Tom O. Daniel
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 11
- Multiple Myeloma Research and Treatments 8
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- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 5
- Co-authors
- Rajesh Kumar Chopra (13 shared papers)Anita Krithivas Gandhi (6 shared papers)Antonia Lopez‐Girona (7 shared papers)Derek Mendy (7 shared papers)Svetlana Gaidarova (5 shared papers)Peter H Schafer (6 shared papers)Jian Kang (3 shared papers)Pilgrim J. Jackson (3 shared papers)
- Journals
- Blood (8 papers)British Journal of Haematology (3 papers)Biochemical and Biophysical Research Communications (1 paper)Blood Cancer Journal (1 paper)Leukemia (1 paper)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Tom O. Daniel
16 papers receiving 1.4k citations
Tom O. Daniel's Hit Papers
Peers
Comparison fields: 5 of 70
- Hematology 782
- Genetics 152
- Oncology 358
- Molecular Biology 976
- Pathology and Forensic Medicine 140
Countries citing papers authored by Tom O. Daniel
This map shows the geographic impact of Tom O. Daniel'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 Tom O. Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom O. Daniel more than expected).
Fields of papers citing papers by Tom O. Daniel
This network shows the impact of papers produced by Tom O. Daniel. 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 Tom O. Daniel. The network helps show where Tom O. Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom O. Daniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cereblon is a direct protein target for immunomodulatory and antiproliferative activities of lenalidomide and pomalidomide Hit paper breakdown → | 2012 | 681 |
| 2 | 2015 | 190 | |
| 3 | 2011 | 154 | |
| 4 | 2000 | 117 | |
| 5 | 2014 | 108 | |
| 6 | 2013 | 87 | |
| 7 | 2004 | 33 | |
| 8 | 2010 | 10 | |
| 9 | 2011 | 8 | |
| 10 | 2012 | 7 | |
| 11 | 2015 | 5 | |
| 12 | 2011 | 4 | |
| 13 | 2012 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2012 | 1 |
About Tom O. Daniel
Tom O. Daniel is a scholar working on Hematology, Molecular Biology, Genetics, Cell Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Multiple Myeloma Research and Treatments (8 papers), Ubiquitin and proteasome pathways (5 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (782 citations), Genetics (152 citations), Oncology (358 citations), Molecular Biology (976 citations) and Pathology and Forensic Medicine (140 citations). Tom O. Daniel has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Rajesh Kumar Chopra, Anita Krithivas Gandhi, Antonia Lopez‐Girona, Derek Mendy, Svetlana Gaidarova, Peter H Schafer, Jian Kang, Pilgrim J. Jackson, Brian E. Cathers and Gilles Carmel. Their work appears in journals such as Blood, British Journal of Haematology, Biochemical and Biophysical Research Communications, Blood Cancer Journal 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.