J.P. Salier

636 citations
30 papers · 579 · h-index 12

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
    • Complement system in diseases

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Protein Kinase Regulation and GTPase Signaling 4
    • Protein purification and stability 3
    • Immunodeficiency and Autoimmune Disorders 3
    • T-cell and B-cell Immunology 2

J.P. Salier

30 papers receiving 538 citations

Peers

J.P. Salier
Comparison fields: 5 of 73
  • Hematology 144
  • Immunology 157
  • Immunology and Allergy 39
  • Genetics 65
  • Radiology, Nuclear Medicine and Imaging 94
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L Tesio Italy
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Citations per field
00.5×3.5×
Greenberger Js · 1×
Citations per year

Countries citing papers authored by J.P. Salier

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Salier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199377
2 198177
3 198864
4 199057
5 198042
6 199042
7 200936
8 197929
9 199925
10
Recombination, mutation, or constitutive expression at a Gm locus and familial hypergammaglobulinemia.
197722
11 198521
12
A CAT expression vector with virtually no background: pUMSVOCAT.
198916
13 19988
14 19837
15 19887
16 19776
17 19836
18 19816
19 19885
20 19975

About J.P. Salier

J.P. Salier is a scholar working on Molecular Biology, Immunology, Hematology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 30 papers that have together received 579 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hemophilia Treatment and Research (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Protein purification and stability (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (144 citations), Immunology (157 citations), Immunology and Allergy (39 citations), Genetics (65 citations) and Radiology, Nuclear Medicine and Imaging (94 citations). J.P. Salier has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Kotoku Kurachi, S Hirosawa, Janardan P. Pandey, H. Hugh Fudenberg, J M Goust, Maryvonne Daveau, Martine Hiron, Michel Scotté, Hiroshi Kusumoto and F S Hagen. Their work appears in journals such as Nucleic Acids Research, Journal of Immunological Methods, International Journal of Immunogenetics, Proceedings of the National Academy of Sciences and Analytical Biochemistry.

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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