Cordelia Langford

35.6k citations
26 papers · 2.5k indexed · h-index 20
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 4
    • Cancer-related gene regulation 4
    • RNA modifications and cancer 3
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities 5
  • Immunology top 10%
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 3
    • Chromosomal and Genetic Variations 5

Cordelia Langford

26 papers receiving 2.5k citations

Peers

Cordelia Langford
Comparison fields: 5 of 116
  • Cancer Research 420
  • Molecular Biology 1.7k
  • Sensory Systems 119
  • Genetics 591
  • Immunology 372
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Landian Hu China
Hillary F. Massa United States
Waixing Tang United States
Katsuto Hozumi Japan
Elizabeth L. Evans United States
Lingqian Wu China
Christian Schöfer Austria
K. John McLaughlin United States
Masatake Araki Japan
Ramiro Ramírez‐Solis United Kingdom
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Countries citing papers authored by Cordelia Langford

Since Specialization
Citations

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

Fields of papers citing papers by Cordelia Langford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201221
2 2012309
3 201229
4 201055
5 201017
6 200974
7 2009113
8 2009241
9 200823
10 2008470
11 200775
12 200710
13 20071
14 200655
15 2005224
16 200597
17 200397
18 2003186
19 19957
20 1995126

About Cordelia Langford

Cordelia Langford is a scholar working on Sensory Systems, Genetics and Molecular Biology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (420 citations), Molecular Biology (1.7k citations) and Sensory Systems (119 citations). Cordelia Langford has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Peter Ellis, David Vetrie, David K. Jackson, Adrian Bird, Jim Stalker, Chris M. Clee, R. W. Plumb, Helle F. Jørgensen, Sean Humphray and Robert S. Illingworth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

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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