Katja Evert
Impact in
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- Plasma Applications and Diagnostics
- Hepatology top 10%
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
- Receptor Mechanisms and Signaling 3
- Surgery 15
- Co-authors
- Matthias Evert (28 shared papers)Diego F. Calvisi (16 shared papers)Frank Dombrowski (10 shared papers)Kathrin Renner (2 shared papers)Peter J. Siska (1 shared paper)Katrin Singer (1 shared paper)Marina Kreutz (1 shared paper)Wolfram von Bernstorff (2 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)Hepatology (5 papers)Scientific Reports (3 papers)Cancers (3 papers)European Journal of Heart Failure (3 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Katja Evert
75 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 255
- Hepatology 76
- Cancer Research 129
- Oncology 147
- Molecular Biology 370
Countries citing papers authored by Katja Evert
This map shows the geographic impact of Katja Evert'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 Katja Evert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Evert more than expected).
Fields of papers citing papers by Katja Evert
This network shows the impact of papers produced by Katja Evert. 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 Katja Evert. The network helps show where Katja Evert may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Evert, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 214 | |
| 2 | 2020 | 93 | |
| 3 | 2019 | 84 | |
| 4 | 2015 | 54 | |
| 5 | 2015 | 53 | |
| 6 | 2012 | 51 | |
| 7 | 2015 | 43 | |
| 8 | 2013 | 43 | |
| 9 | 2019 | 41 | |
| 10 | 2021 | 35 | |
| 11 | 2019 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2012 | 25 | |
| 16 | 2019 | 23 | |
| 17 | 2018 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2020 | 20 |
About Katja Evert
Katja Evert is a scholar working on Molecular Biology, Surgery, Epidemiology, Oncology and Neurology, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Cancer Mechanisms and Therapy (4 papers), Liver physiology and pathology (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (255 citations), Hepatology (76 citations), Cancer Research (129 citations), Oncology (147 citations) and Molecular Biology (370 citations). Katja Evert has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Matthias Evert, Diego F. Calvisi, Frank Dombrowski, Kathrin Renner, Peter J. Siska, Katrin Singer, Marina Kreutz, Wolfram von Bernstorff, Xin Chen and Silvia Ribback. Their work appears in journals such as International Journal of Molecular Sciences, Hepatology, Scientific Reports, Cancers and European Journal of Heart Failure.
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.