Marie‐Lisa Eich
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Renal cell carcinoma treatment
- Ferroptosis and cancer prognosis
Papers in
- Surgery 15
- Bladder and Urothelial Cancer Treatments 11
- Urinary and Genital Oncology Studies 6
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- Renal cell carcinoma treatment 4
- Prostate Cancer Treatment and Research 4
- Co-authors
- Sooryanarayana Varambally (7 shared papers)James E. Ferguson (3 shared papers)Mohammad Athar (1 shared paper)George J. Netto (17 shared papers)Maria Del Carmen Rodriguez Peña (12 shared papers)Diana Taheri (6 shared papers)Alcides Chaux (6 shared papers)Aline C. Tregnago (5 shared papers)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (5 papers)Modern Pathology (3 papers)Histopathology (2 papers)Human Pathology (2 papers)Cancers (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Marie‐Lisa Eich
36 papers receiving 707 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 162
- Pulmonary and Respiratory Medicine 200
- Oncology 149
- Surgery 240
- Molecular Biology 361
Countries citing papers authored by Marie‐Lisa Eich
This map shows the geographic impact of Marie‐Lisa Eich'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 Marie‐Lisa Eich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Lisa Eich more than expected).
Fields of papers citing papers by Marie‐Lisa Eich
This network shows the impact of papers produced by Marie‐Lisa Eich. 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 Marie‐Lisa Eich. The network helps show where Marie‐Lisa Eich may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie‐Lisa Eich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | 2019 | 61 | |
| 3 | 2019 | 45 | |
| 4 | 2022 | 40 | |
| 5 | 2019 | 33 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2023 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 11 |
About Marie‐Lisa Eich
Marie‐Lisa Eich is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Rheumatology and Oncology, having authored 40 papers that have together received 717 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (6 papers), Urologic and reproductive health conditions (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (162 citations), Pulmonary and Respiratory Medicine (200 citations), Oncology (149 citations), Surgery (240 citations) and Molecular Biology (361 citations). Marie‐Lisa Eich has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Sooryanarayana Varambally, James E. Ferguson, Mohammad Athar, George J. Netto, Maria Del Carmen Rodriguez Peña, Diana Taheri, Alcides Chaux, Aline C. Tregnago, Jennifer Gordetsky and Trinity J. Bivalacqua. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Modern Pathology, Histopathology, Human Pathology and Cancers.
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.