S Iscaki

586 citations
34 papers · 486 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses

Papers in

S Iscaki

32 papers receiving 454 citations

Peers

S Iscaki
Comparison fields: 5 of 68
  • Virology 92
  • Immunology 252
  • Radiology, Nuclear Medicine and Imaging 150
  • Periodontics 28
  • Endocrinology 29
Replace Canh P. Quan with:
Canh P. Quan France
Alan S. Graeff United States
R. MacDonald Australia
Wen-Qiang Huang United States
P Tabona United Kingdom
T Lehner United Kingdom
M W Steward United Kingdom
E. Weinmann Germany
J L Hurwitz United States
S E Brown United Kingdom
S Iscaki relative to Canh P. Quan France Canh P. Quan's profile →
Citations per field
00.5×
Canh P. Quan · 1×
Citations per year

Countries citing papers authored by S Iscaki

Since Specialization
Citations

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

Fields of papers citing papers by S Iscaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199775
2 199550
3 199334
4 199326
5 198624
6 197224
7 199222
8 197822
9 199120
10 197817
11 199116
12 199216
13 199615
14 198714
15 199013
16 197910
17 20009
18 19809
19 19868
20 19846

About S Iscaki

S Iscaki is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Genetics and Small Animals, having authored 34 papers that have together received 486 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Diabetes and associated disorders (6 papers), HIV Research and Treatment (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Hepatitis B Virus Studies (3 papers) and Veterinary medicine and infectious diseases (3 papers). The work is most often cited by research in Virology (92 citations), Immunology (252 citations), Radiology, Nuclear Medicine and Imaging (150 citations), Periodontics (28 citations) and Endocrinology (29 citations). S Iscaki has collaborated with scholars based in France and Belgium. Frequent co-authors include J Pillot, Hakim Hocini, J P Bouvet, René Pirès, Jean Bouvet, Laurent Bélec, Pierre Becquart, Morgane Bomsel, M Raynaud and Philippe Bouige. Their work appears in journals such as Immunology Letters, Scandinavian Journal of Immunology, Journal of Immunological Methods, Infection and Immunity and Annals of the Rheumatic Diseases.

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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