M. Sykes

2.0k total citations
16 papers, 576 citations indexed

About

M. Sykes is a scholar working on Immunology, Hematology and Surgery. According to data from OpenAlex, M. Sykes has authored 16 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Hematology and 4 papers in Surgery. Recurrent topics in M. Sykes's work include T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immune Cell Function and Interaction (5 papers). M. Sykes is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immune Cell Function and Interaction (5 papers). M. Sykes collaborates with scholars based in United States, Canada and United Kingdom. M. Sykes's co-authors include Tatsuo Kawai, David H. Sachs, Abrar Ul Haq Khan, Justin J. Sergio, Yukihiro Tomita, D H Sachs, A. Ángel, Boris Nikolic, Varghese Abraham and David H. Sachs and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Journal of Nutrition.

In The Last Decade

M. Sykes

14 papers receiving 566 citations

Peers

M. Sykes
Meredith Chittenden United States
Gregory Abrahamian United States
Lisa Brennan United States
N Chkoff France
Mark T. Vander Lugt United States
Brittany Shonts United States
Meredith Chittenden United States
M. Sykes
Citations per year, relative to M. Sykes M. Sykes (= 1×) peers Meredith Chittenden

Countries citing papers authored by M. Sykes

Since Specialization
Citations

This map shows the geographic impact of M. Sykes'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 M. Sykes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sykes more than expected).

Fields of papers citing papers by M. Sykes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sykes. 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 M. Sykes. The network helps show where M. Sykes may publish in the future.

Co-authorship network of co-authors of M. Sykes

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sykes. A scholar is included among the top collaborators of M. Sykes 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 M. Sykes. M. Sykes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Solanki, Sumeet, Ryan J. Rebernick, Cristina Castillo, et al.. (2025). Low Protein Diet Exacerbates Experimental Mouse Models of Colitis through Epithelial Autonomous and Nonautonomous Mechanisms. Journal of Nutrition. 155(6). 1804–1817.
2.
Marshall, David, et al.. (2018). Systematic review of methods for quantifying teamwork in the operating theatre. BJS Open. 2(2). 42–51. 20 indexed citations
3.
Zuber, Julien, Brittany Shonts, Ben Sprangers, et al.. (2015). Macrochimerism in Intestinal Transplantation: Association With Lower Rejection Rates and Multivisceral Transplants, Without GVHD. American Journal of Transplantation. 15(10). 2691–2703. 44 indexed citations
4.
Sachs, David H., Tatsuo Kawai, & M. Sykes. (2014). Induction of Tolerance through Mixed Chimerism. Cold Spring Harbor Perspectives in Medicine. 4(1). a015529–a015529. 99 indexed citations
5.
Lucas, C., et al.. (2010). Recipient Dendritic Cells, But Not B Cells, Are Required Antigen‐Presenting Cells for Peripheral Alloreactive CD8+ T‐Cell Tolerance. American Journal of Transplantation. 10(3). 518–526. 13 indexed citations
6.
Sykes, M., Rachel Tolhurst, & S. Bertel Squire. (2006). Vulnerable patients and the Public-Private Mix in tuberculosis.
8.
Nikolic, Boris, Abrar Ul Haq Khan, & M. Sykes. (2001). Induction of tolerance by mixed chimerism with nonmyeloblative host conditioning: The importance of overcoming intrathymic alloresistance. Biology of Blood and Marrow Transplantation. 7(3). 144–153. 37 indexed citations
10.
Sergio, Justin J., et al.. (1996). NATURAL KILLER CELLS WEAKLY RESIST ENGRAFTMENT OF ALLOGENEIC, LONG-TERM, MULTILINEAGE-REPOPULATING HEMATOPOIETIC STEM CELLS1. Transplantation. 61(1). 125–132. 76 indexed citations
11.
Sachs, David H., et al.. (1995). Tolerance and xenograft survival. Nature Medicine. 1(9). 969–969. 35 indexed citations
12.
Sykes, M., et al.. (1995). Specific unresponsiveness to a retrovirally-transferred class I antigen is controlled through the helper pathway.. The Journal of Immunology. 154(4). 1587–1595. 39 indexed citations
13.
Sykes, M.. (1993). Novel approaches to the control of graft versus host disease. Current Opinion in Immunology. 5(5). 774–781. 16 indexed citations
14.
Abraham, Varghese, D H Sachs, & M. Sykes. (1992). Mechanism of protection from graft-versus-host disease mortality by IL-2. III. Early reductions in donor T cell subsets and expansion of a CD3+CD4-CD8- cell population. The Journal of Immunology. 148(12). 3746–3752. 29 indexed citations
15.
Gross, Georg G., M. Sykes, Ramiro Arellano, B Fong, & A. Ángel. (1987). HDL clearance and receptor-mediated catabolism of LDL are reduced in hypothyroid rats. Atherosclerosis. 66(3). 269–275. 29 indexed citations
16.
Sykes, M., et al.. (1981). The effects of hypothyroidism, age, and nutrition on LDL catabolism in the rat. Metabolism. 30(8). 733–738. 24 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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