Frances E. Pearson

883 total citations
16 papers, 560 citations indexed

About

Frances E. Pearson is a scholar working on Immunology, Oncology and Pharmaceutical Science. According to data from OpenAlex, Frances E. Pearson has authored 16 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Oncology and 4 papers in Pharmaceutical Science. Recurrent topics in Frances E. Pearson's work include Immunotherapy and Immune Responses (12 papers), Advancements in Transdermal Drug Delivery (4 papers) and CAR-T cell therapy research (4 papers). Frances E. Pearson is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Advancements in Transdermal Drug Delivery (4 papers) and CAR-T cell therapy research (4 papers). Frances E. Pearson collaborates with scholars based in Australia, United Kingdom and United States. Frances E. Pearson's co-authors include M. A. F. Kendall, Ingrid Leal Rojas, Kristen J. Radford, Adrian V. S. Hill, Oscar Haigh, Conor O’Mahony, Celia L. McNeilly, Anne Moore, Jacob W. Coffey and Michael L. Crichton and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Frances E. Pearson

16 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frances E. Pearson Australia	13	343	206	125	104	83	16	560
Marija Zaric United Kingdom	10	248 0.7×	304 1.5×	131 1.0×	173 1.7×	24 0.3×	12	511
Angela Shaulov Kask United States	5	221 0.6×	87 0.4×	52 0.4×	78 0.8×	33 0.4×	10	385
Maria Martin Germany	8	238 0.7×	49 0.2×	85 0.7×	34 0.3×	62 0.7×	8	417
Christopher L. D. McMillan Australia	11	83 0.2×	38 0.2×	134 1.1×	19 0.2×	12 0.1×	20	380
Joseph K. Burkholder United States	7	277 0.8×	29 0.1×	285 2.3×	10 0.1×	72 0.9×	9	536
Karine Mollier France	12	181 0.5×	9 0.0×	240 1.9×	50 0.5×	90 1.1×	14	519
M. Fóns United States	15	211 0.6×	14 0.1×	154 1.2×	13 0.1×	72 0.9×	27	649
Anya Hammann‐Haenni Germany	5	262 0.8×	6 0.0×	127 1.0×	55 0.5×	44 0.5×	5	537
Claudia C. Sombroek Netherlands	12	617 1.8×	13 0.1×	128 1.0×	36 0.3×	195 2.3×	16	857
Trevor R.F. Smith United States	13	194 0.6×	20 0.1×	164 1.3×	4 0.0×	59 0.7×	32	506

Countries citing papers authored by Frances E. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Frances E. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances E. Pearson. 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 Frances E. Pearson. The network helps show where Frances E. Pearson may publish in the future.

Co-authorship network of co-authors of Frances E. Pearson

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

All Works

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16 of 16 papers shown

Leigh, Simon, et al.. (2021). To Tweet or Not to Tweet: A Longitudinal Analysis of Social Media Use by Global Diabetes Researchers. Pharmaceutical Medicine. 35(6). 353–365. 1 indexed citations

Lee, Yoke Seng, Carina Walpole, Frances E. Pearson, et al.. (2021). Human CD141⁺ dendritic cells (cDC1) are impaired in patients with advanced melanoma but can be targeted to enhance anti-PD-1 in a humanized mouse model. Journal for ImmunoTherapy of Cancer. 9(3). e001963–e001963. 39 indexed citations

Masterman, Kelly‐Anne, Oscar Haigh, Kirsteen M. Tullett, et al.. (2020). Human CLEC9A antibodies deliver NY-ESO-1 antigen to CD141⁺ dendritic cells to activate naïve and memory NY-ESO-1-specific CD8⁺ T cells. Journal for ImmunoTherapy of Cancer. 8(2). e000691–e000691. 33 indexed citations

Pearson, Frances E., Kirsteen M. Tullett, Ingrid Leal Rojas, et al.. (2020). Human CLEC9A antibodies deliver Wilms' tumor 1 (WT1) antigen to CD141⁺ dendritic cells to activate naïve and memory WT1‐specific CD8⁺ T cells. Clinical & Translational Immunology. 9(6). e1141–e1141. 31 indexed citations

Masterman, Kelly‐Anne, Oscar Haigh, Kirsteen M. Tullett, et al.. (2020). 612 Human CLEC9A antibodies deliver NY-ESO-1 antigen to CD141+ dendritic cells to activate naïve and memory NY-ESO-1-specific CD8+ T cells. SHILAP Revista de lepidopterología. A368.1–A368. 1 indexed citations

Masterman, Kelly‐Anne, Frances E. Pearson, Kirsteen M. Tullett, et al.. (2018). Targeting human CD141+ DC using CLEC9A antibodies for cancer immunotherapy. Annals of Oncology. 29. x35–x36. 3 indexed citations

Pearson, Frances E., et al.. (2018). Activation of human CD141⁺ and CD1c⁺ dendritic cells in vivo with combined TLR3 and TLR7/8 ligation. Immunology and Cell Biology. 96(4). 390–400. 34 indexed citations

Rojas, Ingrid Leal, et al.. (2017). Human Blood CD1c+ Dendritic Cells Promote Th1 and Th17 Effector Function in Memory CD4+ T Cells. Frontiers in Immunology. 8. 971–971. 73 indexed citations

Muller, David A., Frances E. Pearson, Germain J. P. Fernando, et al.. (2016). Inactivated poliovirus type 2 vaccine delivered to rat skin via high density microprojection array elicits potent neutralising antibody responses. Scientific Reports. 6(1). 22094–22094. 38 indexed citations

10.

Crichton, Michael L., David A. Muller, Alexandra C. I. Depelsenaire, et al.. (2016). The changing shape of vaccination: improving immune responses through geometrical variations of a microdevice for immunization. Scientific Reports. 6(1). 27217–27217. 26 indexed citations

11.

Pearson, Frances E., Conor O’Mahony, Anne Moore, & Adrian V. S. Hill. (2015). Induction of CD8+ T cell responses and protective efficacy following microneedle-mediated delivery of a live adenovirus-vectored malaria vaccine. Vaccine. 33(28). 3248–3255. 30 indexed citations

12.

Pearson, Frances E., David A. Muller, Lucy Roalfe, et al.. (2015). Functional anti-polysaccharide IgG titres induced by unadjuvanted pneumococcal-conjugate vaccine when delivered by microprojection-based skin patch. Vaccine. 33(48). 6675–6683. 17 indexed citations

13.

Depelsenaire, Alexandra C. I., Stefano C. Meliga, Celia L. McNeilly, et al.. (2014). Colocalization of Cell Death with Antigen Deposition in Skin Enhances Vaccine Immunogenicity. Journal of Investigative Dermatology. 134(9). 2361–2370. 80 indexed citations

14.

Pearson, Frances E., Celia L. McNeilly, Michael L. Crichton, et al.. (2013). Dry-Coated Live Viral Vector Vaccines Delivered by Nanopatch Microprojections Retain Long-Term Thermostability and Induce Transgene-Specific T Cell Responses in Mice. PLoS ONE. 8(7). e67888–e67888. 59 indexed citations

15.

Carey, J.B., Frances E. Pearson, Anto Vrdoljak, et al.. (2011). Microneedle Array Design Determines the Induction of Protective Memory CD8+ T Cell Responses Induced by a Recombinant Live Malaria Vaccine in Mice. PLoS ONE. 6(7). e22442–e22442. 72 indexed citations

16.

Reyes‐Sandoval, Arturo, Frances E. Pearson, Stephen Todryk, & Katie Ewer. (2009). Potency assays for novel T-cell-inducing vaccines against malaria.. PubMed. 11(1). 72–80. 23 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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