Lina Herhaus
- Molecular Biology top 10%
- Epidemiology top 5%
- Immunology top 10%
- Oncology top 10%
- Cell Biology top 5%
- Co-authors
- Ivan ĐikićGopal P. SapkotaMazin A. Al-SalihiThomas MacartneyBenjamin RichterDanielle A. SliterChunxin WangSascha Martens
- Topics
- Ubiquitin and proteasome pathways (12 papers)TGF-β signaling in diseases (8 papers)Autophagy in Disease and Therapy (8 papers)
- Cited by
- EpidemiologyPhysiologyParasitology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Molecular Biology
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Lina Herhaus
25 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.1k
- Epidemiology 705
- Immunology 252
- Oncology 239
- Cell Biology 232
Countries citing papers authored by Lina Herhaus
This map shows the geographic impact of Lina Herhaus'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 Lina Herhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Herhaus more than expected).
Fields of papers citing papers by Lina Herhaus
This network shows the impact of papers produced by Lina Herhaus. 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 Lina Herhaus. The network helps show where Lina Herhaus may publish in the future.
Co-authorship network of co-authors of Lina Herhaus
This figure shows the co-authorship network connecting the top 25 collaborators of Lina Herhaus. A scholar is included among the top collaborators of Lina Herhaus 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 Lina Herhaus. Lina Herhaus 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 | 1 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 54 | |
| 8 | 63 | |
| 9 | 18 | |
| 10 | 138 | |
| 11 | 29 | |
| 12 | 48 | |
| 13 | Phosphorylation of OPTN by TBK1 enhances its binding to Ub chains and promotes selective autophagy of damaged mitochondriabreakdown → | 587 |
| 14 | 29 | |
| 15 | 175 | |
| 16 | 31 | |
| 17 | 109 | |
| 18 | Regulation of the transforming growth factor pathway by reversible ubiquitylation | 1 |
| 19 | 95 | |
| 20 | 21 |
About Lina Herhaus
Lina Herhaus is a scholar working on Parasitology, Aging and Physiology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), TGF-β signaling in diseases (8 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Epidemiology (705 citations), Physiology (90 citations) and Parasitology (109 citations). Lina Herhaus has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ivan Đikić, Gopal P. Sapkota, Mazin A. Al-Salihi, Thomas Macartney, Benjamin Richter, Danielle A. Sliter, Chunxin Wang, Sascha Martens, Petra Beli and Gabriele Zaffagnini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.
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.