Keith Langley

8.3k citations
97 papers · 6.9k indexed · 2 hit papers · h-index 39

Keith Langley

96 papers receiving 6.6k citations

Hit Papers

Identification, purification, and biological characteriza...72219902026200220144008001.2k

Peers

Keith Langley
Comparison fields: 5 of 132
  • Hematology 1.4k
  • Immunology and Allergy 744
  • Immunology 2.2k
  • Genetics 640
  • Cancer Research 709
Replace Hans-Reimer Rodewald with:
Hans-Reimer Rodewald Germany
Christopher J. Paige Canada
Toshimitsu Matsui Japan
Chi‐Chao Chan United States
N.A. Jenkins United States
Roger L. Eddy United States
Paul E. Love United States
David R. Beier United States
Dimitris Kioussis United Kingdom
Magnus Nordenskjöld Sweden
Keith Langley relative to Hans-Reimer Rodewald Germany Hans-Reimer Rodewald's profile →
Citations per field
00.5×1.5×1.8×
Hans-Reimer Rodewald · 1×
Citations per year

Countries citing papers authored by Keith Langley

Since Specialization
Citations

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

Fields of papers citing papers by Keith Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20075
2 200445
3 2004224
4 200119
5 200016
6 199945
7 1998120
8 199658
9 199624
10 199613
11 199610
12 199517
13 199538
14 199443
15 199461
16 19922
17 199216
18 1991242
19 19914
20 19902

About Keith Langley

Keith Langley is a scholar working on Cell Biology, Developmental Neuroscience and Immunology and Allergy, having authored 97 papers that have together received 6.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Virus-based gene therapy research (10 papers), Lipid Membrane Structure and Behavior (9 papers), Animal Genetics and Reproduction (9 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Mast cells and histamine (8 papers), RNA Interference and Gene Delivery (7 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology and Allergy (744 citations) and Immunology (2.2k citations). Keith Langley has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ian McNiece, K M Zsebo, Krisztina M. Zsebo, Kevin M. Smith, Stephen J. Galli, Jette Wypych, E N Geissler, Nancy J. Grant, David A. Williams and Elizabeth A. Mendiaz. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences, Cell and Tissue Research and Journal of Bacteriology.

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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