Maren Dietrich
- Surgery
- Biomaterials top 10%
- Biomedical Engineering
- Immunology
- Virology top 10%
- Co-authors
- Stefan JockenhoevelThomas Schmitz‐RodeThomas C. FlanaganKlara Tenner‐RaczPaul RáczChristian CornélissenJörn E. SchmitzF. Hufert
- Topics
- Electrospun Nanofibers in Biomedical Applications (7 papers)Tissue Engineering and Regenerative Medicine (3 papers)Viral-associated cancers and disorders (2 papers)
- Cited by
- VirologyBiomaterialsUrology
- Partner nations
- GermanySwitzerlandIreland
In The Last Decade
Maren Dietrich
18 papers receiving 364 citations
Peers
Comparison fields: 5 of 67
- Surgery 109
- Biomaterials 95
- Biomedical Engineering 85
- Immunology 80
- Virology 72
Countries citing papers authored by Maren Dietrich
This map shows the geographic impact of Maren Dietrich'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 Maren Dietrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maren Dietrich more than expected).
Fields of papers citing papers by Maren Dietrich
This network shows the impact of papers produced by Maren Dietrich. 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 Maren Dietrich. The network helps show where Maren Dietrich may publish in the future.
Co-authorship network of co-authors of Maren Dietrich
This figure shows the co-authorship network connecting the top 25 collaborators of Maren Dietrich. A scholar is included among the top collaborators of Maren Dietrich 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 Maren Dietrich. Maren Dietrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 29 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 54 | |
| 11 | 0 | |
| 12 | 22 | |
| 13 | 21 | |
| 14 | 62 | |
| 15 | 19 | |
| 16 | 65 | |
| 17 | Classification of histopathological changes of lymph nodes in HIV-1 infection. Significance of Castleman's disease-like lymph node lesion concerning the diagnosis of HIV-1-related Kaposi's sarcoma. | 1 |
| 18 | Ultrastructural analysis of germinal centers in lymph nodes of patients with HIV-1-induced persistent generalized lymphadenopathy: evidence for persistence of infection. | 17 |
| 19 | Serological and immunological investigations in patients with gross splenomegaly from the Gabon. | 1 |
About Maren Dietrich
Maren Dietrich is a scholar working on Biomaterials, Urology and Biochemistry, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Virology (72 citations), Biomaterials (95 citations) and Urology (37 citations). Maren Dietrich has collaborated with scholars based in Germany, Switzerland and Ireland. Frequent co-authors include Stefan Jockenhoevel, Thomas Schmitz‐Rode, Thomas C. Flanagan, Klara Tenner‐Racz, Paul Rácz, Christian Cornélissen, Jörn E. Schmitz, F. Hufert, Jan van Lunzen and Herbert Schmitz. Their work appears in journals such as Immunity, The Journal of Immunology and PLoS ONE.
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.