers authored by Lena Hoffmann
This map shows the geographic impact of Lena Hoffmann'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 Lena Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Hoffmann more than expected).
Fields of papers citing papers by Lena Hoffmann
This network shows the impact of papers produced by Lena Hoffmann. 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 Lena Hoffmann. The network helps show where Lena Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Lena Hoffmann, 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 | 2017 | 290 | |
| 2 | 2017 | 62 | |
| 3 | 2019 | 58 | |
| 4 | 2016 | 53 | |
| 5 | 2016 | 41 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 30 | |
| 9 | 2017 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2021 | 25 | |
| 12 | 2016 | 22 | |
| 13 | 1997 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2020 | 7 | |
| 16 | 2013 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 |
About Lena Hoffmann
Lena Hoffmann is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Cellular and Molecular Neuroscience and Cancer Research, having authored 18 papers that have together received 740 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Enzyme Structure and Function (6 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (2 papers), Protein Structure and Dynamics (2 papers), Mitochondrial Function and Pathology (2 papers), Narrative Theory and Analysis (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (185 citations), Molecular Biology (533 citations), Pulmonary and Respiratory Medicine (219 citations), Cell Biology (61 citations) and Biophysics (21 citations). Lena Hoffmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Carsten Culmsee, Goutham K. Ganjam, Sina Oppermann, Anja Jelinek, Amalia M. Dolga, Sandra Neitemeier, Marco B. Rust, Sonja‐Verena Albers, Phillip C. Wright and Trong Khoa Pham. Their work appears in journals such as Molecular Microbiology, Cell Death and Disease, Cancers, FEMS Microbiology Reviews and Applied Microbiology and Biotechnology.
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.