Larbi Amazit

2.5k citations
40 papers · 2.0k · h-index 25

Impact in

Papers in

    • RNA Research and Splicing 5
    • Ubiquitin and proteasome pathways 3
    • Mitochondrial Function and Pathology 3
    • Retinoids in leukemia and cellular processes 2
    • Estrogen and related hormone effects 19

Larbi Amazit

40 papers receiving 2.0k citations

Peers

Larbi Amazit
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 370
  • Reproductive Medicine 163
  • Genetics 558
  • Molecular Biology 1.1k
  • Behavioral Neuroscience 49
Replace Azriel Schmidt with:
Azriel Schmidt United States
Anne Guiochon‐Mantel France
Mary Lynn Duckworth Canada
Rama Soundararajan United States
Svetlana Bajalica‐Lagercrantz Sweden
Dietmar von der Ahe Germany
J W Voss United States
Anne Crozat United States
Shlomit Halachmi Israel
John E. Pawlowski United States
Larbi Amazit relative to Azriel Schmidt United States Azriel Schmidt's profile →
Citations per field
00.5×5.6×
Azriel Schmidt · 1×
Citations per year

Countries citing papers authored by Larbi Amazit

Since Specialization
Citations

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

Fields of papers citing papers by Larbi Amazit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007221
2 2007190
3 2015145
4 2002136
5 2003114
6 2010110
7 200694
8 201582
9 201177
10 201376
11 201870
12 199870
13 200865
14 200654
15 200752
16 201047
17 200342
18 200441
19 201640
20 200638

About Larbi Amazit

Larbi Amazit is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Hormonal Regulation and Hypertension (8 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (3 papers), Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (370 citations), Reproductive Medicine (163 citations), Genetics (558 citations), Molecular Biology (1.1k citations) and Behavioral Neuroscience (49 citations). Larbi Amazit has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bert W. O’Malley, Edwin Milgröm, Anne Guiochon‐Mantel, Marc Lombès, Weiwen Long, Panagiota Karagianni, Jun Qin, Jiemin Wong, David M. Lonard and Anne Guiochon‐Mantel. Their work appears in journals such as Molecular Endocrinology, Molecular Cell, PLoS ONE, Molecular and Cellular Biology and Journal of Biological Chemistry.

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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