François Iris

1.6k citations
24 papers · 1.3k · h-index 11

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

François Iris

24 papers receiving 1.2k citations

Peers

François Iris
Comparison fields: 5 of 95
  • Physiology 500
  • Genetics 301
  • Endocrinology, Diabetes and Metabolism 152
  • Surgery 378
  • Molecular Biology 609
Replace Tatsuyoshi Kono with:
Tatsuyoshi Kono United States
K. L. Hossner United States
Thomas Laeger Germany
Hiromichi Yokoi Japan
Maggie Chi United States
Cecilia Rojas Chile
Anna Lyubetskaya United States
Carles Roca Spain
David B. West United States
Marı́a J. Bragado Spain
François Iris relative to Tatsuyoshi Kono United States Tatsuyoshi Kono's profile →
Citations per field
00.5×1.5×2.2×
Tatsuyoshi Kono · 1×
Citations per year

Countries citing papers authored by François Iris

Since Specialization
Citations

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

Fields of papers citing papers by François Iris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside François Iris, 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 François Iris Line = papers co-authored together François Iris 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 1992475
2 1997446
3 1993111
4 201056
5 200534
6 199434
7 202225
8 202121
9 201116
10 201113
11 201213
12 20098
13 20087
14 19886
15 19866
16 20215
17 20185
18 20215
19 19845
20 20244

About François Iris

François Iris is a scholar working on Molecular Biology, Genetics, Ecology, Cognitive Neuroscience and Surgery, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), T-cell and B-cell Immunology (2 papers), Neuroendocrine regulation and behavior (2 papers), Computational Drug Discovery Methods (2 papers), Autism Spectrum Disorder Research (2 papers), Estrogen and related hormone effects (2 papers), Bioinformatics and Genomic Networks (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Physiology (500 citations), Genetics (301 citations), Endocrinology, Diabetes and Metabolism (152 citations), Surgery (378 citations) and Molecular Biology (609 citations). François Iris has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include Daniel Cohen, Ruth E. Gimeno, Louis A. Tartaglia, Marlene Dembski, Nanhua Deng, Elizabeth A. Woolf, Stephen J. Ellis, Andrew W. Shyjan, Xun Weng and Carlos J. Gimeno. Their work appears in journals such as Frontiers in Neuroscience, Pharmacopsychiatry, Diabetes, Diabetes Research and Clinical Practice and BMC Psychiatry.

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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