Kathryn A. Elsegood

416 total citations
8 papers, 164 citations indexed

About

Kathryn A. Elsegood is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Kathryn A. Elsegood has authored 8 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Immunology. Recurrent topics in Kathryn A. Elsegood's work include Diabetes and associated disorders (2 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Kathryn A. Elsegood is often cited by papers focused on Diabetes and associated disorders (2 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Kathryn A. Elsegood collaborates with scholars based in United Kingdom and United States. Kathryn A. Elsegood's co-authors include Colin Dayan, Parth Narendran, Nicola Leech, Robert Maile, Alistair J.K. Williams, Seth G. N. Grant, Lianne Stanford, David Fricker, Noboru H. Komiyama and Jess Nithianantharajah and has published in prestigious journals such as Journal of Neuroscience, Annals of the New York Academy of Sciences and European Journal of Pharmacology.

In The Last Decade

Kathryn A. Elsegood

8 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kathryn A. Elsegood United Kingdom	6	71	43	41	32	23	8	164
Valeria Gonzalez‐Nicolini Switzerland	9	175 2.5×	80 1.9×	59 1.4×	18 0.6×	13 0.6×	13	249
Katherine E. Squires United States	8	161 2.3×	95 2.2×	32 0.8×	14 0.4×	24 1.0×	12	246
Matthew T. Schmitz United States	7	146 2.1×	27 0.6×	27 0.7×	9 0.3×	18 0.8×	8	225
Susanna Raitano Belgium	7	148 2.1×	56 1.3×	86 2.1×	11 0.3×	50 2.2×	8	267
Nicholas Rajan Belgium	8	213 3.0×	32 0.7×	98 2.4×	14 0.4×	39 1.7×	12	256
Blandine Esteva France	7	112 1.6×	39 0.9×	88 2.1×	11 0.3×	12 0.5×	8	283
Hyojin Kim United States	9	128 1.8×	40 0.9×	94 2.3×	16 0.5×	36 1.6×	14	231
Afia Sultana United States	9	124 1.7×	69 1.6×	32 0.8×	19 0.6×	9 0.4×	13	300
Tuva Barøy Norway	12	221 3.1×	44 1.0×	161 3.9×	15 0.5×	13 0.6×	21	333
Alicia Nugent United States	4	109 1.5×	69 1.6×	46 1.1×	5 0.2×	14 0.6×	4	214

Countries citing papers authored by Kathryn A. Elsegood

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn A. Elsegood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn A. Elsegood

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

All Works

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8 of 8 papers shown

Lagemaat, Louie N. van de, Lianne Stanford, Douglas Strathdee, et al.. (2016). Standardized experiments in mutant mice reveal behavioural similarity on 129S5 and C57BL / 6J backgrounds. Genes Brain & Behavior. 16(4). 409–418. 5 indexed citations

Coba, Marcelo P., Noboru H. Komiyama, Jess Nithianantharajah, et al.. (2012). TNiK Is Required for Postsynaptic and Nuclear Signaling Pathways and Cognitive Function. Journal of Neuroscience. 32(40). 13987–13999. 77 indexed citations

Dekker, Lodewijk V., Zoe Daniels, Caroline A. Hick, et al.. (2005). Analysis of human Nav1.8 expressed in SH-SY5Y neuroblastoma cells. European Journal of Pharmacology. 528(1-3). 52–58. 20 indexed citations

Narendran, Parth, et al.. (2004). Dendritic cell‐based assays, but not mannosylation of antigen, improves detection of T‐cell responses to proinsulin in type 1 diabetes. Immunology. 111(4). 422–429. 6 indexed citations

Narendran, Parth, Alistair J.K. Williams, Kathryn A. Elsegood, Nicola Leech, & Colin Dayan. (2002). Humoral and cellular immune responses to proinsulin in adults with newly diagnosed type 1 diabetes. Diabetes/Metabolism Research and Reviews. 19(1). 52–59. 28 indexed citations

Narendran, Parth, Kathryn A. Elsegood, Nicola Leech, & Colin Dayan. (2002). Dendritic Cell‐Based Proliferative Assays of Peripheral T Cell Responses to Tetanus Toxoid. Annals of the New York Academy of Sciences. 958(1). 170–174. 5 indexed citations

Dayan, Colin, Kathryn A. Elsegood, & Robert Maile. (1997). Pasl expression on epithelial cells: the Bottazzo-Feldmann hypothesis revisited. Immunology Today. 18(5). 203–203. 22 indexed citations

Collier, Adam J., Kathryn A. Elsegood, W. Andrew Yeudall, et al.. (1996). TGF-β isoforms fail to modulate inositol phosphates and cAMP in normal and tumour-derived human oral keratinocytes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1315(2). 117–122. 1 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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