Suzanne Butcher

677 total citations
7 papers, 518 citations indexed

About

Suzanne Butcher is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Suzanne Butcher has authored 7 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Suzanne Butcher's work include Antifungal resistance and susceptibility (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Suzanne Butcher is often cited by papers focused on Antifungal resistance and susceptibility (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Suzanne Butcher collaborates with scholars based in Australia, United States and Netherlands. Suzanne Butcher's co-authors include Christine A. Wells, Christine O’Carroll, Ruaidhrı́ J. Carmody, Silvia Manzanero, David Hume, Xin Li, Christian Cobbold, Jennifer L. Stow, Helen Blanchard and Judith Salvage-Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Suzanne Butcher

7 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne Butcher Australia	6	288	167	163	128	30	7	518
Nicolás Oscar Amiano Argentina	14	175 0.6×	139 0.8×	127 0.8×	102 0.8×	52 1.7×	22	482
Timothy J. Break United States	14	307 1.1×	203 1.2×	176 1.1×	104 0.8×	19 0.6×	23	593
Ashleigh Howes United Kingdom	8	346 1.2×	104 0.6×	118 0.7×	114 0.9×	32 1.1×	10	543
Luciane Alarcão Dias‐Melicio Brazil	18	281 1.0×	329 2.0×	451 2.8×	103 0.8×	19 0.6×	48	708
Allison K. Scherer United States	10	198 0.7×	199 1.2×	158 1.0×	131 1.0×	11 0.4×	16	425
Verónica Athié-Morales Ireland	6	408 1.4×	70 0.4×	112 0.7×	94 0.7×	60 2.0×	6	602
Changying Jiang United States	6	147 0.5×	124 0.7×	121 0.7×	121 0.9×	15 0.5×	15	393
Tirthankar Mohanty Sweden	14	244 0.8×	71 0.4×	73 0.4×	181 1.4×	28 0.9×	24	538
Po-Chun Tseng Taiwan	15	183 0.6×	113 0.7×	81 0.5×	186 1.5×	33 1.1×	24	508
Chrissy M. Leopold Wager United States	16	324 1.1×	436 2.6×	510 3.1×	156 1.2×	54 1.8×	21	890

Countries citing papers authored by Suzanne Butcher

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne Butcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Butcher

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Butcher. A scholar is included among the top collaborators of Suzanne Butcher 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 Suzanne Butcher. Suzanne Butcher 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:

7 of 7 papers shown

Butcher, Suzanne, et al.. (2025). Efficient generation of human dendritic cells from induced pluripotent stem cell by introducing a feeder-free expansion step for hematopoietic progenitors. Journal of Leukocyte Biology. 117(5). 2 indexed citations

Angel, Paul W., Suzanne Butcher, Jarny Choi, et al.. (2022). The Human Dendritic Cell Atlas: An Integrated Transcriptional Tool to Study Human Dendritic Cell Biology. The Journal of Immunology. 209(12). 2352–2361. 7 indexed citations

Butcher, Suzanne, Christine O’Carroll, Christine A. Wells, & Ruaidhrı́ J. Carmody. (2018). Toll-Like Receptors Drive Specific Patterns of Tolerance and Training on Restimulation of Macrophages. Frontiers in Immunology. 9. 933–933. 85 indexed citations

Imai, Takashi, Takayuki Matsumura, Christine A. Wells, et al.. (2018). Lipoteichoic acid anchor triggers Mincle to drive protective immunity against invasive group AStreptococcusinfection. Proceedings of the National Academy of Sciences. 115(45). E10662–E10671. 43 indexed citations

Rohart, Florian, Elizabeth A. Mason, Nicholas Matigian, et al.. (2016). A molecular classification of human mesenchymal stromal cells. PeerJ. 4. e1845–e1845. 33 indexed citations

Wells, Christine A., Judith Salvage-Jones, Xin Li, et al.. (2008). The Macrophage-Inducible C-Type Lectin, Mincle, Is an Essential Component of the Innate Immune Response to Candida albicans. The Journal of Immunology. 180(11). 7404–7413. 332 indexed citations

Wells, Christine A., Judith Salvage-Jones, Xin Li, et al.. (2008). The Macrophage Inducible c-type lectin, Mincle, is an essential component of the innate-immune response to Candida albicans. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 180(11). 7404–7413. 16 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