Caleb Ho
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 5%
Papers in
-
- Lymphoma Diagnosis and Treatment 16
- Hematology 15
- Acute Myeloid Leukemia Research 8
- Multiple Myeloma Research and Treatments 6
- Co-authors
- Stewart Shuman (4 shared papers)Linda F. van Dyk (1 shared paper)Thomas Tuschl (1 shared paper)Friedrich A. Grässer (1 shared paper)Brett D. Lindenbach (1 shared paper)Mariana Lagos‐Quintana (1 shared paper)Mihaela Zavolan (1 shared paper)James J. Russo (1 shared paper)
- Journals
- Blood (5 papers)Blood Advances (2 papers)American Journal of Clinical Pathology (2 papers)Journal of Molecular Diagnostics (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Caleb Ho
31 papers receiving 1.6k citations
Caleb Ho's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 564
- Hematology 259
- Oncology 411
- Molecular Biology 874
- Virology 59
Countries citing papers authored by Caleb Ho
This map shows the geographic impact of Caleb Ho'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 Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Ho more than expected).
Fields of papers citing papers by Caleb Ho
This network shows the impact of papers produced by Caleb Ho. 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 Ho. The network helps show where Caleb Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Caleb Ho, 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 | Identification of microRNAs of the herpesvirus family Hit paper breakdown → | 2005 | 896 |
| 2 | 2018 | 116 | |
| 3 | 2013 | 101 | |
| 4 | 1998 | 73 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 47 | |
| 7 | 2019 | 44 | |
| 8 | 2001 | 40 | |
| 9 | 1996 | 39 | |
| 10 | 1999 | 31 | |
| 11 | 2016 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 26 | |
| 14 | 2016 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 5 |
About Caleb Ho
Caleb Ho is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Oncology and Molecular Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (11 papers), Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (6 papers), Viral-associated cancers and disorders (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer Genomics and Diagnostics (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (564 citations), Hematology (259 citations), Oncology (411 citations), Molecular Biology (874 citations) and Virology (59 citations). Caleb Ho has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stewart Shuman, Linda F. van Dyk, Thomas Tuschl, Friedrich A. Grässer, Brett D. Lindenbach, Mariana Lagos‐Quintana, Mihaela Zavolan, James J. Russo, Viviana Simon and Charles M. Rice. Their work appears in journals such as Blood, Blood Advances, American Journal of Clinical Pathology, Journal of Molecular Diagnostics and Nature Methods.
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.