Ries J. Langley

1.2k total citations
27 papers, 914 citations indexed

About

Ries J. Langley is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Ries J. Langley has authored 27 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Infectious Diseases. Recurrent topics in Ries J. Langley's work include Antimicrobial Resistance in Staphylococcus (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Ries J. Langley is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Ries J. Langley collaborates with scholars based in New Zealand, United States and Australia. Ries J. Langley's co-authors include John D. Fraser, Bruce D. Wines, Thomas Proft, Edward N. Baker, Indira Basu, Jo K. Perry, Deepa Patel, Man Lu, Heather M. Baker and Jack U. Flanagan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Immunology.

In The Last Decade

Ries J. Langley

26 papers receiving 903 citations

Peers

Ries J. Langley
Comparison fields: 5 of 85
  • Molecular Biology 385
  • Immunology 371
  • Infectious Diseases 339
  • Radiology, Nuclear Medicine and Imaging 105
  • Microbiology 93
Replace Richard Lipscombe with:
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Brigitte Lemercier France
Kedarnath N. Sastry United States
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Richard Lipscombe Australia View profile →
Citations per field, relative to Ries J. Langley
Ries J. Langley · 1×
Citations per year, relative to Ries J. Langley
Ries J. Langley · 1×

Countries citing papers authored by Ries J. Langley

Since Specialization
Citations

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

Fields of papers citing papers by Ries J. Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ries J. Langley

This figure shows the co-authorship network connecting the top 25 collaborators of Ries J. Langley. A scholar is included among the top collaborators of Ries J. Langley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ries J. Langley. Ries J. Langley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 7
4 2
5 14
6 15
7 12
8 10
9 103
10 32
11 35
12 61
13 37
14 78
15 31
16 63
17 16
18 23
19 13
20 22

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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