Michael C. Mazzola
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Acute Myeloid Leukemia Research 2
- Hematopoietic Stem Cell Transplantation 2
-
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Cynthia A. Reinhart‐King (1 shared paper)François Bordeleau (1 shared paper)Matthew R. Zanotelli (1 shared paper)Yashira L. Negrón Abril (1 shared paper)Nuria Mencia-Trinchant (1 shared paper)Lawrence A. Bonassar (1 shared paper)Jonathan Talbot Butcher (1 shared paper)Sahana Somasegar (1 shared paper)
- Journals
- Blood (2 papers)Current Protocols in Cytometry (1 paper)Cell stem cell (1 paper)Blood Advances (1 paper)Cytometry Part A (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Michael C. Mazzola
12 papers receiving 850 citations
Michael C. Mazzola's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology 244
- Cell Biology 168
- Immunology and Allergy 58
- Oncology 215
- Cancer Research 77
Countries citing papers authored by Michael C. Mazzola
This map shows the geographic impact of Michael C. Mazzola'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 Michael C. Mazzola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Mazzola more than expected).
Fields of papers citing papers by Michael C. Mazzola
This network shows the impact of papers produced by Michael C. Mazzola. 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 Michael C. Mazzola. The network helps show where Michael C. Mazzola may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Mazzola, 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 | 2016 | 348 | |
| 2 | A neutrophil response linked to tumor control in immunotherapy Hit paper breakdown → | 2023 | 308 |
| 3 | 2018 | 91 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 27 | |
| 6 | 2015 | 11 | |
| 7 | 2018 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2025 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 1 |
About Michael C. Mazzola
Michael C. Mazzola is a scholar working on Hematology, Molecular Biology, Immunology, Cancer Research and Immunology and Allergy, having authored 12 papers that have together received 860 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), Acute Myeloid Leukemia Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), CRISPR and Genetic Engineering (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Immunology (244 citations), Cell Biology (168 citations), Immunology and Allergy (58 citations), Oncology (215 citations) and Cancer Research (77 citations). Michael C. Mazzola has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Cynthia A. Reinhart‐King, François Bordeleau, Matthew R. Zanotelli, Yashira L. Negrón Abril, Nuria Mencia-Trinchant, Lawrence A. Bonassar, Jonathan Talbot Butcher, Sahana Somasegar, Duane C. Hassane and Robert S. Weiss. Their work appears in journals such as Blood, Current Protocols in Cytometry, Cell stem cell, Blood Advances and Cytometry Part A.
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.