Sarah‐Jane Schramm

14.5k total citations
12 papers, 459 citations indexed

About

Sarah‐Jane Schramm is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Sarah‐Jane Schramm has authored 12 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Sarah‐Jane Schramm's work include Melanoma and MAPK Pathways (7 papers), Cutaneous Melanoma Detection and Management (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sarah‐Jane Schramm is often cited by papers focused on Melanoma and MAPK Pathways (7 papers), Cutaneous Melanoma Detection and Management (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sarah‐Jane Schramm collaborates with scholars based in Australia, Brazil and United States. Sarah‐Jane Schramm's co-authors include Graham J. Mann, Jean Yang, Richard A. Scolyer, John F. Thompson, Anna Campain, Kaushala S. Jayawardana, Varsha Tembe, Gulietta M. Pupo, Vivek Jayaswal and Richard Kefford and has published in prestigious journals such as International Journal of Cancer, Journal of Investigative Dermatology and Oncotarget.

In The Last Decade

Sarah‐Jane Schramm

12 papers receiving 459 citations

Peers

Sarah‐Jane Schramm

ONCOL

IMMUN

CTM

Lotta Lundgren Sweden

Aya Uchiyama Japan

Sandra Bloethner Germany

Janice M. Mehnert United States

Kaori Sakaizawa Japan

Cristi Marin France

Jesse Lyons United States

Aida Shahrabi Netherlands

Simona Frigerio Italy

Hélène Malka-Mahieu France

Lotta Lundgren Sweden

Sarah‐Jane Schramm

253 ×0.7

264 ×1.1

ONCOL

115 ×0.9

78 ×0.7

IMMUN

32 ×0.9

CTM

Citations per year, relative to Sarah‐Jane Schramm Sarah‐Jane Schramm (= 1×) peers Lotta Lundgren

Countries citing papers authored by Sarah‐Jane Schramm

Since Specialization

Citations

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

Fields of papers citing papers by Sarah‐Jane Schramm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah‐Jane Schramm. 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 Sarah‐Jane Schramm. The network helps show where Sarah‐Jane Schramm may publish in the future.

Co-authorship network of co-authors of Sarah‐Jane Schramm

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

All Works

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12 of 12 papers shown

Wang, Kevin, Gulietta M. Pupo, Varsha Tembe, et al.. (2022). Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine. npj Digital Medicine. 5(1). 85–85. 5 indexed citations

Patrick, Ellis, Sarah‐Jane Schramm, John T. Ormerod, et al.. (2016). A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types. Oncotarget. 8(2). 2807–2815. 7 indexed citations

Jayawardana, Kaushala S., Sarah‐Jane Schramm, Varsha Tembe, et al.. (2015). Identification, Review, and Systematic Cross-Validation of microRNA Prognostic Signatures in Metastatic Melanoma. Journal of Investigative Dermatology. 136(1). 245–254. 60 indexed citations

Tembe, Varsha, Sarah‐Jane Schramm, Mitchell Stark, et al.. (2014). MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis. Pigment Cell & Melanoma Research. 28(3). 254–266. 54 indexed citations

Schramm, Sarah‐Jane, et al.. (2014). Network-based biomarkers enhance classical approaches to prognostic gene expression signatures. BMC Systems Biology. 8(S4). S5–S5. 21 indexed citations

Jayawardana, Kaushala S., Sarah‐Jane Schramm, Lauren E. Haydu, et al.. (2014). Determination of prognosis in metastatic melanoma through integration of clinico‐pathologic, mutation, mRNA, microRNA, and protein information. International Journal of Cancer. 136(4). 863–874. 62 indexed citations

Jayaswal, Vivek, Sarah‐Jane Schramm, Graham J. Mann, Marc R. Wilkins, & Jean Yang. (2013). VAN: an R package for identifying biologically perturbed networks via differential variability analysis. BMC Research Notes. 6(1). 430–430. 7 indexed citations

Schramm, Sarah‐Jane, Simone S. Li, Vivek Jayaswal, et al.. (2013). Disturbed protein–protein interaction networks in metastatic melanoma are associated with worse prognosis and increased functional mutation burden. Pigment Cell & Melanoma Research. 26(5). 708–722. 9 indexed citations

Schramm, Sarah‐Jane, Vivek Jayaswal, Simone S. Li, et al.. (2013). Molecular interaction networks for the analysis of human disease: Utility, limitations, and considerations. PROTEOMICS. 13(23-24). 3393–3405. 12 indexed citations

10.

Mann, Graham J., Gulietta M. Pupo, Anna Campain, et al.. (2012). BRAF Mutation, NRAS Mutation, and the Absence of an Immune-Related Expressed Gene Profile Predict Poor Outcome in Patients with Stage III Melanoma. Journal of Investigative Dermatology. 133(2). 509–517. 137 indexed citations

11.

Schramm, Sarah‐Jane & Graham J. Mann. (2011). Melanoma Prognosis: A REMARK-Based Systematic Review and Bioinformatic Analysis of Immunohistochemical and Gene Microarray Studies. Molecular Cancer Therapeutics. 10(8). 1520–1528. 42 indexed citations

12.

Schramm, Sarah‐Jane, Anna Campain, Jean Yang, & Graham J. Mann. (2011). Review and Cross-Validation of Gene Expression Signatures and Melanoma Prognosis. Journal of Investigative Dermatology. 132(2). 274–283. 43 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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