F. Homo

407 citations
24 papers · 347 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3

F. Homo

24 papers receiving 321 citations

Peers

F. Homo
Comparison fields: 5 of 64
  • Immunology 138
  • Behavioral Neuroscience 22
  • Endocrinology, Diabetes and Metabolism 79
  • Genetics 80
  • Hematology 23
Replace Peggy Verdood with:
Peggy Verdood Belgium
J.-F. Savouret France
Kumiko Kojima Japan
M Donnadieu France
Luciana Rocha-Viegas Argentina
Alyson B. Scoltock United States
Yintong Xue China
Nagesha Rao Netherlands
Pearl Chang United States
Rieko Iseki Japan
F. Homo relative to Peggy Verdood Belgium Peggy Verdood's profile →
Citations per field
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Peggy Verdood · 1×
Citations per year

Countries citing papers authored by F. Homo

Since Specialization
Citations

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

Fields of papers citing papers by F. Homo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside F. Homo, 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 F. Homo Line = papers co-authored together F. Homo 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 198040
2 198037
3 197734
4
Prognostic value of steroid receptor determination in leukemia.
197827
5
Heterogeneity of the in vitro responses to glucocorticoids in acute leukemia.
198027
6 197919
7 198019
8 197816
9 197915
10 198114
11 197914
12 198113
13 198013
14 198013
15 198011
16 19819
17 19817
18 19817
19 19784
20
Human thymus cells: effects of glucocorticoids in vitro.
19792

About F. Homo

F. Homo is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (6 papers), Asthma and respiratory diseases (3 papers), T-cell and B-cell Immunology (3 papers), Receptor Mechanisms and Signaling (3 papers), Immune Cell Function and Interaction (3 papers), Cholesterol and Lipid Metabolism (3 papers), Immune Response and Inflammation (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Immunology (138 citations), Behavioral Neuroscience (22 citations), Endocrinology, Diabetes and Metabolism (79 citations), Genetics (80 citations) and Hematology (23 citations). F. Homo has collaborated with scholars based in France and United States. Frequent co-authors include Dominique Duval, Mireille Dardenne, Sylvie Durant, Françoise Picard, C. Evrard, Jacques Hatzfeld, Jean Simon, Didier Gagne, R Zittoun and J. P. Marie. Their work appears in journals such as Cellular Immunology, Biochemical and Biophysical Research Communications, British Journal of Haematology, Endocrinology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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