Jacqueline Pages

460 total citations
10 papers, 407 citations indexed

About

Jacqueline Pages is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jacqueline Pages has authored 10 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Jacqueline Pages's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Complement system in diseases (3 papers). Jacqueline Pages is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Complement system in diseases (3 papers). Jacqueline Pages collaborates with scholars based in France and United States. Jacqueline Pages's co-authors include A Bussard, Michel Goldberg, Lisa Djavadi‐Ohaniance, Bertrand Friguet, Marc Girard, D. Stéhelin, Maria Marx, Marc Fiszman, David H. DeHeer and Guy Bordenave and has published in prestigious journals such as Journal of Virology, Journal of Immunological Methods and Cellular Immunology.

In The Last Decade

Jacqueline Pages

10 papers receiving 365 citations

Peers

Jacqueline Pages
Comparison fields: 5 of 61
  • Molecular Biology 181
  • Radiology, Nuclear Medicine and Imaging 160
  • Immunology 97
  • Oncology 80
  • Genetics 61
Replace Philomena Hageman with:
Philomena Hageman Netherlands
M. R. Stebbins United States
Leo A. Phillips United States
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D G Harnish Canada
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Philomena Hageman Netherlands View profile →
Citations per field, relative to Jacqueline Pages
Jacqueline Pages · 1×
Citations per year, relative to Jacqueline Pages
Jacqueline Pages · 1×

Countries citing papers authored by Jacqueline Pages

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Pages

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Pages

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Pages. A scholar is included among the top collaborators of Jacqueline Pages 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 Jacqueline Pages. Jacqueline Pages is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1
Pulmonary sarcoidosis: flow cytometry measurement of lung T cell activation.
12
2 213
3 4
4 17
5 10
6 28
7 20
8 49
9 34
10 20

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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