Marcin D. Tomala
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
- Cancer-related Molecular Pathways 2
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- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Tad A. Holak (6 shared papers)Alexander Dömlingꝉ (3 shared papers)Katarzyna Guzik (3 shared papers)Grzegorz Dubin (4 shared papers)Łukasz Skalniak (3 shared papers)Katarzyna Magiera‐Mularz (3 shared papers)Bogdan Musielak (3 shared papers)Krzysztof M. Żak (2 shared papers)
- Journals
- Molecules (1 paper)ACS Chemical Biology (1 paper)European Journal of Medicinal Chemistry (1 paper)Bioorganic Chemistry (1 paper)Cell chemical biology (1 paper)
- Partner nations
- PolandNetherlandsGermany
In The Last Decade
Marcin D. Tomala
6 papers receiving 453 citations
Peers
Comparison fields: 5 of 56
- Oncology 301
- Immunology 124
- Biological Psychiatry 6
- Molecular Biology 174
- Computational Theory and Mathematics 38
Countries citing papers authored by Marcin D. Tomala
This map shows the geographic impact of Marcin D. Tomala'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 Marcin D. Tomala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin D. Tomala more than expected).
Fields of papers citing papers by Marcin D. Tomala
This network shows the impact of papers produced by Marcin D. Tomala. 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 Marcin D. Tomala. The network helps show where Marcin D. Tomala may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin D. Tomala, 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 | 2017 | 226 | |
| 2 | 2019 | 119 | |
| 3 | 2017 | 50 | |
| 4 | 2016 | 31 | |
| 5 | 2018 | 28 | |
| 6 | 2018 | 4 |
About Marcin D. Tomala
Marcin D. Tomala is a scholar working on Oncology, Molecular Biology, Immunology, Organic Chemistry and Cell Biology, having authored 6 papers that have together received 458 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Ubiquitin and proteasome pathways (2 papers), CAR-T cell therapy research (2 papers), Cancer-related Molecular Pathways (2 papers), Proteoglycans and glycosaminoglycans research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Oncology (301 citations), Immunology (124 citations), Biological Psychiatry (6 citations), Molecular Biology (174 citations) and Computational Theory and Mathematics (38 citations). Marcin D. Tomala has collaborated with scholars based in Poland, Netherlands and Germany. Frequent co-authors include Tad A. Holak, Alexander Dömlingꝉ, Katarzyna Guzik, Grzegorz Dubin, Łukasz Skalniak, Katarzyna Magiera‐Mularz, Bogdan Musielak, Krzysztof M. Żak, P. Grudnik and Krzysztof Pyrć. Their work appears in journals such as Molecules, ACS Chemical Biology, European Journal of Medicinal Chemistry, Bioorganic Chemistry and Cell 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.