Daniel E. Cruz
Impact in
-
- Neurogenesis and neuroplasticity mechanisms
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
- Genetics 5
- Genetic Associations and Epidemiology 4
- Co-authors
- Robert Edgardo Gerszten (7 shared papers)Yan Lin Gao (5 shared papers)Jeremy Robbins (5 shared papers)James Grant Wilson (2 shared papers)Claude Bouchard (2 shared papers)Mark A. Sarzynski (2 shared papers)Zsu‐Zsu Chen (6 shared papers)Usman A. Tahir (6 shared papers)
- Journals
- Diabetes (2 papers)JAMA Cardiology (2 papers)Nature Communications (2 papers)American Heart Journal (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Daniel E. Cruz
22 papers receiving 553 citations
Peers
Comparison fields: 5 of 72
- Developmental Neuroscience 24
- Immunology 64
- Molecular Biology 200
- Physiology 60
- Genetics 63
Countries citing papers authored by Daniel E. Cruz
This map shows the geographic impact of Daniel E. Cruz'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 E. Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Cruz more than expected).
Fields of papers citing papers by Daniel E. Cruz
This network shows the impact of papers produced by Daniel E. Cruz. 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 E. Cruz. The network helps show where Daniel E. Cruz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Cruz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 1998 | 59 | |
| 3 | 2007 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2021 | 35 | |
| 8 | 2011 | 34 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 24 | |
| 11 | 2023 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Daniel E. Cruz
Daniel E. Cruz is a scholar working on Molecular Biology, Genetics, Spectroscopy, Immunology and Developmental Neuroscience, having authored 22 papers that have together received 567 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Genetic Associations and Epidemiology (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Lipid metabolism and biosynthesis (1 paper), CAR-T cell therapy research (1 paper), Renal Diseases and Glomerulopathies (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Developmental Neuroscience (24 citations), Immunology (64 citations), Molecular Biology (200 citations), Physiology (60 citations) and Genetics (63 citations). Daniel E. Cruz has collaborated with scholars based in United States and Poland. Frequent co-authors include Robert Edgardo Gerszten, Yan Lin Gao, Jeremy Robbins, James Grant Wilson, Claude Bouchard, Mark A. Sarzynski, Zsu‐Zsu Chen, Usman A. Tahir, Beate C. Sydora and Adolfo Correa. Their work appears in journals such as Diabetes, JAMA Cardiology, Nature Communications, American Heart Journal and Science Advances.
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.