Daniel DiRenzo
- Immunology top 5%
- Physiology top 5%
- Adenosine and Purinergic Signaling 18
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- TGF-β signaling in diseases 4
- Angiogenesis and VEGF in Cancer 3
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- Cancer Immunotherapy and Biomarkers 10
- Peptidase Inhibition and Analysis 4
- Pancreatic and Hepatic Oncology Research 3
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- Nanoplatforms for cancer theranostics 7
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- Click Chemistry and Applications 4
- Co-authors
- Nicholas J. LeeperThomas QuertermousClint L. MillerVivek NandaUlf HedinLars MäegdefesselAndrew J. ConnollyYoko Kojima
- Cited by
- ImmunologyPhysiologyCancer Research
- Journals
- Cancer Research (10 papers)Cancer Immunology Research (3 papers)Circulation Research (2 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Daniel DiRenzo
35 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 474
- Physiology 52
- Cancer Research 121
- Molecular Biology 478
- Oncology 170
Countries citing papers authored by Daniel DiRenzo
This map shows the geographic impact of Daniel DiRenzo'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 DiRenzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel DiRenzo more than expected).
Fields of papers citing papers by Daniel DiRenzo
This network shows the impact of papers produced by Daniel DiRenzo. 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 DiRenzo. The network helps show where Daniel DiRenzo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel DiRenzo, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 1 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 33 | |
| 12 | 2016 | 23 | |
| 13 | 2016 | 88 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 40 | |
| 17 | 2014 | 32 | |
| 18 | 2012 | 50 | |
| 19 | 2011 | 11 | |
| 20 | 2010 | 31 |
About Daniel DiRenzo
Daniel DiRenzo is a scholar working on Physiology, Oncology, Immunology, Geriatrics and Gerontology and Biotechnology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (18 papers), Cancer Immunotherapy and Biomarkers (10 papers), Nanoplatforms for cancer theranostics (7 papers), Click Chemistry and Applications (4 papers), TGF-β signaling in diseases (4 papers), Peptidase Inhibition and Analysis (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Immunology (474 citations), Physiology (52 citations), Cancer Research (121 citations), Molecular Biology (478 citations) and Oncology (170 citations). Daniel DiRenzo has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Nicholas J. Leeper, Thomas Quertermous, Clint L. Miller, Vivek Nanda, Ulf Hedin, Lars Mäegdefessel, Andrew J. Connolly, Yoko Kojima, Jianqin Ye and Mete Civelek. Their work appears in journals such as Cancer Research, Cancer Immunology Research, Circulation Research, Annals of Oncology and Journal of Visualized Experiments.
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.