Daniel D. Waller
Impact in
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- Multiple Myeloma Research and Treatments
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Protein Degradation and Inhibitors 2
- Biochemical and Molecular Research 2
- Oncology 7
- Bone health and treatments 2
- Chemokine receptors and signaling 2
- Co-authors
- Youla S. Tsantrizos (5 shared papers)Jaeok Park (3 shared papers)Michaël Sébag (9 shared papers)David Y. Thomas (3 shared papers)Malcolm Whiteway (2 shared papers)C. Patrick Lusk (1 shared paper)Jing-Yuan Chooi (1 shared paper)Wee Joo Chng (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Blood (2 papers)Critical Reviews in Biochemistry and Molecular Biology (1 paper)Scientific Reports (1 paper)Traffic (1 paper)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Daniel D. Waller
13 papers receiving 277 citations
Peers
Comparison fields: 5 of 55
- Hematology 39
- Cell Biology 53
- Molecular Biology 209
- Cancer Research 41
- Oncology 63
Countries citing papers authored by Daniel D. Waller
This map shows the geographic impact of Daniel D. Waller'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 Daniel D. Waller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Waller more than expected).
Fields of papers citing papers by Daniel D. Waller
This network shows the impact of papers produced by Daniel D. Waller. 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 Daniel D. Waller. The network helps show where Daniel D. Waller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Waller, 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 | 2019 | 65 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 38 | |
| 4 | 2007 | 34 | |
| 5 | 2008 | 26 | |
| 6 | 2021 | 20 | |
| 7 | 2016 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2020 | 0 |
About Daniel D. Waller
Daniel D. Waller is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Hematology and Cell Biology, having authored 14 papers that have together received 280 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), HIV/AIDS drug development and treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Bone health and treatments (2 papers), Biochemical and Molecular Research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (39 citations), Cell Biology (53 citations), Molecular Biology (209 citations), Cancer Research (41 citations) and Oncology (63 citations). Daniel D. Waller has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Youla S. Tsantrizos, Jaeok Park, Michaël Sébag, David Y. Thomas, Malcolm Whiteway, C. Patrick Lusk, Jing-Yuan Chooi, Wee Joo Chng, Cunle Wu and Taras Makhnevych. Their work appears in journals such as Journal of Medicinal Chemistry, Blood, Critical Reviews in Biochemistry and Molecular Biology, Scientific Reports and Traffic.
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.