Samuel Wormald

1.1k total citations
8 papers, 802 citations indexed

About

Samuel Wormald is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Samuel Wormald has authored 8 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Samuel Wormald's work include Cytokine Signaling Pathways and Interactions (4 papers), interferon and immune responses (2 papers) and Medicinal Plant Pharmacodynamics Research (2 papers). Samuel Wormald is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), interferon and immune responses (2 papers) and Medicinal Plant Pharmacodynamics Research (2 papers). Samuel Wormald collaborates with scholars based in Australia, United States and Switzerland. Samuel Wormald's co-authors include Douglas J. Hilton, Liam O’Connor, Shan Li, Clare Sloggett, Diego Arango, Jennifer L. Wilding, Robert N. Jorissen, Antony W. Burgess, Robert L. Strausberg and David Bicknell and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Samuel Wormald

8 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Wormald Australia 7 408 369 269 141 104 8 802
Tyvette S. Hilliard United States 13 379 0.9× 365 1.0× 198 0.7× 112 0.8× 93 0.9× 25 871
Steve Enkemann United States 6 516 1.3× 473 1.3× 211 0.8× 146 1.0× 145 1.4× 8 895
Lidia Avalle Italy 17 491 1.2× 519 1.4× 413 1.5× 217 1.5× 111 1.1× 25 1.1k
Ana P. Costa‐Pereira United Kingdom 18 506 1.2× 468 1.3× 411 1.5× 138 1.0× 84 0.8× 22 986
Gabriëla Wright United States 15 450 1.1× 636 1.7× 268 1.0× 195 1.4× 130 1.3× 20 1.1k
Sara Pensa United Kingdom 13 563 1.4× 544 1.5× 260 1.0× 215 1.5× 85 0.8× 18 1.1k
Leila N. Varghese Australia 10 512 1.3× 404 1.1× 414 1.5× 83 0.6× 88 0.8× 14 1.1k
Gema Pérez-Chacón Spain 16 220 0.5× 517 1.4× 401 1.5× 122 0.9× 114 1.1× 37 1.0k
Akira Iizuka Japan 19 466 1.1× 403 1.1× 481 1.8× 99 0.7× 40 0.4× 66 1.0k
Keizou Ookawa Japan 15 374 0.9× 449 1.2× 134 0.5× 120 0.9× 137 1.3× 24 756

Countries citing papers authored by Samuel Wormald

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Wormald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Wormald

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

All Works

8 of 8 papers shown
1.
Liu, Haiyin, Christophe Macri, Javiera Villar, et al.. (2022). Ubiquitin-like protein 3 (UBL3) is required for MARCH ubiquitination of major histocompatibility complex class II and CD86. Nature Communications. 13(1). 1934–1934. 20 indexed citations
2.
Wormald, Samuel, Anita Lerch, Dmitri Mouradov, & Liam O’Connor. (2017). Somatic mutation footprinting reveals a unique tetranucleotide signature associated with intron–exon boundaries in lung cancer. Carcinogenesis. 39(2). 225–231. 2 indexed citations
3.
Mouradov, Dmitri, Clare Sloggett, Robert N. Jorissen, et al.. (2014). Colorectal Cancer Cell Lines Are Representative Models of the Main Molecular Subtypes of Primary Cancer. Cancer Research. 74(12). 3238–3247. 287 indexed citations
4.
Wormald, Samuel, Liz Milla, & Liam O’Connor. (2013). Association of candidate single nucleotide polymorphisms with somatic mutation of the epidermal growth factor receptor pathway. BMC Medical Genomics. 6(1). 43–43. 7 indexed citations
5.
Wormald, Samuel & Douglas J. Hilton. (2007). The negative regulatory roles of suppressor of cytokine signaling proteins in myeloid signaling pathways. Current Opinion in Hematology. 14(1). 9–15. 23 indexed citations
6.
Wormald, Samuel, Douglas J. Hilton, Gordon K. Smyth, & Terence P. Speed. (2006). Proximal genomic localization of STAT1 binding and regulated transcriptional activity. BMC Genomics. 7(1). 254–254. 17 indexed citations
7.
Wormald, Samuel, Jian‐Guo Zhang, Danielle L. Krebs, et al.. (2006). The Comparative Roles of Suppressor of Cytokine Signaling-1 and -3 in the Inhibition and Desensitization of Cytokine Signaling. Journal of Biological Chemistry. 281(16). 11135–11143. 101 indexed citations
8.
Wormald, Samuel & Douglas J. Hilton. (2004). Inhibitors of Cytokine Signal Transduction. Journal of Biological Chemistry. 279(2). 821–824. 345 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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