Julia Langham

1.1k citations
38 papers · 700 · h-index 15

Impact in

Papers in

Julia Langham

36 papers receiving 672 citations

Peers

Julia Langham
Comparison fields: 5 of 116
  • Rheumatology 163
  • Health Informatics 14
  • Neurology 133
  • Immunology 121
  • Statistics, Probability and Uncertainty 34
Replace Marjon H. Cnossen with:
Marjon H. Cnossen Netherlands
Luke A. Perry Australia
Saskia Haitjema Netherlands
Leticia León Spain
Céline Chapelle France
Zhichao Jin China
Hongkun Wang United States
Jessica J. Jalbert United States
Rachel E. Sobel United States
Meghna Jani United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Julia Langham

Since Specialization
Citations

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

Fields of papers citing papers by Julia Langham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Langham, 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 Julia Langham Line = papers co-authored together Julia Langham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200378
2 202058
3 201355
4 200850
5 202146
6 201144
7 202041
8 199938
9 202433
10 201925
11 201522
12
Secondary prevention of cardiovascular disease: a randomised trial of training in information management, evidence-based medicine, both or neither: the PIER trial.
200221
13 201818
14 197016
15 202116
16 202414
17 202113
18 201212
19 200912
20 202311

About Julia Langham

Julia Langham is a scholar working on Rheumatology, Public Health, Environmental and Occupational Health, Epidemiology, General Health Professions and Ophthalmology, having authored 38 papers that have together received 700 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Retinal Diseases and Treatments (4 papers), Machine Learning in Healthcare (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Meta-analysis and systematic reviews (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Health Sciences Research and Education (3 papers). The work is most often cited by research in Rheumatology (163 citations), Health Informatics (14 citations), Neurology (133 citations), Immunology (121 citations) and Statistics, Probability and Uncertainty (34 citations). Julia Langham has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sue Langham, Kathy Rowan, Nick Pooley, Barnabas Desta, Nina Embleton, Xia Wang, Edward R. Hammond, Caroline Goldfrad, Donald Shaw and Graham M. Teasdale. Their work appears in journals such as Ophthalmology, Health Physics, The Lancet Psychiatry, Rheumatology and Therapy and Health Technology Assessment.

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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