Heather Dyson

687 total citations
8 papers, 602 citations indexed

About

Heather Dyson is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Heather Dyson has authored 8 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Oncology. Recurrent topics in Heather Dyson's work include Viral-associated cancers and disorders (3 papers), Mosquito-borne diseases and control (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Heather Dyson is often cited by papers focused on Viral-associated cancers and disorders (3 papers), Mosquito-borne diseases and control (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Heather Dyson collaborates with scholars based in United Kingdom and United States. Heather Dyson's co-authors include James P. Stewart, Edward J. Usherwood, John K. Fazakerley, Alan Ross, Martina Scallan, Sandra Amor, Kevin R. Oliver, Jeffery T. Sample, S. Mazher Husain and David L. Woodland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Virology.

In The Last Decade

Heather Dyson

8 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather Dyson United Kingdom	7	400	325	144	143	140	8	602
Jeanette Erbo Christensen Denmark	13	126 0.3×	136 0.4×	460 3.2×	87 0.6×	63 0.5×	13	631
Kathleen G. Lanzer United States	11	293 0.7×	122 0.4×	460 3.2×	142 1.0×	78 0.6×	18	750
Jenny L. Hardison United States	9	126 0.3×	60 0.2×	205 1.4×	97 0.7×	98 0.7×	9	426
Sara Botto United States	11	282 0.7×	63 0.2×	214 1.5×	137 1.0×	40 0.3×	16	511
Suzanne P. M. Welten Netherlands	19	419 1.0×	111 0.3×	585 4.1×	77 0.5×	26 0.2×	26	852
Georgina Okecha United Kingdom	12	601 1.5×	103 0.3×	541 3.8×	74 0.5×	27 0.2×	14	850
Jennifer Vomaske United States	8	231 0.6×	53 0.2×	113 0.8×	87 0.6×	81 0.6×	9	366
Frank Ferro United States	7	317 0.8×	188 0.6×	197 1.4×	193 1.3×	18 0.1×	10	607
Beverley J. Randle United Kingdom	9	136 0.3×	200 0.6×	146 1.0×	61 0.4×	26 0.2×	11	444
Lauri Neyer United States	7	254 0.6×	98 0.3×	327 2.3×	33 0.2×	30 0.2×	7	702

Countries citing papers authored by Heather Dyson

Since Specialization

Citations

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

Fields of papers citing papers by Heather Dyson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Dyson

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Dyson. A scholar is included among the top collaborators of Heather Dyson 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 Heather Dyson. Heather Dyson 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

Burgess, Simon, et al.. (2020). Can the ISO 14595 Method be Used to Validate the Heterogeneity and Composition of Natural Mineral Standards Using WDS And/or EDS?. Microscopy and Microanalysis. 26(S2). 1778–1780. 1 indexed citations

Dutia, Bernadette M., James P. Stewart, R.A.E. Clayton, Heather Dyson, & Anthony A. Nash. (1999). Kinetic and phenotypic changes in murine lymphocytes infected with murine gammaherpesvirus-68 in vitro. Journal of General Virology. 80(10). 2729–2736. 21 indexed citations

Husain, S. Mazher, Edward J. Usherwood, Heather Dyson, et al.. (1999). Murine gammaherpesvirus M2 gene is latency-associated and its protein a target for CD8⁺T lymphocytes. Proceedings of the National Academy of Sciences. 96(13). 7508–7513. 108 indexed citations

Stewart, James P., et al.. (1998). Lung Epithelial Cells Are a Major Site of Murine Gammaherpesvirus Persistence. The Journal of Experimental Medicine. 187(12). 1941–1951. 229 indexed citations

Oliver, Kevin R., Martina Scallan, Heather Dyson, & John K. Fazakerley. (1997). Susceptibility to a neurotropic virus and its changing distribution in the developing brain is a function of CNS maturity. Journal of NeuroVirology. 3(1). 38–48. 63 indexed citations

Morris, M.M., Heather Dyson, David Baker, et al.. (1997). Characterization of the cellular and cytokine response in the central nervous system following Semliki Forest virus infection. Journal of Neuroimmunology. 74(1-2). 185–197. 68 indexed citations

Fazakerley, John K., et al.. (1993). Replication of the A7(74) Strain of Semliki Forest Virus Is Restricted in Neurons. Virology. 195(2). 627–637. 106 indexed citations

Hartshorne, Geraldine, Martyn Blayney, Heather Dyson, & Kay Elder. (1990). In vitro fertilization and development of one of two human oocytes with fused zonae pellucidae: case report. Fertility and Sterility. 54(5). 947–949. 6 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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