Kathryn Nash

51 total papers · 899 total citations
25 papers, 430 citations indexed

About

Kathryn Nash is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Kathryn Nash has authored 25 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Hepatology and 5 papers in Molecular Biology. Recurrent topics in Kathryn Nash's work include Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers) and Hepatitis C virus research (9 papers). Kathryn Nash is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers) and Hepatitis C virus research (9 papers). Kathryn Nash collaborates with scholars based in United Kingdom, United States and China. Kathryn Nash's co-authors include Andrew Lever, Graeme Alexander, Andrew Fowell, Damian McKeon, Diana Bilton, Peter Cole, S. Mawdsley, Pallav L. Shah, Paul Cullinan and David J. Lomas and has published in prestigious journals such as Ophthalmology, European Respiratory Journal and The Lancet Infectious Diseases.

In The Last Decade

Kathryn Nash

25 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kathryn Nash	186	135	111	86	64	25	430
H. Schmitt	99 0.5×	55 0.4×	115 1.0×	42 0.5×	82 1.3×	21	461
A C Thomsen	179 1.0×	132 1.0×	52 0.5×	99 1.2×	53 0.8×	33	483
Ángel Robles‐Marhuenda	62 0.3×	42 0.3×	67 0.6×	60 0.7×	56 0.9×	45	465
Eugene P. Flannery	133 0.7×	101 0.7×	81 0.7×	26 0.3×	68 1.1×	17	403
K. Hayashi	183 1.0×	173 1.3×	39 0.4×	65 0.8×	62 1.0×	27	422
A Florio	141 0.8×	122 0.9×	27 0.2×	60 0.7×	76 1.2×	16	416
A Dasgupta	168 0.9×	78 0.6×	37 0.3×	70 0.8×	99 1.5×	16	482
C. H. Tzeng	156 0.8×	82 0.6×	35 0.3×	53 0.6×	43 0.7×	34	487
Chao H. Chan	154 0.8×	116 0.9×	44 0.4×	47 0.5×	87 1.4×	16	468
K Tanikawa	122 0.7×	181 1.3×	36 0.3×	70 0.8×	68 1.1×	22	367

Countries citing papers authored by Kathryn Nash

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn Nash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Nash

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

All Works

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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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