Jane Reid

513 citations
11 papers · 347 · h-index 8

Impact in

Papers in

Jane Reid

11 papers receiving 336 citations

Peers

Jane Reid
Comparison fields: 5 of 74
  • Microbiology 113
  • Epidemiology 94
  • Immunology 54
  • Statistics, Probability and Uncertainty 18
  • Endocrinology 9
Replace Mohammed R. Abdullah with:
Mohammed R. Abdullah Germany
Sónia André France
В С Соломка Russia
G S Madonna United States
Johanne Brooks United Kingdom
Robert Hopfer United States
Caterina Montaldo Italy
Brett A. Tortelli United States
Mohammad Anwar Hossain United States
Étienne Doré Canada
Jane Reid relative to Mohammed R. Abdullah Germany Mohammed R. Abdullah's profile →
Citations per field
00.5×1.5×1.8×
Mohammed R. Abdullah · 1×
Citations per year

Countries citing papers authored by Jane Reid

Since Specialization
Citations

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

Fields of papers citing papers by Jane Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Reid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Reid Line = papers co-authored together Jane Reid links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010136
2 201551
3 201944
4 202039
5 201827
6 201318
7 201716
8 202012
9
Systematic review of safe level of gluten for people with coeliac disease
20162
10
Report for systematic reviews of the association between different levels and patterns of maternal alcohol consumption during pregnancy and while breastfeeding and selected health outcomes for fetuses and children (up to age five)
20181
11
Systematic review of novel disinfection methods to reduce infection rates in high risk hospitalised populations
20171

About Jane Reid

Jane Reid is a scholar working on Molecular Biology, Organic Chemistry, Pediatrics, Perinatology and Child Health, Epidemiology and Obstetrics and Gynecology, having authored 11 papers that have together received 347 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (1 paper), Gestational Diabetes Research and Management (1 paper), Ubiquitin and proteasome pathways (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Synthesis of β-Lactam Compounds (1 paper), Synthesis and Biological Activity (1 paper), Virology and Viral Diseases (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Microbiology (113 citations), Epidemiology (94 citations), Immunology (54 citations), Statistics, Probability and Uncertainty (18 citations) and Endocrinology (9 citations). Jane Reid has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Jutamas Ngampasutadol, Sanjay Ram, Lisa A. Lewis, Ulrich Vogel, Joanne E. McKenzie, Sue Brennan, Steve McDonald, Jean D. Beggs, J. David Barrass and Carole Lunny. Their work appears in journals such as Canadian Journal of Diabetes, Systematic Reviews, Yeast, Genome biology and Journal of Clinical Epidemiology.

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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