Bo Marelli
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
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- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 2
- T-cell and B-cell Immunology 1
- Co-authors
- Yan Lan (8 shared papers)Kin-Ming Lo (7 shared papers)Guozhong Qin (6 shared papers)Jin Qi (5 shared papers)Huakui Yu (5 shared papers)Chunxiao Xu (4 shared papers)Helen Sabzevari (2 shared papers)Kenneth W. Hance (2 shared papers)
- Journals
- Cancer Research (2 papers)Clinical Cancer Research (1 paper)Protein Engineering Design and Selection (1 paper)The Journal of Immunology (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Bo Marelli
8 papers receiving 565 citations
Bo Marelli's Hit Papers
Peers
Comparison fields: 5 of 48
- Oncology 374
- Immunology 261
- Cancer Research 43
- Biotechnology 24
- Molecular Biology 159
Countries citing papers authored by Bo Marelli
This map shows the geographic impact of Bo Marelli'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 Bo Marelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Marelli more than expected).
Fields of papers citing papers by Bo Marelli
This network shows the impact of papers produced by Bo Marelli. 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 Bo Marelli. The network helps show where Bo Marelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Marelli, 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 | Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-β Hit paper breakdown → | 2018 | 417 |
| 2 | 2017 | 60 | |
| 3 | 2014 | 49 | |
| 4 | 2005 | 31 | |
| 5 | 2021 | 12 | |
| 6 | 2017 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2024 | 0 |
About Bo Marelli
Bo Marelli is a scholar working on Oncology, Immunology, Biotechnology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 576 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Research and Treatments (3 papers), Immune Cell Function and Interaction (2 papers), Blood properties and coagulation (1 paper), Ubiquitin and proteasome pathways (1 paper), Adenosine and Purinergic Signaling (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Oncology (374 citations), Immunology (261 citations), Cancer Research (43 citations), Biotechnology (24 citations) and Molecular Biology (159 citations). Bo Marelli has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Yan Lan, Kin-Ming Lo, Guozhong Qin, Jin Qi, Huakui Yu, Chunxiao Xu, Helen Sabzevari, Kenneth W. Hance, Laszlo Radvanyi and Dong Zhang. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Protein Engineering Design and Selection, The Journal of Immunology and Journal of Clinical Oncology.
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.