William Eades
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 3
- Co-authors
- Marc I. Diamond (1 shared paper)Nigel J. Cairns (1 shared paper)Larisa Belaygorod (1 shared paper)Thomas E. Mahan (1 shared paper)David M. Holtzman (1 shared paper)Jennifer L. Furman (1 shared paper)Hilda Mirbaha (1 shared paper)Brandon B. Holmes (1 shared paper)
- Journals
- Blood (3 papers)Developmental Cell (2 papers)Cytometry Part A (2 papers)Waste Management (2 papers)Pharmaceutics (1 paper)
- Partner nations
- United StatesGhanaGermany
In The Last Decade
William Eades
22 papers receiving 1.5k citations
William Eades's Hit Papers
Peers
Comparison fields: 5 of 107
- Hematology 368
- Physiology 395
- Neurology 120
- Oncology 316
- Cancer Research 168
Countries citing papers authored by William Eades
This map shows the geographic impact of William Eades'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 William Eades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Eades more than expected).
Fields of papers citing papers by William Eades
This network shows the impact of papers produced by William Eades. 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 William Eades. The network helps show where William Eades may publish in the future.
Co-authors
The 25 scholars most cited alongside William Eades, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteopathic tau seeding predicts tauopathy in vivo Hit paper breakdown → | 2014 | 474 |
| 2 | 2014 | 267 | |
| 3 | 2005 | 226 | |
| 4 | 2015 | 141 | |
| 5 | 2006 | 71 | |
| 6 | 2007 | 64 | |
| 7 | 2008 | 64 | |
| 8 | 2017 | 60 | |
| 9 | 2017 | 45 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2024 | 3 |
About William Eades
William Eades is a scholar working on Molecular Biology, Hematology, Industrial and Manufacturing Engineering, Oncology and Infectious Diseases, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Landfill Environmental Impact Studies (4 papers), Computational Drug Discovery Methods (3 papers), Acute Myeloid Leukemia Research (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hematology (368 citations), Physiology (395 citations), Neurology (120 citations), Oncology (316 citations) and Cancer Research (168 citations). William Eades has collaborated with scholars based in United States, Ghana and Germany. Frequent co-authors include Marc I. Diamond, Nigel J. Cairns, Larisa Belaygorod, Thomas E. Mahan, David M. Holtzman, Jennifer L. Furman, Hilda Mirbaha, Brandon B. Holmes, Tritia R. Yamasaki and John F. DiPersio. Their work appears in journals such as Blood, Developmental Cell, Cytometry Part A, Waste Management and Pharmaceutics.
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.