S. Kaplanski

1.5k citations
24 papers · 1.2k · h-index 13

Impact in

Papers in

    • T-cell and Retrovirus Studies 4
    • Immunodeficiency and Autoimmune Disorders 4
    • Immune Cell Function and Interaction 2
    • Blood Coagulation and Thrombosis Mechanisms 4
    • Platelet Disorders and Treatments 3

S. Kaplanski

24 papers receiving 1.2k citations

Peers

S. Kaplanski
Comparison fields: 5 of 98
  • Immunology and Allergy 247
  • Hematology 254
  • Immunology 324
  • Parasitology 72
  • Internal Medicine 32
Replace Sheldon M. Cooper with:
Sheldon M. Cooper United States
Evelin Grage‐Griebenow Germany
MA Vadas Australia
Ann H. Rux United States
Lauren J. Lahey United States
Irene Gramaglia United States
B Schleiffenbaum Switzerland
Estelle S. Harris United States
Sachiko Miyagawa Japan
Carole C. Kurman United States
S. Kaplanski relative to Sheldon M. Cooper United States Sheldon M. Cooper's profile →
Citations per field
00.5×5.3×
Sheldon M. Cooper · 1×
Citations per year

Countries citing papers authored by S. Kaplanski

Since Specialization
Citations

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

Fields of papers citing papers by S. Kaplanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998187
2 1994172
3 1993166
4 1997129
5 1995129
6 197992
7 200191
8 199469
9 199130
10 197628
11 198923
12 199819
13 199119
14 198612
15 198311
16 198810
17 19868
18 19966
19 19925
20 19914

About S. Kaplanski

S. Kaplanski is a scholar working on Immunology, Hematology, Immunology and Allergy, Genetics and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), T-cell and Retrovirus Studies (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Platelet Disorders and Treatments (3 papers), Streptococcal Infections and Treatments (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology and Allergy (247 citations), Hematology (254 citations), Immunology (324 citations), Parasitology (72 citations) and Internal Medicine (32 citations). S. Kaplanski has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Catherine Farnarier, Pierre Bongrand, Gilles Kaplanski, Véra Boulay, Valérie Marin, Anne‐Marie Benoliel, C A Dinarello, Reuven Porat, Leland Shapiro and CA Dinarello. Their work appears in journals such as Blood, The Journal of Immunology, Scandinavian Journal of Immunology, Biophysical Journal and Parasite Immunology.

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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