Michael Eckhaus
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 16
- Immunology top 1%
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 11
- Genetics top 1%
- Virus-based gene therapy research 9
- Virology top 2%
- HIV Research and Treatment 6
- Molecular Biology top 1%
- DNA Repair Mechanisms 6
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- Xenotransplantation and immune response 6
- Co-authors
- Anthony Wynshaw‐BorisThomas RiedCarrolee BarlowFrancis S. CollinsOksana GavrilovaBernice Marcus‐SamuelsMarc L. ReitmanMarek Liyanage
- Cited by
- HematologyImmunologyGenetics
- Journals
- The Journal of Immunology (9 papers)Blood (7 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesMalaysiaJapan
In The Last Decade
Michael Eckhaus
111 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Hematology 1.6k
- Immunology 2.0k
- Genetics 936
- Virology 383
- Molecular Biology 4.8k
Countries citing papers authored by Michael Eckhaus
This map shows the geographic impact of Michael Eckhaus'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 Michael Eckhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Eckhaus more than expected).
Fields of papers citing papers by Michael Eckhaus
This network shows the impact of papers produced by Michael Eckhaus. 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 Michael Eckhaus. The network helps show where Michael Eckhaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Eckhaus, 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 | 2025 | 0 | |
| 2 | 2023 | 42 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 4 | |
| 5 | 2019 | 164 | |
| 6 | 2019 | 34 | |
| 7 | 2018 | 23 | |
| 8 | 2013 | 156 | |
| 9 | 2013 | 19 | |
| 10 | 2011 | 20 | |
| 11 | 2011 | 377 | |
| 12 | 2010 | 27 | |
| 13 | 2009 | 27 | |
| 14 | 2005 | 63 | |
| 15 | 2005 | 11 | |
| 16 | 2004 | 27 | |
| 17 | 2004 | 103 | |
| 18 | 2000 | 488 | |
| 19 | 1991 | 223 | |
| 20 | 1988 | 140 |
About Michael Eckhaus
Michael Eckhaus is a scholar working on Hematology, Transplantation and Immunology, having authored 114 papers that have together received 10.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Hematopoietic Stem Cell Transplantation (16 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (9 papers), DNA Repair Mechanisms (6 papers), HIV Research and Treatment (6 papers) and Xenotransplantation and immune response (6 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology (2.0k citations) and Genetics (936 citations). Michael Eckhaus has collaborated with scholars based in United States, Malaysia and Japan. Frequent co-authors include Anthony Wynshaw‐Boris, Thomas Ried, Carrolee Barlow, Francis S. Collins, Oksana Gavrilova, Bernice Marcus‐Samuels, Marc L. Reitman, Marek Liyanage, Jacqueline N. Crawley and Tracey A. Rouault. Their work appears in journals such as The Journal of Immunology, Blood, Proceedings of the National Academy of Sciences, Biology of Blood and Marrow Transplantation and Cell Metabolism.
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.