Caleb A. Class
Impact in
- Analytical Chemistry top 5%
- Petroleum Processing and Analysis
-
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Gene expression and cancer classification 3
- Hematology 13
- Acute Myeloid Leukemia Research 13
- Co-authors
- William H. Green (7 shared papers)Michaël T. Timko (4 shared papers)Pushkaraj R. Patwardhan (2 shared papers)Jefferson W. Tester (1 shared paper)Robin Bonomi (1 shared paper)Héctor H. Hernández (1 shared paper)Kim‐Anh Do (8 shared papers)Kathleen Hall (2 shared papers)
- Journals
- Blood (5 papers)Physical Chemistry Chemical Physics (4 papers)Energy & Fuels (3 papers)iScience (2 papers)Leukemia (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Caleb A. Class
35 papers receiving 569 citations
Peers
Comparison fields: 5 of 100
- Analytical Chemistry 85
- Hematology 61
- Catalysis 37
- Biomedical Engineering 170
- Psychiatry and Mental health 55
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 93 | |
| 2 | 2014 | 59 | |
| 3 | 2021 | 53 | |
| 4 | 2014 | 38 | |
| 5 | 2018 | 32 | |
| 6 | 2019 | 27 | |
| 7 | 1996 | 25 | |
| 8 | 2016 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 1997 | 22 | |
| 11 | 2019 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 1997 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 8 |
About Caleb A. Class
Caleb A. Class is a scholar working on Molecular Biology, Hematology, Immunology, Mechanical Engineering and Biomedical Engineering, having authored 35 papers that have together received 579 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Epigenetics and DNA Methylation (5 papers), Catalysis and Hydrodesulfurization Studies (5 papers), Dementia and Cognitive Impairment Research (4 papers), Subcritical and Supercritical Water Processes (4 papers), Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Analytical Chemistry (85 citations), Hematology (61 citations), Catalysis (37 citations), Biomedical Engineering (170 citations) and Psychiatry and Mental health (55 citations). Caleb A. Class has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include William H. Green, Michaël T. Timko, Pushkaraj R. Patwardhan, Jefferson W. Tester, Robin Bonomi, Héctor H. Hernández, Kim‐Anh Do, Kathleen Hall, Martin R. Farlow and Frederick W. Unverzagt. Their work appears in journals such as Blood, Physical Chemistry Chemical Physics, Energy & Fuels, iScience and Leukemia.
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.