Daniel M. Greif
- Immunology and Allergy top 2%
- Cancer Research top 5%
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases 4
- Molecular Biology top 5%
- Congenital heart defects research 6
- Angiogenesis and VEGF in Cancer 4
- Kruppel-like factors research 4
- Single-cell and spatial transcriptomics 3
- Biochemistry top 5%
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- Pulmonary Hypertension Research and Treatments 7
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- Connective tissue disorders research 5
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- Nitric Oxide and Endothelin Effects 4
- Co-authors
- Thomas MichelAbdul Q. SheikhRuqin KouJunsuke IgarashiDavid M. DudzinskiJanet K. LighthouseJui M. DaveAshish Misra
- Journals
- Nature Communications (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Daniel M. Greif
39 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology and Allergy 224
- Cancer Research 517
- Immunology 527
- Molecular Biology 1.6k
- Biochemistry 154
Countries citing papers authored by Daniel M. Greif
This map shows the geographic impact of Daniel M. Greif'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 M. Greif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Greif more than expected).
Fields of papers citing papers by Daniel M. Greif
This network shows the impact of papers produced by Daniel M. Greif. 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 M. Greif. The network helps show where Daniel M. Greif may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel M. Greif, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 31 | |
| 10 | 2021 | 43 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 52 | |
| 13 | 2021 | 105 | |
| 14 | 2018 | 138 | |
| 15 | 2018 | 71 | |
| 16 | 2018 | 64 | |
| 17 | 2017 | 1 | |
| 18 | 2013 | 28 | |
| 19 | 2012 | 69 | |
| 20 | 2002 | 162 |
About Daniel M. Greif
Daniel M. Greif is a scholar working on Immunology and Allergy, Developmental Neuroscience, Hematology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 41 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), Congenital heart defects research (6 papers), Connective tissue disorders research (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Kruppel-like factors research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology and Allergy (224 citations), Cancer Research (517 citations), Immunology (527 citations), Molecular Biology (1.6k citations) and Biochemistry (154 citations). Daniel M. Greif has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Thomas Michel, Abdul Q. Sheikh, Ruqin Kou, Junsuke Igarashi, David M. Dudzinski, Janet K. Lighthouse, Jui M. Dave, Ashish Misra, Kathleen A. Martin and Daniel I. Simon. Their work appears in journals such as Nature Communications, Arteriosclerosis Thrombosis and Vascular Biology, Cell Reports, The Journal of Experimental Medicine and Proceedings of the National Academy of Sciences.
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.