Craig E. Eckfeldt
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 3
- Kruppel-like factors research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Hematology 10
- Acute Myeloid Leukemia Research 9
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Catherine M. Verfaillie (10 shared papers)Eric M. Mendenhall (8 shared papers)Stephen C. Ekker (6 shared papers)Martin Gering (1 shared paper)Anthony R. Green (1 shared paper)F. E. Bertrand (2 shared papers)Lucy J. Patterson (1 shared paper)Roger Patient (1 shared paper)
- Journals
- Blood (6 papers)PLoS Biology (2 papers)Immunological Reviews (2 papers)Developmental Biology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Craig E. Eckfeldt
23 papers receiving 936 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 187
- Hematology 114
- Immunology 181
- Molecular Biology 585
- Genetics 222
Countries citing papers authored by Craig E. Eckfeldt
This map shows the geographic impact of Craig E. Eckfeldt'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 Craig E. Eckfeldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig E. Eckfeldt more than expected).
Fields of papers citing papers by Craig E. Eckfeldt
This network shows the impact of papers produced by Craig E. Eckfeldt. 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 Craig E. Eckfeldt. The network helps show where Craig E. Eckfeldt may publish in the future.
Co-authors
The 25 scholars most cited alongside Craig E. Eckfeldt, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 222 | |
| 2 | 2005 | 167 | |
| 3 | 2006 | 122 | |
| 4 | 2005 | 86 | |
| 5 | 2006 | 69 | |
| 6 | 2020 | 54 | |
| 7 | 2018 | 46 | |
| 8 | 2000 | 45 | |
| 9 | 2004 | 41 | |
| 10 | 2000 | 41 | |
| 11 | 2019 | 17 | |
| 12 | 2017 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 10 | |
| 15 | 2016 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2004 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 1 |
About Craig E. Eckfeldt
Craig E. Eckfeldt is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Oncology, having authored 25 papers that have together received 970 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Immune Cell Function and Interaction (5 papers), Zebrafish Biomedical Research Applications (5 papers), T-cell and B-cell Immunology (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Epigenetics and DNA Methylation (3 papers), Kruppel-like factors research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (187 citations), Hematology (114 citations), Immunology (181 citations), Molecular Biology (585 citations) and Genetics (222 citations). Craig E. Eckfeldt has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Catherine M. Verfaillie, Eric M. Mendenhall, Stephen C. Ekker, Martin Gering, Anthony R. Green, F. E. Bertrand, Lucy J. Patterson, Roger Patient, Tucker W. LeBien and Michael A. Pickart. Their work appears in journals such as Blood, PLoS Biology, Immunological Reviews, Developmental Biology and Oncogene.
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.