Daniel E. Michaud
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
- Immunology 10
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Immune cells in cancer 2
- Phagocytosis and Immune Regulation 1
- Oncology 9
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Yuliya Pylayeva‐Gupta (8 shared papers)Bhalchandra Mirlekar (6 shared papers)Nancy Porterfield Kren (3 shared papers)Benjamin Garrett Vincent (2 shared papers)Xingcong Ma (1 shared paper)Chuang Sun (1 shared paper)Gianpietro Dotti (1 shared paper)Peishun Shou (1 shared paper)
- Journals
- Cancer Immunology Research (2 papers)Cancer Cell (1 paper)Nature Biotechnology (1 paper)Cancer Research (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Daniel E. Michaud
10 papers receiving 966 citations
Peers
Comparison fields: 5 of 49
- Oncology 703
- Immunology 442
- Cancer Research 58
- Genetics 102
- Biomedical Engineering 149
Countries citing papers authored by Daniel E. Michaud
This map shows the geographic impact of Daniel E. 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 E. 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 E. Michaud more than expected).
Fields of papers citing papers by Daniel E. Michaud
This network shows the impact of papers produced by Daniel E. 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 E. Michaud. The network helps show where Daniel E. Michaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. 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 | 2019 | 380 | |
| 2 | 2020 | 224 | |
| 3 | 2020 | 152 | |
| 4 | 2020 | 100 | |
| 5 | 2018 | 57 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 12 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2026 | 0 | |
| 12 | 2026 | 0 |
About Daniel E. Michaud
Daniel E. Michaud is a scholar working on Immunology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 12 papers that have together received 973 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Immune cells in cancer (2 papers) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Oncology (703 citations), Immunology (442 citations), Cancer Research (58 citations), Genetics (102 citations) and Biomedical Engineering (149 citations). Daniel E. Michaud has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Yuliya Pylayeva‐Gupta, Bhalchandra Mirlekar, Nancy Porterfield Kren, Benjamin Garrett Vincent, Xingcong Ma, Chuang Sun, Gianpietro Dotti, Peishun Shou, Christof C. Smith and Sarah Ahn. Their work appears in journals such as Cancer Immunology Research, Cancer Cell, Nature Biotechnology, Cancer Research and Clinical Cancer Research.
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.