Antje‐Christine Walz
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth 3
- Oncology top 10%
- CAR-T cell therapy research 5
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- Biosimilars and Bioanalytical Methods 3
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- Monoclonal and Polyclonal Antibodies Research 8
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- Glycosylation and Glycoproteins Research 2
- Protein purification and stability 2
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- Pharmacogenetics and Drug Metabolism 2
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- Tendon Structure and Treatment 2
- Co-authors
- Thierry LavéGëzim LahuJohannes SchroppGilbert KochZhe LiBen‐Fillippo KrippendorffDhaval K. ShahSharad Sharma
- Journals
- Journal of Pharmacokinetics and Pharmacodynamics (3 papers)Molecular Cancer Therapeutics (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Antje‐Christine Walz
33 papers receiving 875 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 59
- Oncology 349
- Immunology 153
- Radiology, Nuclear Medicine and Imaging 166
- Molecular Biology 402
Countries citing papers authored by Antje‐Christine Walz
This map shows the geographic impact of Antje‐Christine Walz'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 Antje‐Christine Walz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antje‐Christine Walz more than expected).
Fields of papers citing papers by Antje‐Christine Walz
This network shows the impact of papers produced by Antje‐Christine Walz. 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 Antje‐Christine Walz. The network helps show where Antje‐Christine Walz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antje‐Christine Walz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 21 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 5 | |
| 12 | 2016 | 10 | |
| 13 | 2016 | 48 | |
| 14 | 2015 | 128 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 50 | |
| 17 | 2014 | 2 | |
| 18 | 2011 | 7 | |
| 19 | 2009 | 89 | |
| 20 | Bovine melanoma growth stimulatory activity: a new monocyte-macrophage-derived cytokine of the IL-8 family. Partial structure, function, and expression in acute pulmonary inflammation. | 1995 | 6 |
About Antje‐Christine Walz
Antje‐Christine Walz is a scholar working on Modeling and Simulation, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 892 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (5 papers), Mathematical Biology Tumor Growth (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Glycosylation and Glycoproteins Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Tendon Structure and Treatment (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Modeling and Simulation (59 citations), Oncology (349 citations) and Immunology (153 citations). Antje‐Christine Walz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Thierry Lavé, Gëzim Lahu, Johannes Schropp, Gilbert Koch, Zhe Li, Ben‐Fillippo Krippendorff, Dhaval K. Shah, Sharad Sharma, DR Mould and Boy Frame. Their work appears in journals such as Journal of Pharmacokinetics and Pharmacodynamics, Molecular Cancer Therapeutics, Clinical Cancer Research, Oncotarget and The AAPS Journal.
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.