Robert D. Leone
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Immune cells in cancer 4
- Immune Cell Function and Interaction 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Jonathan D. Powell (5 shared papers)Ying-Chun Lo (1 shared paper)Im-Meng Sun (2 shared papers)Pavel Majer (2 shared papers)Richard L. Blosser (1 shared paper)Wei Xu (2 shared papers)Samuel L. Collins (2 shared papers)Jiayu Wen (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)Clinical Cancer Research (1 paper)Computational and Structural Biotechnology Journal (1 paper)Frontiers in Oncology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Robert D. Leone
8 papers receiving 1.2k citations
Robert D. Leone's Hit Papers
Peers
Comparison fields: 5 of 76
- Physiology 140
- Cancer Research 376
- Immunology 543
- Oncology 379
- Biological Psychiatry 26
Countries citing papers authored by Robert D. Leone
This map shows the geographic impact of Robert D. Leone'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 Robert D. Leone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Leone more than expected).
Fields of papers citing papers by Robert D. Leone
This network shows the impact of papers produced by Robert D. Leone. 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 Robert D. Leone. The network helps show where Robert D. Leone may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert D. Leone, 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 | Metabolism of immune cells in cancer Hit paper breakdown → | 2020 | 610 |
| 2 | Targeting glutamine metabolism enhances tumor-specific immunity by modulating suppressive myeloid cells Hit paper breakdown → | 2020 | 335 |
| 3 | 2015 | 189 | |
| 4 | 2022 | 90 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 1 | |
| 8 | 2025 | 1 |
About Robert D. Leone
Robert D. Leone is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Physiology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers), Adenosine and Purinergic Signaling (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Research and Treatments (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Physiology (140 citations), Cancer Research (376 citations), Immunology (543 citations), Oncology (379 citations) and Biological Psychiatry (26 citations). Robert D. Leone has collaborated with scholars based in United States and Czechia. Frequent co-authors include Jonathan D. Powell, Ying-Chun Lo, Im-Meng Sun, Pavel Majer, Richard L. Blosser, Wei Xu, Samuel L. Collins, Jiayu Wen, Min Hee Oh and Liang Zhao. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Clinical Cancer Research, Computational and Structural Biotechnology Journal, Frontiers in Oncology and Cancer Research.
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.