Caleb A. Class
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 14
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- Advanced Combustion Engine Technologies 3
- Co-authors
- William H. Green (7 shared papers)Michaël T. Timko (4 shared papers)Pushkaraj R. Patwardhan (2 shared papers)Jefferson William Tester (1 shared paper)Robin E. Bonomi (1 shared paper)Héctor H. Hernández (1 shared paper)Guillermo Garcia‐Manero (9 shared papers)Hui Yang (7 shared papers)
- Journals
- Nature Communications (4 papers)Physical Chemistry Chemical Physics (4 papers)Energy & Fuels (3 papers)OncoImmunology (2 papers)iScience (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Caleb A. Class
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Hematology 350
- Physiology 58
- Oncology 293
- Fluid Flow and Transfer Processes 61
- Cancer Research 100
Countries citing papers authored by Caleb A. Class
This map shows the geographic impact of Caleb A. Class'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 Caleb A. Class with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb A. Class more than expected).
Fields of papers citing papers by Caleb A. Class
This network shows the impact of papers produced by Caleb A. Class. 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 Caleb A. Class. The network helps show where Caleb A. Class may publish in the future.
Co-authors
The 25 scholars most cited alongside Caleb A. Class, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 392 | |
| 2 | 2021 | 122 | |
| 3 | 2020 | 106 | |
| 4 | 2013 | 98 | |
| 5 | 2014 | 64 | |
| 6 | 2021 | 59 | |
| 7 | 2022 | 59 | |
| 8 | 2020 | 56 | |
| 9 | 2021 | 54 | |
| 10 | 2023 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2018 | 34 | |
| 13 | 2022 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2016 | 29 | |
| 16 | 2021 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2015 | 24 | |
| 19 | 2020 | 21 | |
| 20 | 2018 | 20 |
About Caleb A. Class
Caleb A. Class is a scholar working on Hematology, Fluid Flow and Transfer Processes, Oncology, Molecular Biology and Biomedical Engineering, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Subcritical and Supercritical Water Processes (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Advanced Combustion Engine Technologies (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene expression and cancer classification (2 papers), Catalysis and Hydrodesulfurization Studies (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Hematology (350 citations), Physiology (58 citations), Oncology (293 citations), Fluid Flow and Transfer Processes (61 citations) and Cancer Research (100 citations). Caleb A. Class has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include William H. Green, Michaël T. Timko, Pushkaraj R. Patwardhan, Jefferson William Tester, Robin E. Bonomi, Héctor H. Hernández, Guillermo Garcia‐Manero, Hui Yang, Aäron G. Vandeputte and Yue Wei. Their work appears in journals such as Nature Communications, Physical Chemistry Chemical Physics, Energy & Fuels, OncoImmunology and iScience.
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.