Heather D. Marshall

2.4k total citations
15 papers, 1.8k citations indexed

About

Heather D. Marshall is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Heather D. Marshall has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Heather D. Marshall's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). Heather D. Marshall is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). Heather D. Marshall collaborates with scholars based in United States, Australia and Canada. Heather D. Marshall's co-authors include Joe Craft, Matthew Staron, Brian J. Laidlaw, Susan M. Kaech, Raymond M. Welsh, Susan M. Kaech, Stina L. Urban, Ian A. Parish, John Ray and Tianxia Guan and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Heather D. Marshall

15 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather D. Marshall United States	11	1.5k	455	275	214	132	15	1.8k
Michelle Miron United States	12	1.7k 1.1×	448 1.0×	361 1.3×	278 1.3×	161 1.2×	17	2.2k
Naomi McGovern United Kingdom	17	1.2k 0.8×	264 0.6×	353 1.3×	156 0.7×	148 1.1×	28	1.8k
Angus T. Stock Australia	15	1.8k 1.2×	358 0.8×	290 1.1×	301 1.4×	90 0.7×	24	2.1k
Debra C. Lins United States	8	1.5k 1.0×	448 1.0×	255 0.9×	156 0.7×	73 0.6×	8	1.7k
Charlie Maliszewski United States	12	1.5k 1.0×	272 0.6×	355 1.3×	164 0.8×	74 0.6×	16	1.8k
Giuseppe Carra Italy	11	1.6k 1.0×	253 0.6×	227 0.8×	203 0.9×	124 0.9×	13	1.8k
Sue Blackwell United States	17	1.1k 0.7×	296 0.7×	314 1.1×	156 0.7×	73 0.6×	56	1.6k
Katharina Willimann Switzerland	12	2.4k 1.6×	835 1.8×	239 0.9×	197 0.9×	83 0.6×	14	2.8k
Daniel Benítez‐Ribas Spain	20	1.4k 1.0×	473 1.0×	417 1.5×	111 0.5×	81 0.6×	42	1.8k
Nathalie T. Joncker United States	12	1.8k 1.2×	732 1.6×	319 1.2×	228 1.1×	93 0.7×	16	2.1k

Countries citing papers authored by Heather D. Marshall

Since Specialization

Citations

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

Fields of papers citing papers by Heather D. Marshall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather D. Marshall. 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 Heather D. Marshall. The network helps show where Heather D. Marshall may publish in the future.

Co-authorship network of co-authors of Heather D. Marshall

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Ray, John, Matthew Staron, Justin A. Shyer, et al.. (2015). The Interleukin-2-mTORc1 Kinase Axis Defines the Signaling, Differentiation, and Metabolism of T Helper 1 and Follicular B Helper T Cells. Immunity. 43(4). 690–702. 245 indexed citations

Dominguez, Claudia X., Robert A. Amezquita, Tianxia Guan, et al.. (2015). The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection. The Journal of Cell Biology. 211(3). 2113OIA258–2113OIA258. 2 indexed citations

Dominguez, Claudia X., Robert A. Amezquita, Tianxia Guan, et al.. (2015). The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection. The Journal of Experimental Medicine. 212(12). 2041–2056. 177 indexed citations

Marshall, Heather D., John Ray, Brian J. Laidlaw, et al.. (2015). The transforming growth factor beta signaling pathway is critical for the formation of CD4 T follicular helper cells and isotype-switched antibody responses in the lung mucosa. eLife. 4. e04851–e04851. 50 indexed citations

Parish, Ian A., Heather D. Marshall, Matthew Staron, et al.. (2014). Chronic viral infection promotes sustained Th1-derived immunoregulatory IL-10 via BLIMP-1. Journal of Clinical Investigation. 124(8). 3455–3468. 68 indexed citations

Marshall, Heather D. & Susan M. Kaech. (2014). Regulating the diverse outcomes of interferon's interference. Trends in Immunology. 35(8). 353–354. 1 indexed citations

Laidlaw, Brian J., Nianzhi Zhang, Heather D. Marshall, et al.. (2014). CD4+ T Cell Help Guides Formation of CD103+ Lung-Resident Memory CD8+ T Cells during Influenza Viral Infection. Immunity. 41(4). 633–645. 287 indexed citations

Ray, John, Heather D. Marshall, Brian J. Laidlaw, et al.. (2014). Transcription Factor STAT3 and Type I Interferons Are Corepressive Insulators for Differentiation of Follicular Helper and T Helper 1 Cells. Immunity. 40(3). 367–377. 182 indexed citations

Staron, Matthew, Simon M. Gray, Heather D. Marshall, et al.. (2014). The Transcription Factor FoxO1 Sustains Expression of the Inhibitory Receptor PD-1 and Survival of Antiviral CD8+ T Cells during Chronic Infection. Immunity. 41(5). 802–814. 292 indexed citations

10.

Welsh, Raymond M., Kapil Bahl, Heather D. Marshall, & Stina L. Urban. (2012). Type 1 Interferons and Antiviral CD8 T-Cell Responses. PLoS Pathogens. 8(1). e1002352–e1002352. 143 indexed citations

11.

Marshall, Heather D., Anmol Chandele, Yong Woo Jung, et al.. (2011). Differential Expression of Ly6C and T-bet Distinguish Effector and Memory Th1 CD4+ Cell Properties during Viral Infection. Immunity. 35(4). 633–646. 235 indexed citations

12.

Marshall, Heather D., Stina L. Urban, & Raymond M. Welsh. (2011). Virus-Induced Transient Immune Suppression and the Inhibition of T Cell Proliferation by Type I Interferon. Journal of Virology. 85(12). 5929–5939. 72 indexed citations

13.

Marshall, Heather D., Amanda Prince, Leslie J. Berg, & Raymond M. Welsh. (2010). IFN-αβ and Self-MHC Divert CD8 T Cells into a Distinct Differentiation Pathway Characterized by Rapid Acquisition of Effector Functions. The Journal of Immunology. 185(3). 1419–1428. 46 indexed citations

14.

Cosenza-Nashat, Melissa, Meng-Liang Zhao, Heather D. Marshall, et al.. (2007). Human immunodeficiency virus infection inhibits granulocyte-macrophage colony-stimulating factor–induced microglial proliferation. Journal of NeuroVirology. 13(6). 536–548. 9 indexed citations

15.

Marshall, Heather D.. (2001). Anti-CD20 antibody therapy is highly effective in the treatment of follicular lymphoma. Trends in Immunology. 22(4). 183–184. 7 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.

Explore authors with similar magnitude of impact