Daniel E. Cramer
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Hematopoietic Stem Cell Transplantation 6
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- Antimicrobial Peptides and Activities 3
- Co-authors
- Jun Yan (9 shared papers)Richard D. Hansen (6 shared papers)Chuanlin Ding (4 shared papers)Daniel J. Allendorf (4 shared papers)Jose Luis Marroquin (3 shared papers)Bing Li (2 shared papers)Suzanne T. Ildstad (5 shared papers)Mariusz Z. Ratajczak (3 shared papers)
- Journals
- Blood (2 papers)Cancer Research (2 papers)Transplantation (2 papers)Stem Cells (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Daniel E. Cramer
22 papers receiving 814 citations
Peers
Comparison fields: 5 of 86
- Immunology 344
- Hematology 118
- Transplantation 18
- Biotechnology 55
- Oncology 130
Countries citing papers authored by Daniel E. Cramer
This map shows the geographic impact of Daniel E. Cramer'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. Cramer 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. Cramer more than expected).
Fields of papers citing papers by Daniel E. Cramer
This network shows the impact of papers produced by Daniel E. Cramer. 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. Cramer. The network helps show where Daniel E. Cramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Cramer, 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 | 2006 | 151 | |
| 2 | 2008 | 126 | |
| 3 | 2007 | 64 | |
| 4 | 2009 | 59 | |
| 5 | 2007 | 55 | |
| 6 | 2005 | 47 | |
| 7 | 2016 | 45 | |
| 8 | 2008 | 44 | |
| 9 | 2007 | 39 | |
| 10 | 2014 | 39 | |
| 11 | 2004 | 34 | |
| 12 | 2004 | 28 | |
| 13 | 2008 | 27 | |
| 14 | 2001 | 27 | |
| 15 | 2002 | 23 | |
| 16 | 2015 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2002 | 7 | |
| 19 | 2022 | 5 | |
| 20 | Yeast beta-glucan amplifies phagocyte killing of iC3b-opsonized tumor cells via CR3-Syk-PI3-kinase pathway. | 2006 | 3 |
About Daniel E. Cramer
Daniel E. Cramer is a scholar working on Hematology, Microbiology, Immunology, Pharmacology and Infectious Diseases, having authored 22 papers that have together received 849 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Polysaccharides and Plant Cell Walls (6 papers), Fungal Biology and Applications (4 papers), Antimicrobial Peptides and Activities (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Complement system in diseases (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Immunology (344 citations), Hematology (118 citations), Transplantation (18 citations), Biotechnology (55 citations) and Oncology (130 citations). Daniel E. Cramer has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jun Yan, Richard D. Hansen, Chuanlin Ding, Daniel J. Allendorf, Jose Luis Marroquin, Bing Li, Suzanne T. Ildstad, Mariusz Z. Ratajczak, Yiming Huang and Bing Li. Their work appears in journals such as Blood, Cancer Research, Transplantation, Stem Cells and The Journal of Immunology.
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.