Arkadiusz Surażyński
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 10%
- Co-authors
- Jerzy PałkaJames M. PhangWojciech MiltykGregory L. BorchertEwa KarnaSławomir WołczyńskiYongmin LiuKrzysztof Bielawski
- Topics
- Peptidase Inhibition and Analysis (30 papers)Protease and Inhibitor Mechanisms (19 papers)Cell Adhesion Molecules Research (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaOncogeneInternational Journal of Molecular Sciences
- Partner nations
- PolandUnited StatesChina
In The Last Decade
Arkadiusz Surażyński
98 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 951
- Oncology 715
- Cancer Research 606
- Cellular and Molecular Neuroscience 240
- Pharmacology 168
Countries citing papers authored by Arkadiusz Surażyński
This map shows the geographic impact of Arkadiusz Surażyński'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 Arkadiusz Surażyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arkadiusz Surażyński more than expected).
Fields of papers citing papers by Arkadiusz Surażyński
This network shows the impact of papers produced by Arkadiusz Surażyński. 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 Arkadiusz Surażyński. The network helps show where Arkadiusz Surażyński may publish in the future.
Co-authorship network of co-authors of Arkadiusz Surażyński
This figure shows the co-authorship network connecting the top 25 collaborators of Arkadiusz Surażyński. A scholar is included among the top collaborators of Arkadiusz Surażyński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arkadiusz Surażyński. Arkadiusz Surażyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 30 | |
| 17 | 7 | |
| 18 | 11 | |
| 19 | 17 | |
| 20 | Amino acid composition and biological protein value of whey yeasts. | 3 |
About Arkadiusz Surażyński
Arkadiusz Surażyński is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (30 papers), Protease and Inhibitor Mechanisms (19 papers) and Cell Adhesion Molecules Research (16 papers). The work is most often cited by research in Cancer Research (606 citations), Oncology (715 citations) and Immunology and Allergy (141 citations). Arkadiusz Surażyński has collaborated with scholars based in Poland, United States and China. Frequent co-authors include Jerzy Pałka, James M. Phang, Wojciech Miltyk, Gregory L. Borchert, Ewa Karna, Sławomir Wołczyński, Yongmin Liu, Krzysztof Bielawski, Anna Bielawska and Ilona Zaręba. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and International Journal of Molecular Sciences.
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.