Michael Calderon
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Clinical Biochemistry top 10%
Papers in
-
- Mitochondrial Function and Pathology 3
- DNA Repair Mechanisms 2
- Co-authors
- Simon C. Watkins (18 shared papers)McLane J. Watson (1 shared paper)Ashley V. Menk (1 shared paper)Greg M. Delgoffe (1 shared paper)Dayana B. Rivadeneira (1 shared paper)Nicole E. Scharping (1 shared paper)Claudette M. St. Croix (9 shared papers)Yandong Yin (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)eLife (2 papers)Nature Communications (2 papers)Cancer Immunology Research (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United StatesChinaPuerto Rico
In The Last Decade
Michael Calderon
29 papers receiving 969 citations
Peers
Comparison fields: 5 of 80
- Immunology 217
- Clinical Biochemistry 61
- Oncology 211
- Neurology 65
- Cancer Research 104
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2019 | 99 | |
| 3 | 2019 | 92 | |
| 4 | 2017 | 86 | |
| 5 | 2013 | 64 | |
| 6 | 2021 | 61 | |
| 7 | 2022 | 57 | |
| 8 | 2018 | 50 | |
| 9 | 2022 | 33 | |
| 10 | 2020 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2021 | 11 |
About Michael Calderon
Michael Calderon is a scholar working on Molecular Biology, Immunology, Cell Biology, Cellular and Molecular Neuroscience and Oncology, having authored 30 papers that have together received 977 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), DNA Repair Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Autophagy in Disease and Therapy (2 papers), Metabolism and Genetic Disorders (2 papers), Advanced Glycation End Products research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology (217 citations), Clinical Biochemistry (61 citations), Oncology (211 citations), Neurology (65 citations) and Cancer Research (104 citations). Michael Calderon has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Simon C. Watkins, McLane J. Watson, Ashley V. Menk, Greg M. Delgoffe, Dayana B. Rivadeneira, Nicole E. Scharping, Claudette M. St. Croix, Yandong Yin, Tatiana N. Moiseeva and Christopher J. Bakkenist. Their work appears in journals such as Journal of Neuroscience, eLife, Nature Communications, Cancer Immunology Research 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.