Michael Calderon
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Clinical Biochemistry top 10%
Papers in
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- Mitochondrial Function and Pathology 4
- DNA Repair Mechanisms 2
- RNA modifications and cancer 2
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- Immune Cell Function and Interaction 2
- Co-authors
- Simon C. Watkins (17 shared papers)Greg M. Delgoffe (1 shared paper)Ashley V. Menk (1 shared paper)McLane J. Watson (1 shared paper)Dayana B. Rivadeneira (1 shared paper)Nicole E. Scharping (1 shared paper)Claudette M. St. Croix (9 shared papers)Chenao Qian (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Nature Communications (2 papers)eLife (2 papers)Autophagy (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Michael Calderon
29 papers receiving 918 citations
Peers
Comparison fields: 5 of 83
- Immunology 225
- Clinical Biochemistry 58
- Oncology 220
- Neurology 65
- Cancer Research 113
Countries citing papers authored by Michael Calderon
This map shows the geographic impact of Michael Calderon'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 Calderon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Calderon more than expected).
Fields of papers citing papers by Michael Calderon
This network shows the impact of papers produced by Michael Calderon. 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 Calderon. The network helps show where Michael Calderon may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Calderon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 209 | |
| 2 | 2019 | 95 | |
| 3 | 2019 | 86 | |
| 4 | 2017 | 83 | |
| 5 | 2021 | 60 | |
| 6 | 2013 | 57 | |
| 7 | 2022 | 51 | |
| 8 | 2018 | 49 | |
| 9 | 2022 | 30 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2021 | 9 |
About Michael Calderon
Michael Calderon is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 923 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (225 citations), Clinical Biochemistry (58 citations), Oncology (220 citations), Neurology (65 citations) and Cancer Research (113 citations). Michael Calderon has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Simon C. Watkins, Greg M. Delgoffe, Ashley V. Menk, McLane J. Watson, Dayana B. Rivadeneira, Nicole E. Scharping, Claudette M. St. Croix, Chenao Qian, Tatiana N. Moiseeva and Norie Sugitani. Their work appears in journals such as Journal of Neuroscience, Nature Communications, eLife, Autophagy and Cell Death Discovery.
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.