Michael Eckhaus

15.7k total citations · 3 hit papers
114 papers, 10.2k citations indexed

About

Michael Eckhaus is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Michael Eckhaus has authored 114 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Immunology and 23 papers in Hematology. Recurrent topics in Michael Eckhaus's work include Immune Cell Function and Interaction (16 papers), Hematopoietic Stem Cell Transplantation (16 papers) and T-cell and B-cell Immunology (14 papers). Michael Eckhaus is often cited by papers focused on Immune Cell Function and Interaction (16 papers), Hematopoietic Stem Cell Transplantation (16 papers) and T-cell and B-cell Immunology (14 papers). Michael Eckhaus collaborates with scholars based in United States, Malaysia and Japan. Michael Eckhaus's co-authors include Anthony Wynshaw‐Boris, Thomas Ried, Carrolee Barlow, Francis S. Collins, Oksana Gavrilova, Marc L. Reitman, Bernice Marcus‐Samuels, Danilo A. Tagle, Yosef Shiloh and Marek Liyanage and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Michael Eckhaus

111 papers receiving 10.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Atm-Deficient Mice: A Paradigm of Ataxia Telangiectasia

1996 1.2k citations Michael Eckhaus et al. profile →
Life without white fat: a transgenic mouse

1998 627 citations Oksana Gavrilova, Bernice Marcus‐Samuels et al. profile →
Chimeric 2C10R4 anti-CD40 antibody therapy is critical for long-term survival of GTKO.hCD46.hTBM pig-to-primate cardiac xenograft

2016 330 citations Muhammad M. Mohiuddin, Avneesh K. Singh et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Eckhaus United States	47	4.8k	2.0k	1.6k	1.5k	1.4k	114	10.2k
Hiroyuki Miyoshi Japan	39	5.0k 1.0×	1.4k 0.7×	1.5k 0.9×	2.3k 1.5×	1.3k 0.9×	89	9.1k
Mamoru Ito Japan	53	3.0k 0.6×	4.1k 2.0×	1.6k 1.0×	1.9k 1.3×	1.3k 0.9×	220	10.0k
Ifor R. Williams United States	56	5.6k 1.2×	5.1k 2.5×	2.8k 1.7×	2.1k 1.3×	1.0k 0.7×	156	13.2k
Koichi Ikuta Japan	56	2.9k 0.6×	6.6k 3.3×	1.6k 1.0×	1.7k 1.1×	810 0.6×	162	11.2k
Patrice Dubreuil France	56	2.8k 0.6×	3.4k 1.7×	1.0k 0.6×	1.3k 0.9×	744 0.5×	225	8.8k
Sussan Nourshargh United Kingdom	55	4.1k 0.9×	6.5k 3.2×	995 0.6×	1.5k 0.9×	652 0.5×	132	13.2k
Werner Müller‐Esterl Germany	55	3.6k 0.7×	2.2k 1.1×	1.9k 1.2×	1.0k 0.7×	651 0.5×	185	10.6k
Geoffrey Neale United States	59	7.3k 1.5×	6.6k 3.3×	1.1k 0.7×	2.4k 1.6×	1.1k 0.8×	171	15.3k
Eric J. Brown United States	43	4.7k 1.0×	1.9k 1.0×	562 0.3×	790 0.5×	1.1k 0.8×	60	8.6k
Lucien A. Aarden Netherlands	45	2.4k 0.5×	4.4k 2.1×	977 0.6×	1.2k 0.8×	570 0.4×	101	9.1k

Countries citing papers authored by Michael Eckhaus

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michael Eckhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Eckhaus. A scholar is included among the top collaborators of Michael Eckhaus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Eckhaus. Michael Eckhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Eckhaus, Michael, et al.. (2025). Mitochondrial dysfunction enhances influenza pathogenesis by up-regulating de novo sialic acid biosynthesis. Science Advances. 11(27). eadu3739–eadu3739.

Fletcher, Rochelle, Natália Schneider, Michael T. Patterson, et al.. (2023). Posttransplantation cyclophosphamide expands functional myeloid-derived suppressor cells and indirectly influences Tregs. Blood Advances. 7(7). 1117–1129. 15 indexed citations

Yao, Chen, Tyrone Dowdy, Wenwen Jin, et al.. (2023). TGF-β uncouples glycolysis and inflammation in macrophages and controls survival during sepsis. Science Signaling. 16(797). eade0385–eade0385. 42 indexed citations

Patterson, Michael T., Natália Schneider, Rochelle Fletcher, et al.. (2022). Murine allogeneic CAR T cells integrated before or early after posttransplant cyclophosphamide exert antitumor effects. Blood. 141(6). 659–672. 4 indexed citations

Siddiqui, Mohammad R., Reema Railkar, Thomas Sanford, et al.. (2019). Targeting Epidermal Growth Factor Receptor (EGFR) and Human Epidermal Growth Factor Receptor 2 (HER2) Expressing Bladder Cancer Using Combination Photoimmunotherapy (PIT). Scientific Reports. 9(1). 2084–2084. 55 indexed citations

Wachsmuth, Lucas P., Michael T. Patterson, Michael Eckhaus, David Venzon, & Christopher G. Kanakry. (2019). Optimized Timing of Post-Transplantation Cyclophosphamide in MHC-Haploidentical Murine Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(2). 230–241. 34 indexed citations

Wachsmuth, Lucas P., Michael T. Patterson, Michael Eckhaus, et al.. (2019). Posttransplantation cyclophosphamide prevents graft-versus-host disease by inducing alloreactive T cell dysfunction and suppression. Journal of Clinical Investigation. 129(6). 2357–2373. 164 indexed citations

Ghosh, Manik C., De‐Liang Zhang, Hayden Ollivierre, Michael Eckhaus, & Tracey A. Rouault. (2018). Translational repression of HIF2α expression in mice with Chuvash polycythemia reverses polycythemia. Journal of Clinical Investigation. 128(4). 1317–1325. 23 indexed citations

Mohiuddin, Muhammad M., Avneesh K. Singh, Philip C. Corcoran, et al.. (2016). Chimeric 2C10R4 anti-CD40 antibody therapy is critical for long-term survival of GTKO.hCD46.hTBM pig-to-primate cardiac xenograft. Nature Communications. 7(1). 11138–11138. 330 indexed citations breakdown →

10.

Sionov, Edward, Katrin D. Mayer-Barber, Yun C. Chang, et al.. (2015). Type I IFN Induction via Poly-ICLC Protects Mice against Cryptococcosis. PLoS Pathogens. 11(8). e1005040–e1005040. 30 indexed citations

11.

Ghosh, Manik C., De‐Liang Zhang, Suh Young Jeong, et al.. (2013). Deletion of Iron Regulatory Protein 1 Causes Polycythemia and Pulmonary Hypertension in Mice through Translational Derepression of HIF2α. Cell Metabolism. 17(2). 271–281. 156 indexed citations

12.

Tennant, Sharon M., J. Patrick Gorres, Michael Eckhaus, et al.. (2013). Safety and tolerability of a live oral Salmonella typhimurium vaccine candidate in SIV-infected nonhuman primates. Vaccine. 31(49). 5879–5888. 19 indexed citations

13.

Amarnath, Shoba, Francis A. Flomerfelt, Carliann M. Costanzo, et al.. (2010). Rapamycin generates anti-apoptotic human Th1/Tc1 cells via autophagy for induction of xenogeneic GVHD. Autophagy. 6(4). 523–541. 27 indexed citations

14.

Omokaro, Stephanie O., et al.. (2009). Lymphocytes with Aberrant Expression of Fas or Fas Ligand Attenuate Immune Bone Marrow Failure in a Mouse Model. The Journal of Immunology. 182(6). 3414–3422. 27 indexed citations

15.

Felix, Klaus, Antonios Kyriakopoulos, O. M. Zack Howard, et al.. (2004). Selenium Deficiency Abrogates Inflammation-Dependent Plasma Cell Tumors in Mice. Cancer Research. 64(8). 2910–2917. 27 indexed citations

16.

Feng, Carl G., Michael Eckhaus, Sara Hieny, et al.. (2004). Mice Deficient in LRG-47 Display Increased Susceptibility to Mycobacterial Infection Associated with the Induction of Lymphopenia. The Journal of Immunology. 172(2). 1163–1168. 103 indexed citations

17.

Kundu, Mondira, Amjad Javed, Jae‐Pil Jeon, et al.. (2002). Cbfβ interacts with Runx2 and has a critical role in bone development. Nature Genetics. 32(4). 639–644. 185 indexed citations

18.

Gavrilova, Oksana, Bernice Marcus‐Samuels, David Graham, et al.. (2000). Surgical implantation of adipose tissue reverses diabetes in lipoatrophic mice. Journal of Clinical Investigation. 105(3). 271–278. 488 indexed citations

19.

Danoff, Jerome, et al.. (1998). Effects of Energy-Matched Pulsed and Continuous Ultrasound on Tumor Growth in Mice. Physical Therapy. 78(3). 271–277. 15 indexed citations

20.

Hirsch, Raphael, Michael Eckhaus, Hugh Auchincloss, David H. Sachs, & Jeffrey A. Bluestone. (1988). Effects of in vivo administration of anti-T3 monoclonal antibody on T cell function in mice. I. Immunosuppression of transplantation responses.. The Journal of Immunology. 140(11). 3766–3772. 140 indexed citations

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.

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