Max Backman
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 18
- Cancer Immunotherapy and Biomarkers 14
- Lung Cancer Research Studies 4
- Cancer Cells and Metastasis 2
- Pancreatic and Hepatic Oncology Research 2
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Patrick Micke (17 shared papers)Dijana Djureinovic (3 shared papers)Artur Mezheyeuski (9 shared papers)Hans Brunnström (11 shared papers)Tobias Sjöblom (2 shared papers)Christian Holst Bergsland (1 shared paper)Miklós Gulyás (4 shared papers)Jarle Bruun (1 shared paper)
In The Last Decade
Max Backman
20 papers receiving 748 citations
Peers
Comparison fields: 5 of 53
- Oncology 451
- Cancer Research 56
- Pulmonary and Respiratory Medicine 104
- Immunology 63
- Artificial Intelligence 76
Countries citing papers authored by Max Backman
This map shows the geographic impact of Max Backman'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 Max Backman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Backman more than expected).
Fields of papers citing papers by Max Backman
This network shows the impact of papers produced by Max Backman. 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 Max Backman. The network helps show where Max Backman may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Backman, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2017 | 157 | |
| 3 | 2023 | 53 | |
| 4 | 2022 | 52 | |
| 5 | 2021 | 48 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 36 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 27 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Max Backman
Max Backman is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cell Biology, having authored 21 papers that have together received 760 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (14 papers), Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers), AI in cancer detection (2 papers), Cancer Cells and Metastasis (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Oncology (451 citations), Cancer Research (56 citations), Pulmonary and Respiratory Medicine (104 citations), Immunology (63 citations) and Artificial Intelligence (76 citations). Max Backman has collaborated with scholars based in Sweden, Norway and Spain. Frequent co-authors include Patrick Micke, Dijana Djureinovic, Artur Mezheyeuski, Hans Brunnström, Tobias Sjöblom, Christian Holst Bergsland, Miklós Gulyás, Jarle Bruun, Sofia Westbom-Fremer and Carina Strell. Their work appears in journals such as The Journal of Pathology, Lung Cancer, EBioMedicine, European Journal of Cancer and Cell Communication and Signaling.
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.