Amanda N. Henning

950 total citations
10 papers, 613 citations indexed

About

Amanda N. Henning is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Amanda N. Henning has authored 10 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Amanda N. Henning's work include CAR-T cell therapy research (4 papers), Epigenetics and DNA Methylation (3 papers) and Immune Cell Function and Interaction (3 papers). Amanda N. Henning is often cited by papers focused on CAR-T cell therapy research (4 papers), Epigenetics and DNA Methylation (3 papers) and Immune Cell Function and Interaction (3 papers). Amanda N. Henning collaborates with scholars based in United States, Malaysia and United Kingdom. Amanda N. Henning's co-authors include Nicholas P. Restifo, Rahul Roychoudhuri, Madhusudhanan Sukumar, Tori N. Yamamoto, Suman K. Vodnala, Zhiya Yu, Rigel J. Kishton, Devikala Gurusamy, Mary A. Black and Jenny H. Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature reviews. Immunology.

In The Last Decade

Amanda N. Henning

9 papers receiving 609 citations

Peers

Amanda N. Henning

IMMUN

ONCOL

GENET

Samuel Alsén Sweden

Irene Olivera Spain

Uxua Mancheño Spain

Dries Renmans Belgium

Simon Yue United States

Patrick Roelli Switzerland

Blake Flood United States

Mackenzie L. Shindorf United States

Mara Valentini Italy

Jean‐Christophe Beltra United States

Samuel Alsén Sweden

Amanda N. Henning

513 ×1.6

IMMUN

277 ×1.0

ONCOL

191 ×0.7

56 ×0.8

GENET

35 ×0.8

Citations per year, relative to Amanda N. Henning Amanda N. Henning (= 1×) peers Samuel Alsén

Countries citing papers authored by Amanda N. Henning

Since Specialization

Citations

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

Fields of papers citing papers by Amanda N. Henning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda N. Henning. 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 Amanda N. Henning. The network helps show where Amanda N. Henning may publish in the future.

Co-authorship network of co-authors of Amanda N. Henning

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

All Works

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10 of 10 papers shown

Henning, Amanda N., et al.. (2025). Assessing the impact of cell isolation method on B cell gene expression using next-generation sequencing. Experimental Hematology. 146. 104766–104766.

Henning, Amanda N., Dahgwahdorj Yagaanbuyant, Huizhi Zhou, et al.. (2022). Peripheral B cells from patients with hepatitis C virus-associated lymphoma exhibit clonal expansion and an anergic-like transcriptional profile. iScience. 26(1). 105801–105801. 3 indexed citations

Sukumar, Madhusudhanan, Kuoyuan Cheng, Arunakumar Gangaplara, et al.. (2021). Abstract 1527: Integrated computational and experimental analysis identifies the mitochondrial uncoupling protein 2 (Ucp2) as a key regulator of T cell anti-tumor function. Cancer Research. 81(13_Supplement). 1527–1527. 1 indexed citations

Henning, Amanda N., et al.. (2021). Immunomagnetic B cell isolation as a tool to study blood cell subsets and enrich B cell transcripts. BMC Research Notes. 14(1). 418–418. 1 indexed citations

Giorgi, Valeria De, Kamille A. West, Amanda N. Henning, et al.. (2021). Naturally Acquired SARS-CoV-2 Immunity Persists for Up to 11 Months Following Infection. The Journal of Infectious Diseases. 224(8). 1294–1304. 41 indexed citations

Gurusamy, Devikala, Amanda N. Henning, Tori N. Yamamoto, et al.. (2020). Multi-phenotype CRISPR-Cas9 Screen Identifies p38 Kinase as a Target for Adoptive Immunotherapies. Cancer Cell. 37(6). 818–833.e9. 116 indexed citations

Lee, Ping‐Hsien, Tori N. Yamamoto, Devikala Gurusamy, et al.. (2019). Host conditioning with IL-1β improves the antitumor function of adoptively transferred T cells. The Journal of Experimental Medicine. 216(11). 2619–2634. 60 indexed citations

Henning, Amanda N., Rahul Roychoudhuri, & Nicholas P. Restifo. (2018). Epigenetic control of CD8+ T cell differentiation. Nature reviews. Immunology. 18(5). 340–356. 353 indexed citations

Henning, Amanda N., Jill D. Haag, Bart M. G. Smits, & Michael N. Gould. (2016). The Non-coding Mammary Carcinoma Susceptibility Locus, Mcs5c, Regulates Pappa Expression via Age-Specific Chromatin Folding and Allele-Dependent DNA Methylation. PLoS Genetics. 12(8). e1006261–e1006261. 10 indexed citations

10.

Wille, Coral K., Dhananjay M. Nawandar, Amanda N. Henning, et al.. (2015). 5-hydroxymethylation of the EBV genome regulates the latent to lytic switch. Proceedings of the National Academy of Sciences. 112(52). E7257–65. 28 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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