Roslyn A. Kemp

3.0k total citations
94 papers, 2.3k citations indexed

About

Roslyn A. Kemp is a scholar working on Genetics, Immunology and Oncology. According to data from OpenAlex, Roslyn A. Kemp has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 36 papers in Immunology and 22 papers in Oncology. Recurrent topics in Roslyn A. Kemp's work include Genetic and phenotypic traits in livestock (28 papers), Immune Cell Function and Interaction (25 papers) and Immunotherapy and Immune Responses (19 papers). Roslyn A. Kemp is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Immune Cell Function and Interaction (25 papers) and Immunotherapy and Immune Responses (19 papers). Roslyn A. Kemp collaborates with scholars based in New Zealand, Canada and United States. Roslyn A. Kemp's co-authors include J. J. Tosh, Franca Ronchese, D. H. Crews, Kirsten A. Ward‐Hartstonge, Luis Munoz‐Erazo, Sarah Hook, J. W. Wilton, Michael Schultz, Andrew P. R. Sutherland and Tatyana Chtanova and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Roslyn A. Kemp

90 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roslyn A. Kemp New Zealand 28 825 791 483 455 416 94 2.3k
Sushil Kumar India 25 526 0.6× 410 0.5× 391 0.8× 249 0.5× 1.0k 2.5× 131 2.3k
Louis Gazzolo France 29 1.4k 1.7× 440 0.6× 192 0.4× 212 0.5× 758 1.8× 101 2.5k
T Taniguchi Japan 12 502 0.6× 210 0.3× 301 0.6× 344 0.8× 294 0.7× 21 1.3k
Nurul H. Sarkar United States 25 603 0.7× 909 1.1× 348 0.7× 386 0.8× 770 1.9× 81 2.0k
Axel Heiser New Zealand 28 2.3k 2.8× 574 0.7× 1.2k 2.4× 189 0.4× 1.5k 3.5× 91 3.7k
Gabriela Dveksler United States 29 881 1.1× 422 0.5× 210 0.4× 609 1.3× 996 2.4× 69 2.9k
Shijun J. Zheng China 24 985 1.2× 277 0.4× 246 0.5× 265 0.6× 961 2.3× 68 2.3k
Wolfgang Leibold Germany 29 1.3k 1.6× 252 0.3× 784 1.6× 125 0.3× 440 1.1× 142 3.2k
Masmudur M. Rahman United States 24 815 1.0× 721 0.9× 362 0.7× 142 0.3× 634 1.5× 39 1.9k
Martin J. Pearse Australia 36 1.3k 1.6× 739 0.9× 251 0.5× 101 0.2× 1.2k 2.9× 98 3.7k

Countries citing papers authored by Roslyn A. Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Roslyn A. Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roslyn A. Kemp. 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 Roslyn A. Kemp. The network helps show where Roslyn A. Kemp may publish in the future.

Co-authorship network of co-authors of Roslyn A. Kemp

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

All Works

20 of 20 papers shown
1.
Borger, Jessica G, et al.. (2025). Global perspectives to enhance strategies for advancing women in healthcare and STEMM leadership. Immunology and Cell Biology. 103(3). 234–250. 4 indexed citations
2.
Munoz‐Erazo, Luis, et al.. (2025). A novel approach to digital characterisation of Tertiary Lymphoid Structures in colorectal cancer. Frontiers in Immunology. 16. 1500792–1500792. 2 indexed citations
3.
Major, Gretel S., Alessia Longoni, Jeremy Simcock, et al.. (2023). Clinical Applicability of Visible Light‐Mediated Cross‐linking for Structural Soft Tissue Reconstruction. Advanced Science. 10(26). e2300538–e2300538. 11 indexed citations
4.
Hale, John, et al.. (2021). Human Systemic Immune Response to Ingestion of the Oral Probiotic Streptococcus salivarius BLIS K12. Probiotics and Antimicrobial Proteins. 13(6). 1521–1529. 15 indexed citations
6.
Sasada, Reiko, Michael M. Weinstein, David Danko, et al.. (2020). Progress Towards Standardizing Metagenomics: Applying Metagenomic Reference Material to Develop Reproducible Microbial Lysis Methods with Minimum Bias. Journal of Biomolecular Techniques JBT. 31. 3 indexed citations
7.
Munoz‐Erazo, Luis, et al.. (2020). The Intestinal Tumour Microenvironment. Advances in experimental medicine and biology. 1226. 1–22. 11 indexed citations
8.
Miar, Younes, Graham Plastow, S. S. Moore, et al.. (2014). Genetic and phenotypic parameters for carcass and meat quality traits in commercial crossbred pigs1. Journal of Animal Science. 92(7). 2869–2884. 77 indexed citations
9.
Neumann, Silke, et al.. (2014). Activation of the NLRP3 inflammasome is not a feature of all particulate vaccine adjuvants. Immunology and Cell Biology. 92(6). 535–542. 58 indexed citations
10.
Girardin, Adam, John McCall, Michael A. Black, et al.. (2012). Inflammatory and regulatory T cells contribute to a unique immune microenvironment in tumor tissue of colorectal cancer patients. International Journal of Cancer. 132(8). 1842–1850. 33 indexed citations
11.
Caldow, George, et al.. (2007). A survey to estimate the herd level prevalence of paratuberculosis in the dairy herd of the United Kingdom. View. 15(2). 169–171. 5 indexed citations
12.
Jelley‐Gibbs, Dawn M., et al.. (2005). Repeated stimulation of CD4 effector T cells can limit their protective function. The Journal of Experimental Medicine. 201(7). 1101–1112. 77 indexed citations
13.
Begg, Douglas J., Roslyn A. Kemp, & Frank Griffin. (2004). Normal levels of immunocompetence in possums (Trichosurus vulpecula) exposed to different laboratory housing conditions post capture. Immunology and Cell Biology. 82(3). 253–256. 4 indexed citations
14.
Chtanova, Tatyana, Roslyn A. Kemp, Andrew P. R. Sutherland, Franca Ronchese, & Charles R. Mackay. (2001). Gene Microarrays Reveal Extensive Differential Gene Expression in Both CD4+ and CD8+ Type 1 and Type 2 T Cells. The Journal of Immunology. 167(6). 3057–3063. 109 indexed citations
15.
Kemp, Roslyn A. & Franca Ronchese. (2001). Tumor-Specific Tc1, But Not Tc2, Cells Deliver Protective Antitumor Immunity. The Journal of Immunology. 167(11). 6497–6502. 116 indexed citations
16.
Ritchie, David, Ian F. Hermans, Joanne M. Lumsden, et al.. (2000). Dendritic cell elimination as an assay of cytotoxic T lymphocyte activity in vivo. Journal of Immunological Methods. 246(1-2). 109–117. 48 indexed citations
17.
Kemp, Roslyn A., et al.. (1998). DETERMINATION OF AN APPROPRIATE SELECTION CRITERIA FOR GROWTH COMPOSITION IN CHAROLAIS. 52(5). 357–362. 1 indexed citations
18.
Mandell, I. B., E.A. Gullett, J. W. Wilton, Roslyn A. Kemp, & O. B. Allen. (1997). Effects of gender and breed on carcass traits, chemical composition, and palatability attributes in Hereford and Simmental bulls and steers. Livestock Production Science. 49(3). 235–248. 44 indexed citations
19.
Tosh, J. J. & Roslyn A. Kemp. (1994). Estimation of variance components for lamb weights in three sheep populations1. Journal of Animal Science. 72(5). 1184–1190. 178 indexed citations
20.
Amer, P.R., et al.. (1994). A bioeconomic model for comparing beef cattle genotypes at their optimal economic slaughter end point. Journal of Animal Science. 72(1). 38–50. 29 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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