Christopher R. D’Angelo
Impact in
-
- Hematopoietic Stem Cell Transplantation
-
- Viral Infections and Vectors
Papers in
- Oncology 15
- CAR-T cell therapy research 8
- Neutropenia and Cancer Infections 5
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Natalie S. Callander (5 shared papers)Sailendharan Sudakaran (3 shared papers)Dalia El‐Gamal (5 shared papers)Peiman Hematti (3 shared papers)Emérito Amaro-Carambot (3 shared papers)Alexander C. Schmidt (3 shared papers)Nicolaas Schaap (3 shared papers)Peter L. Collins (3 shared papers)
- Journals
- Blood (10 papers)International Journal of Molecular Sciences (2 papers)Virology (2 papers)Fusion Science & Technology (1 paper)Cancer (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Christopher R. D’Angelo
29 papers receiving 181 citations
Peers
Comparison fields: 5 of 53
- Hematology 29
- Infectious Diseases 40
- Oncology 48
- Epidemiology 54
- Genetics 16
Countries citing papers authored by Christopher R. D’Angelo
This map shows the geographic impact of Christopher R. D’Angelo'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 Christopher R. D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. D’Angelo more than expected).
Fields of papers citing papers by Christopher R. D’Angelo
This network shows the impact of papers produced by Christopher R. D’Angelo. 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 Christopher R. D’Angelo. The network helps show where Christopher R. D’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher R. D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2022 | 18 | |
| 3 | 2017 | 18 | |
| 4 | 2009 | 16 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2015 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2011 | 11 | |
| 10 | 2010 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2006 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Christopher R. D’Angelo
Christopher R. D’Angelo is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Genetics and Epidemiology, having authored 36 papers that have together received 181 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), CAR-T cell therapy research (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Gut microbiota and health (5 papers), Neutropenia and Cancer Infections (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Mycobacterium research and diagnosis (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Hematology (29 citations), Infectious Diseases (40 citations), Oncology (48 citations), Epidemiology (54 citations) and Genetics (16 citations). Christopher R. D’Angelo has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Natalie S. Callander, Sailendharan Sudakaran, Dalia El‐Gamal, Peiman Hematti, Emérito Amaro-Carambot, Alexander C. Schmidt, Nicolaas Schaap, Peter L. Collins, Fotis Asimakopoulos and Nasia Safdar. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Virology, Fusion Science & Technology and Cancer.
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.