F Sigaux

2.2k total citations
43 papers, 1.7k citations indexed

About

F Sigaux is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, F Sigaux has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in F Sigaux's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). F Sigaux is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). F Sigaux collaborates with scholars based in France, United States and Morocco. F Sigaux's co-authors include JM Cayuela, Jennifer L. Berkeley, Marc‐Henri Stern, Michèle Imbert, MT Daniel, C. Sultan, A Madani, F Reyes, V. Leblond and Jean Soulier and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

F Sigaux

43 papers receiving 1.7k citations

Peers

F Sigaux
Comparison fields: 5 of 71
  • Hematology 697
  • Immunology 634
  • Molecular Biology 515
  • Genetics 389
  • Public Health, Environmental and Occupational Health 386
Replace E Tatsumi with:
E Tatsumi Japan
Michihiro Hidaka Japan
Winston Verbi United Kingdom
Hitoshi Suzushima Japan
Tadafumi Iino Japan
I Miyoshi Japan
Atsushi Wakita Japan
W. D. Ludwig Germany
Li Chong Chan Hong Kong
S D Nimer United States
E Tatsumi Japan View profile →
Citations per field, relative to F Sigaux
F Sigaux · 1×
Citations per year, relative to F Sigaux
F Sigaux · 1×

Countries citing papers authored by F Sigaux

Since Specialization
Citations

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

Fields of papers citing papers by F Sigaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Sigaux

This figure shows the co-authorship network connecting the top 25 collaborators of F Sigaux. A scholar is included among the top collaborators of F Sigaux 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 F Sigaux. F Sigaux 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 6
2 65
3 20
4 8
5 8
6 5
7 8
8 76
9
The MTCP-1/c6.1B gene encodes for a cytoplasmic 8 kD protein overexpressed in T cell leukemia bearing a t(X;14) translocation.
30
10 116
11 37
12 13
13 10
14 38
15 11
16 24
17 130
18 64
19
[Refractory anemia and myelodysplasic syndromes].
4
20
[Acquired idiopathic sideroblastic anemia (author's transl)].
2

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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