Daniel Michaud
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 3
- PARP inhibition in cancer therapy 2
- Pancreatic and Hepatic Oncology Research 2
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Yuliya Pylayeva‐Gupta (8 shared papers)Bhalchandra Mirlekar (6 shared papers)Nancy P. Kren (3 shared papers)Benjamin G. Vincent (2 shared papers)Barbara Savoldo (1 shared paper)Yang Xu (1 shared paper)Xingcong Ma (1 shared paper)Chuang Sun (1 shared paper)
- Journals
- Cancer Immunology Research (2 papers)Cancer Research (2 papers)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)Cytokine (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel Michaud
11 papers receiving 524 citations
Peers
Comparison fields: 5 of 48
- Immunology 313
- Oncology 384
- Cancer Research 47
- Genetics 57
- Biomedical Engineering 85
Countries citing papers authored by Daniel Michaud
This map shows the geographic impact of Daniel Michaud'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 Daniel Michaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Michaud more than expected).
Fields of papers citing papers by Daniel Michaud
This network shows the impact of papers produced by Daniel Michaud. 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 Daniel Michaud. The network helps show where Daniel Michaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Michaud, 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 | 2020 | 197 | |
| 2 | 2020 | 138 | |
| 3 | 2020 | 92 | |
| 4 | 2018 | 51 | |
| 5 | 2022 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 10 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 |
About Daniel Michaud
Daniel Michaud is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Cell Biology, having authored 11 papers that have together received 527 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Ferroptosis and cancer prognosis (2 papers), PARP inhibition in cancer therapy (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (313 citations), Oncology (384 citations), Cancer Research (47 citations), Genetics (57 citations) and Biomedical Engineering (85 citations). Daniel Michaud has collaborated with scholars based in United States and China. Frequent co-authors include Yuliya Pylayeva‐Gupta, Bhalchandra Mirlekar, Nancy P. Kren, Benjamin G. Vincent, Barbara Savoldo, Yang Xu, Xingcong Ma, Chuang Sun, Peishun Shou and Yu‐Hui Chen. Their work appears in journals such as Cancer Immunology Research, Cancer Research, Scientific Reports, Frontiers in Immunology and Cytokine.
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.