L. C. Bailey

524 citations
11 papers · 411 · h-index 9

Impact in

  • Rheumatology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Spondyloarthritis Studies and Treatments
    • Hypothalamic control of reproductive hormones

Papers in

    • Growth Hormone and Insulin-like Growth Factors 5
    • Pituitary Gland Disorders and Treatments 2
    • Estrogen and related hormone effects 2
    • Yersinia bacterium, plague, ectoparasites research 1

L. C. Bailey

11 papers receiving 388 citations

Peers

L. C. Bailey
Comparison fields: 5 of 56
  • Rheumatology 108
  • Reproductive Medicine 56
  • Immunology 133
  • Pharmacology 45
  • Endocrinology, Diabetes and Metabolism 74
Replace Dilniya Fattah with:
Dilniya Fattah United Kingdom
A Mitsuoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by L. C. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by L. C. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. C. Bailey. 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 L. C. Bailey. The network helps show where L. C. Bailey may publish in the future.

Co-authors

The 24 scholars most cited alongside L. C. Bailey, 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 L. C. Bailey Line = papers co-authored together L. C. Bailey links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1989147
2
Synovial T lymphocyte recognition of organisms that trigger reactive arthritis.
198992
3 199146
4 198627
5 198523
6 198722
7 198222
8 198615
9 19848
10 19868
11 19861

About L. C. Bailey

L. C. Bailey is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Hypothalamic control of reproductive hormones (4 papers), Pituitary Gland Disorders and Treatments (2 papers), Estrogen and related hormone effects (2 papers), Ovarian function and disorders (2 papers), Mycobacterium research and diagnosis (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Rheumatology (108 citations), Reproductive Medicine (56 citations), Immunology (133 citations), Pharmacology (45 citations) and Endocrinology, Diabetes and Metabolism (74 citations). L. C. Bailey has collaborated with scholars based in United Kingdom. Frequent co-authors include Paul Life, P A Bacon, Hill Gaston, Richard N. Clayton, Kaisa Granfors, R Merilahti-Palo, Auli Toivanen, J. S. Hill Gaston, Nick Viner and Timothy Perren. Their work appears in journals such as Journal of Endocrinology, The Journal of Immunology, Cancer Chemotherapy and Pharmacology, Clinical Endocrinology and Biochemical Society Transactions.

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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