Agnese Petrera
Impact in
-
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
Papers in
- Oncology 10
- Peptidase Inhibition and Analysis 5
- CAR-T cell therapy research 3
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- Immune Cell Function and Interaction 3
- Co-authors
- Stefanie M. Hauck (18 shared papers)Oliver Schilling (7 shared papers)Zon Weng Lai (4 shared papers)Barbara Thorand (10 shared papers)Anne Hilgendorff (2 shared papers)Cornelia Huth (1 shared paper)Jennifer Behler (1 shared paper)Christine von Toerne (1 shared paper)
- Journals
- Journal of Proteome Research (4 papers)Blood (3 papers)Biological Chemistry (2 papers)BMC Medicine (2 papers)Vaccine (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Agnese Petrera
47 papers receiving 979 citations
Peers
Comparison fields: 5 of 107
- Oncology 172
- Spectroscopy 101
- Infectious Diseases 107
- Immunology 119
- Cancer Research 73
Countries citing papers authored by Agnese Petrera
This map shows the geographic impact of Agnese Petrera'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 Agnese Petrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnese Petrera more than expected).
Fields of papers citing papers by Agnese Petrera
This network shows the impact of papers produced by Agnese Petrera. 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 Agnese Petrera. The network helps show where Agnese Petrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Agnese Petrera, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 163 | |
| 2 | 2016 | 62 | |
| 3 | 2022 | 60 | |
| 4 | 2023 | 49 | |
| 5 | 2015 | 48 | |
| 6 | 2022 | 43 | |
| 7 | 2014 | 42 | |
| 8 | 2014 | 41 | |
| 9 | 2022 | 36 | |
| 10 | 2011 | 33 | |
| 11 | 2021 | 29 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 27 | |
| 14 | 2009 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2016 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2012 | 23 | |
| 19 | 2014 | 20 | |
| 20 | 2016 | 16 |
About Agnese Petrera
Agnese Petrera is a scholar working on Oncology, Immunology, Cancer Research, Cell Biology and Infectious Diseases, having authored 48 papers that have together received 982 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Peptidase Inhibition and Analysis (5 papers), CAR-T cell therapy research (3 papers), Tuberculosis Research and Epidemiology (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers), COVID-19 Clinical Research Studies (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Oncology (172 citations), Spectroscopy (101 citations), Infectious Diseases (107 citations), Immunology (119 citations) and Cancer Research (73 citations). Agnese Petrera has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Stefanie M. Hauck, Oliver Schilling, Zon Weng Lai, Barbara Thorand, Anne Hilgendorff, Cornelia Huth, Jennifer Behler, Christine von Toerne, Alejandro Gomez‐Auli and Peter C Sander. Their work appears in journals such as Journal of Proteome Research, Blood, Biological Chemistry, BMC Medicine and Vaccine.
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.