Christopher M. Hope

2.2k total citations · 1 hit paper
36 papers, 1.7k citations indexed

About

Christopher M. Hope is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Christopher M. Hope has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Oncology. Recurrent topics in Christopher M. Hope's work include Immune Cell Function and Interaction (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and T-cell and B-cell Immunology (5 papers). Christopher M. Hope is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and T-cell and B-cell Immunology (5 papers). Christopher M. Hope collaborates with scholars based in Australia, United States and Germany. Christopher M. Hope's co-authors include Randall F. Holcombe, Kestutis Planutis, Anthony V. Nguyen, Robert Carroll, Mary Pat Moyer, Simon C. Barry, Anne R. Simoneau, Bang H. Hoang, Jun Xie and Xiaolin Zi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Christopher M. Hope

36 papers receiving 1.6k citations

Hit Papers

Long-term perturbation of the peripheral immune system mo... 2022 2026 2023 2024 2022 50 100 150

Peers

Christopher M. Hope
James A. Nathan United Kingdom
Ioulia Chatzistamou United States
Peter Hughes Australia
Wenyan Fu China
Janice Smith United States
Graeme Hewitt United Kingdom
Weihua Hu China
Christopher M. Hope
Citations per year, relative to Christopher M. Hope Christopher M. Hope (= 1×) peers Neeraj Jain

Countries citing papers authored by Christopher M. Hope

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Hope

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

All Works

20 of 20 papers shown
1.
Hope, Christopher M., Katherine A. Brown, Cheryl Y. Brown, et al.. (2023). Parallel recovery of chromatin accessibility and gene expression dynamics from frozen human regulatory T cells. Scientific Reports. 13(1). 5506–5506. 5 indexed citations
2.
Ryan, Feargal J., Christopher M. Hope, Makutiro G. Masavuli, et al.. (2022). Long-term perturbation of the peripheral immune system months after SARS-CoV-2 infection. BMC Medicine. 20(1). 26–26. 187 indexed citations breakdown →
3.
Hope, Christopher M., Helena Oakey, Griffith B. Perkins, et al.. (2021). Optimization of Blood Handling and Peripheral Blood Mononuclear Cell Cryopreservation of Low Cell Number Samples. International Journal of Molecular Sciences. 22(17). 9129–9129. 14 indexed citations
4.
Brown, Cheryl Y., Timothy Sadlon, Christopher M. Hope, et al.. (2020). Molecular Insights Into Regulatory T-Cell Adaptation to Self, Environment, and Host Tissues: Plasticity or Loss of Function in Autoimmune Disease. Frontiers in Immunology. 11. 1269–1269. 15 indexed citations
5.
Hope, Christopher M., Griffith B. Perkins, Zhilian Yue, et al.. (2020). Encapsulation of Human Natural and Induced Regulatory T‐Cells in IL‐2 and CCL1 Supplemented Alginate‐GelMA Hydrogel for 3D Bioprinting. Advanced Functional Materials. 30(15). 42 indexed citations
6.
Schjenken, John E., Lachlan M. Moldenhauer, Alison S. Care, et al.. (2020). MicroRNA miR-155 is required for expansion of regulatory T cells to mediate robust pregnancy tolerance in mice. Mucosal Immunology. 13(4). 609–625. 37 indexed citations
7.
Ivask, Angela, Andrew J. Mitchell, Christopher M. Hope, et al.. (2017). Single Cell Level Quantification of Nanoparticle–Cell Interactions Using Mass Cytometry. Analytical Chemistry. 89(16). 8228–8232. 33 indexed citations
8.
Hope, Christopher M., William Hanf, Shilpanjali Jesudason, et al.. (2015). Peripheral natural killer cell and allo-stimulated T-cell function in kidney transplant recipients associate with cancer risk and immunosuppression-related complications. Kidney International. 88(6). 1374–1382. 16 indexed citations
9.
Hope, Christopher M.. (2015). Immune profiling and cancer post transplantation. World Journal of Nephrology. 4(1). 41–41. 7 indexed citations
10.
Hope, Christopher M., et al.. (2014). The immune phenotype may relate to cancer development in kidney transplant recipients. Kidney International. 86(1). 175–183. 37 indexed citations
11.
Ulloa, Jesus G., et al.. (2014). Case Report of Intestinal Tuberculosis 6 Years After Simultaneous Pancreas and Kidney Transplant. Transplantation Proceedings. 46(7). 2450–2452. 6 indexed citations
12.
Seiss, Ellen, et al.. (2014). The Relationship between Reversed Masked Priming and the Tri-Phasic Pattern of the Lateralised Readiness Potential. PLoS ONE. 9(4). e93876–e93876. 6 indexed citations
13.
Hope, Christopher M., Ellen Seiss, P. Dean, Katie Williams, & Annette Sterr. (2013). Consumption of glucose drinks slows sensorimotor processing: double-blind placebo-controlled studies with the Eriksen flanker task. Frontiers in Human Neuroscience. 7. 651–651. 7 indexed citations
14.
Tang, Yaxiong, Anne R. Simoneau, Yi Guo, et al.. (2009). WIF1, a Wnt pathway inhibitor, regulates SKP2 and c-myc expression leading to G1 arrest and growth inhibition of human invasive urinary bladder cancer cells. Molecular Cancer Therapeutics. 8(2). 458–468. 89 indexed citations
15.
Hope, Christopher M., et al.. (2008). Low concentrations of resveratrol inhibit Wnt signal throughput in colon-derived cells: Implications for colon cancer prevention. Molecular Nutrition & Food Research. 52 Suppl 1. S52–61. 108 indexed citations
17.
Planutis, Kestutis, et al.. (2005). Effect of resveratrol on Wnt signaling in hematopoietic cells. Cancer Research. 65. 1084–1084. 1 indexed citations
18.
Wagner, Markus, Tracy T. Cao, Martha E. Lopez, et al.. (1996). Expression of a truncated EGF receptor is associated with inhibition of pancreatic cancer cell growth and enhanced sensitivity to cisplatinum. International Journal of Cancer. 68(6). 782–787. 42 indexed citations
19.
Yokoyama, Masaaki, Hitoshi Funatomi, Christopher M. Hope, et al.. (1996). Heparin-binding EGF-like growth factor expression and biological action in human pancreatic cancer cells. International Journal of Oncology. 8(2). 289–95. 3 indexed citations
20.
Kobrin, Michael S., et al.. (1994). A variant epidermal growth factor receptor exhibits altered type alpha transforming growth factor binding and transmembrane signaling.. Proceedings of the National Academy of Sciences. 91(21). 10217–10221. 111 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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