Daniel Michaud

1.2k total citations
11 papers, 527 citations indexed

About

Daniel Michaud is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Michaud has authored 11 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Immunology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Michaud's work include Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (3 papers). Daniel Michaud is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (3 papers). Daniel Michaud collaborates with scholars based in United States and China. Daniel Michaud's co-authors include Yuliya Pylayeva‐Gupta, Bhalchandra Mirlekar, Nancy P. Kren, Benjamin G. Vincent, Christof C. Smith, Peishun Shou, Sarah Ahn, Barbara Savoldo, Yu‐Hui Chen and Hongwei Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Cancer Research.

In The Last Decade

Daniel Michaud

11 papers receiving 524 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Michaud United States 7 384 313 117 85 57 11 527
Edison Y. Chiu United States 6 475 1.2× 459 1.5× 136 1.2× 48 0.6× 50 0.9× 8 641
Guoxiu Du China 6 397 1.0× 233 0.7× 131 1.1× 84 1.0× 72 1.3× 6 516
Jiage Ding China 11 300 0.8× 227 0.7× 128 1.1× 60 0.7× 44 0.8× 18 414
Mengmeng Lü China 11 328 0.9× 207 0.7× 115 1.0× 87 1.0× 53 0.9× 15 447
Sascha Haubner Germany 9 393 1.0× 263 0.8× 207 1.8× 50 0.6× 97 1.7× 16 614
Alexander Biederstädt Germany 5 375 1.0× 402 1.3× 155 1.3× 81 1.0× 45 0.8× 9 604
Yonggui Tian China 7 280 0.7× 167 0.5× 126 1.1× 70 0.8× 64 1.1× 8 377
Liora M. Schultz United States 10 347 0.9× 202 0.6× 132 1.1× 73 0.9× 77 1.4× 41 455
Sanaz Taromi Germany 9 305 0.8× 139 0.4× 156 1.3× 77 0.9× 62 1.1× 13 422

Countries citing papers authored by Daniel Michaud

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Michaud

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Michaud. A scholar is included among the top collaborators of Daniel Michaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Michaud. Daniel Michaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wanderley, Carlos W., Daniel Michaud, Phillip M. Cowley, et al.. (2024). Abstract 7120: Investigating PARP1 selective inhibitor DSB1559 efficacy in BRCA1-associated triple negative breast cancer. Cancer Research. 84(6_Supplement). 7120–7120. 1 indexed citations
2.
Wanderley, Carlos W., Daniel Michaud, Kiran Kurmi, et al.. (2023). 1111 Targeting lipid metabolism to improve PARP inhibitor response in BRCA-associated TNBC. SHILAP Revista de lepidopterología. A1223–A1223. 1 indexed citations
3.
Michaud, Daniel & Jennifer L. Guerriero. (2023). Myeloid Cells Pave the Metastatic Road in Breast Cancer. Cancer Research. 84(2). 181–183. 3 indexed citations
4.
Michaud, Daniel, et al.. (2022). B Cell Receptor Signaling and Protein Kinase D2 Support Regulatory B Cell Function in Pancreatic Cancer. Frontiers in Immunology. 12. 745873–745873. 17 indexed citations
5.
Mirlekar, Bhalchandra, Daniel Michaud, & Yuliya Pylayeva‐Gupta. (2021). IL-35 Detection in B Cells at the mRNA and Protein Level. Methods in molecular biology. 125–147. 2 indexed citations
6.
Mirlekar, Bhalchandra, Daniel Michaud, Samuel Lee, et al.. (2020). B cell–Derived IL35 Drives STAT3-Dependent CD8+ T-cell Exclusion in Pancreatic Cancer. Cancer Immunology Research. 8(3). 292–308. 92 indexed citations
7.
Ma, Xingcong, Peishun Shou, Christof C. Smith, et al.. (2020). Interleukin-23 engineering improves CAR T cell function in solid tumors. Nature Biotechnology. 38(4). 448–459. 197 indexed citations
8.
Kren, Nancy P., et al.. (2020). Rab27a plays a dual role in metastatic propensity of pancreatic cancer. Scientific Reports. 10(1). 7390–7390. 15 indexed citations
9.
Michaud, Daniel, et al.. (2020). Regulatory B cells in cancer. Immunological Reviews. 299(1). 74–92. 138 indexed citations
10.
Michaud, Daniel, Bhalchandra Mirlekar, Steve Bischoff, et al.. (2019). Pancreatic cancer-associated inflammation drives dynamic regulation of p35 and Ebi3. Cytokine. 125. 154817–154817. 10 indexed citations
11.
Mirlekar, Bhalchandra, et al.. (2018). IL35 Hinders Endogenous Antitumor T-cell Immunity and Responsiveness to Immunotherapy in Pancreatic Cancer. Cancer Immunology Research. 6(9). 1014–1024. 51 indexed citations

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.

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