K. M. Gillespie

1.4k total citations
12 papers, 861 citations indexed

About

K. M. Gillespie is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, K. M. Gillespie has authored 12 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Immunology and 3 papers in Surgery. Recurrent topics in K. M. Gillespie's work include Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). K. M. Gillespie is often cited by papers focused on Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). K. M. Gillespie collaborates with scholars based in United Kingdom, Italy and United States. K. M. Gillespie's co-authors include E. A. M. Gale, P. W. Mathieson, Kevin Gaston, Neil Wood, L. Rees, Kar Neng Lai, Peter W. Mathieson, Anna E. Long, Bart O. Roep and Arno R. van der Slik and has published in prestigious journals such as Diabetologia, Cellular and Molecular Life Sciences and Canadian Medical Association Journal.

In The Last Decade

K. M. Gillespie

12 papers receiving 824 citations

Peers

K. M. Gillespie

EDM

GENET

SURGE

IMMUN

MB

Elena Carrasco Chile

Chiara Dal Prà Italy

Päivi Keskinen Finland

Melanie Rodacki Brazil

Fránco Cerutti Italy

Rachel Desailloud France

Agata Chobot Poland

M. Rodier France

Vesna Boraska Perica Croatia

Andrew Gallagher United Kingdom

Elena Carrasco Chile

K. M. Gillespie

213 ×0.6

EDM

355 ×1.0

GENET

155 ×0.6

SURGE

177 ×1.1

IMMUN

160 ×1.3

MB

Citations per year, relative to K. M. Gillespie K. M. Gillespie (= 1×) peers Elena Carrasco

Countries citing papers authored by K. M. Gillespie

Since Specialization

Citations

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

Fields of papers citing papers by K. M. Gillespie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. M. Gillespie. 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 K. M. Gillespie. The network helps show where K. M. Gillespie may publish in the future.

Co-authorship network of co-authors of K. M. Gillespie

This figure shows the co-authorship network connecting the top 25 collaborators of K. M. Gillespie. A scholar is included among the top collaborators of K. M. Gillespie 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 K. M. Gillespie. K. M. Gillespie 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

1.

Johnson, Martin, et al.. (2019). Trisomy 21 is a cause of permanent neonatal diabetes that is autoimmune but not HLA associated. Yearbook of pediatric endocrinology. 1 indexed citations

2.

Wyatt, Rebecca C., Cristina Brigatti, Diego Liberati, et al.. (2018). The first 142 amino acids of glutamate decarboxylase do not contribute to epitopes recognized by autoantibodies associated with Type 1 diabetes. Diabetic Medicine. 35(7). 954–963. 6 indexed citations

3.

Long, Anna E., Arno R. van der Slik, F. Susan Wong, et al.. (2011). An increased frequency of NK cell receptor and HLA-C group 1 combinations in early-onset type 1 diabetes. Diabetologia. 54(12). 3062–3070. 26 indexed citations

4.

Gillespie, K. M.. (2006). Type 1 diabetes: pathogenesis and prevention. Canadian Medical Association Journal. 175(2). 165–170. 240 indexed citations

5.

Rees, L., Neil Wood, K. M. Gillespie, et al.. (2002). The interleukin-10 - 1082 G/A polymorphism: allele frequency in different populations and functional significance. Cellular and Molecular Life Sciences. 59(3). 560–569. 90 indexed citations

6.

Gale, E. A. M. & K. M. Gillespie. (2001). Diabetes and gender. Diabetologia. 44(1). 3–15. 422 indexed citations

7.

Gillespie, K. M., et al.. (2001). Autoimmune diabetes and gender. Bristol Research (University of Bristol). 2 indexed citations

8.

Qasim, Faieza, Catheryne Whittle, K. M. Gillespie, et al.. (2000). Exogenous type-1 cytokines modulate mercury-induced hyper-IgE in the rat. Clinical & Experimental Immunology. 121(1). 17–22. 9 indexed citations

9.

Gillespie, K. M., et al.. (1999). Dinucleotide repeat polymorphisms within the Flt‐1 gene in minimal change nephropathy. European Journal of Immunogenetics. 26(5). 321–323. 8 indexed citations

10.

Gillespie, K. M., et al.. (1999). Interleukin-4 and interleukin-4 receptor polymorphisms in minimal change nephropathy. Clinical Science. 96(6). 665–668. 11 indexed citations

11.

Gillespie, K. M., et al.. (1999). Interleukin-4 and interleukin-4 receptor polymorphisms in minimal change nephropathy. Clinical Science. 96(6). 665–665. 22 indexed citations

12.

Mathieson, P. W. & K. M. Gillespie. (1996). Cloning of a Partial cDNA for Rat Interleukin‐12 (IL‐12) and Analysis of IL‐12 Expression In Vivo. Scandinavian Journal of Immunology. 44(1). 11–14. 24 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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