Janet M. Higgs

547 total citations
10 papers, 388 citations indexed

About

Janet M. Higgs is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Janet M. Higgs has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Janet M. Higgs's work include Antifungal resistance and susceptibility (5 papers), Infectious Diseases and Mycology (2 papers) and Nail Diseases and Treatments (2 papers). Janet M. Higgs is often cited by papers focused on Antifungal resistance and susceptibility (5 papers), Infectious Diseases and Mycology (2 papers) and Nail Diseases and Treatments (2 papers). Janet M. Higgs collaborates with scholars based in United Kingdom, Thailand and Ireland. Janet M. Higgs's co-authors include R S Wells, Helgi Valdimarsson, P.J. Holt, M. Yamamura, J R Hobbs, Angus W. MacDonald, Robert M. Kovatch, John Preston, B. T. Wellde and Terry Smith and has published in prestigious journals such as British Journal of Dermatology, Journal of Medical Genetics and Cellular Immunology.

In The Last Decade

Janet M. Higgs

10 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet M. Higgs United Kingdom 7 192 164 106 38 37 10 388
C Drobacheff France 14 298 1.6× 368 2.2× 94 0.9× 27 0.7× 70 1.9× 41 748
K Katoch India 13 574 3.0× 425 2.6× 85 0.8× 28 0.7× 56 1.5× 98 703
Anna J. Mamo United States 4 175 0.9× 149 0.9× 214 2.0× 12 0.3× 41 1.1× 5 363
Paul Fasal United States 12 318 1.7× 227 1.4× 45 0.4× 14 0.4× 20 0.5× 26 412
PaulS. Lietman United States 5 74 0.4× 245 1.5× 59 0.6× 34 0.9× 38 1.0× 7 408
Candan Tunçer Türkiye 13 128 0.7× 131 0.8× 35 0.3× 111 2.9× 71 1.9× 29 539
Elena Seoane Spain 10 93 0.5× 60 0.4× 114 1.1× 38 1.0× 118 3.2× 16 453
Luciana Tissi Italy 14 97 0.5× 195 1.2× 133 1.3× 10 0.3× 85 2.3× 24 584
B Galanti Italy 11 114 0.6× 253 1.5× 43 0.4× 13 0.3× 59 1.6× 52 460
S Nardiello Italy 8 96 0.5× 123 0.8× 46 0.4× 12 0.3× 74 2.0× 36 399

Countries citing papers authored by Janet M. Higgs

Since Specialization
Citations

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

Fields of papers citing papers by Janet M. Higgs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet M. Higgs

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

All Works

10 of 10 papers shown
1.
Higgs, Janet M. & R S Wells. (2006). Chronic muco-cutaneous candidiasis: new approaches to treatment. British Journal of Dermatology. 89(2). 179–190. 5 indexed citations
2.
Wellde, B. T., et al.. (1989). Trypanosoma congolense: erythrocyte indices, plasma iron turnover and effects of treatment in infected cattle. Annals of Tropical Medicine and Parasitology. 83(sup1). 201–206. 8 indexed citations
3.
Higgs, Janet M., Paul D. Smith, & Terry Smith. (1976). Measurement of 59Fe absorption and retention in patients with familial chronic muco-cutaneous candidiasis using the method of whole body counting. Clinical and Experimental Dermatology. 1(4). 369–376. 4 indexed citations
4.
Higgs, Janet M. & R S Wells. (1974). [Classification of chronic mucocutaneous candidiasis with observations on the clinical picture and its therapy].. PubMed. 25(4). 159–65. 10 indexed citations
5.
Higgs, Janet M.. (1973). Mucocutaneous Candidiasis. Proceedings of the Royal Society of Medicine. 66(8). 802–804. 9 indexed citations
6.
Valdimarsson, Helgi, Janet M. Higgs, R S Wells, et al.. (1973). Immune abnormalities associated with chronic mucocutaneous candidiasis. Cellular Immunology. 6(3). 348–361. 145 indexed citations
7.
Higgs, Janet M.. (1973). Chronic mucocutaneous candidiasis: iron deficiency and the effects of iron therapy.. PubMed. 66(8). 802–4. 13 indexed citations
8.
Higgs, Janet M. & R S Wells. (1972). CHRONIC MUCO-CUTANEOUS CANDIDIASIS: ASSOCIATED ABNORMALITIES OF IRON METABOLISM. British Journal of Dermatology. 86(s8). 88–102. 120 indexed citations
9.
Holt, P.J., Janet M. Higgs, Janet Munro, & Helgi Valdimarsson. (1972). Chronic Mucocutaneous Candidiasis: a Model for the Investigation of Cell Mediated Immunity. International Journal of Clinical Practice. 26(7). 331–336. 3 indexed citations
10.
Wells, R S, Janet M. Higgs, Angus W. MacDonald, Helgi Valdimarsson, & P.J. Holt. (1972). Familial chronic muco-cutaneous candidiasis.. Journal of Medical Genetics. 9(3). 302–310. 71 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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