Ewa Surmiak
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
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- Click Chemistry and Applications
Papers in
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- Chemical Synthesis and Analysis 4
- Ubiquitin and proteasome pathways 2
- Oncology 15
- Cancer Immunotherapy and Biomarkers 7
- Cancer-related Molecular Pathways 6
- CAR-T cell therapy research 5
- Peptidase Inhibition and Analysis 3
- Co-authors
- Tad A. Holak (21 shared papers)Łukasz Skalniak (12 shared papers)Alexander Dömlingꝉ (12 shared papers)Bogdan Musielak (12 shared papers)Jacek Plewka (8 shared papers)Katarzyna Magiera‐Mularz (8 shared papers)Justyna Kocik-Krol (6 shared papers)Radosław Kitel (7 shared papers)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Journal of Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Molecules (2 papers)ACS Chemical Biology (2 papers)
- Partner nations
- PolandNetherlandsGermany
In The Last Decade
Ewa Surmiak
21 papers receiving 387 citations
Peers
Comparison fields: 5 of 51
- Oncology 187
- Organic Chemistry 126
- Molecular Biology 195
- Computational Theory and Mathematics 33
- Biotechnology 15
Countries citing papers authored by Ewa Surmiak
This map shows the geographic impact of Ewa Surmiak'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 Ewa Surmiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Surmiak more than expected).
Fields of papers citing papers by Ewa Surmiak
This network shows the impact of papers produced by Ewa Surmiak. 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 Ewa Surmiak. The network helps show where Ewa Surmiak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa Surmiak, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 65 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 34 | |
| 5 | 2016 | 31 | |
| 6 | 2019 | 29 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 2 |
About Ewa Surmiak
Ewa Surmiak is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Virology, having authored 23 papers that have together received 391 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer-related Molecular Pathways (6 papers), Click Chemistry and Applications (5 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chemical Synthesis and Analysis (4 papers), Peptidase Inhibition and Analysis (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Oncology (187 citations), Organic Chemistry (126 citations), Molecular Biology (195 citations), Computational Theory and Mathematics (33 citations) and Biotechnology (15 citations). Ewa Surmiak has collaborated with scholars based in Poland, Netherlands and Germany. Frequent co-authors include Tad A. Holak, Łukasz Skalniak, Alexander Dömlingꝉ, Bogdan Musielak, Jacek Plewka, Katarzyna Magiera‐Mularz, Justyna Kocik-Krol, Radosław Kitel, Constantinos G. Neochoritis and Aleksandra Twarda‐Clapa. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Molecules and ACS Chemical Biology.
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.