Daniel Greenwald
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 6
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Kazuki N. Sugahara (1 shared paper)Venkata Ramana Kotamraju (1 shared paper)Lilach Agemy (1 shared paper)Tambet Teesalu (1 shared paper)Erkki Ruoslahti (1 shared paper)Priya Karmali (1 shared paper)Kenneth Sands (1 shared paper)Stanley Zaslau (1 shared paper)
- Journals
- Blood (4 papers)Journal of Clinical Oncology (3 papers)British Journal of Haematology (1 paper)The Journal of Immunology (1 paper)Science (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Greenwald
19 papers receiving 1.2k citations
Daniel Greenwald's Hit Papers
Peers
Comparison fields: 5 of 92
- Biomaterials 381
- Genetics 156
- Immunology and Allergy 61
- Oncology 269
- Molecular Biology 647
Countries citing papers authored by Daniel Greenwald
This map shows the geographic impact of Daniel Greenwald'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 Greenwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Greenwald more than expected).
Fields of papers citing papers by Daniel Greenwald
This network shows the impact of papers produced by Daniel Greenwald. 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 Greenwald. The network helps show where Daniel Greenwald may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Greenwald, 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 | Coadministration of a Tumor-Penetrating Peptide Enhances the Efficacy of Cancer Drugs Hit paper breakdown → | 2010 | 876 |
| 2 | 2016 | 114 | |
| 3 | 2015 | 50 | |
| 4 | 2016 | 44 | |
| 5 | 2000 | 28 | |
| 6 | 1998 | 28 | |
| 7 | 2014 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2014 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2016 | 2 | |
| 18 | Diagnosis and management of acute promyelocytic leukemia in an active duty Air Force space operator | 2014 | 1 |
| 19 | 2016 | 1 |
About Daniel Greenwald
Daniel Greenwald is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Prostate Cancer Treatment and Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Biomaterials (381 citations), Genetics (156 citations), Immunology and Allergy (61 citations), Oncology (269 citations) and Molecular Biology (647 citations). Daniel Greenwald has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kazuki N. Sugahara, Venkata Ramana Kotamraju, Lilach Agemy, Tambet Teesalu, Erkki Ruoslahti, Priya Karmali, Kenneth Sands, Stanley Zaslau, Robert P.S. Jansen and Harvey A. Fishman. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, The Journal of Immunology and Science.
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.