Larbi Amazit

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

Impact in

Papers in

Larbi Amazit

40 papers receiving 2.0k citations

Peers

Larbi Amazit
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 406
  • Reproductive Medicine 184
  • Genetics 595
  • Molecular Biology 1.2k
  • Behavioral Neuroscience 53
Replace M. Needham with:
M. Needham United Kingdom
Azriel Schmidt United States
Shlomit Halachmi Israel
Samantha R. Oakes Australia
Anne Crozat United States
Stefan Schmidt Austria
Wenrong Gong China
John E. Pawlowski United States
Yvan Labrie Canada
Marie‐Thérèse Groyer‐Picard France
Larbi Amazit relative to M. Needham United Kingdom M. Needham's profile →
Citations per field
00.5×5.4×
M. Needham · 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-authorship network

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
#Work
1 20251
2 20242
3 20225
4 20206
5 20194
6 201868
7 201814
8 20175
9 20178
10 201640
11 2015140
12 201376
13
Normosmic congenital hypogonadotropic hypogonadism due to TAC3/TACR3 mutations: characterization of neuroendocrine phenotypes and novel mutations
20111
14 201175
15 2010110
16 201046
17 200865
18 200826
19 200616
20 200341

About Larbi Amazit

Larbi Amazit is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Molecular Biology 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 (20 papers), Hormonal Regulation and Hypertension (10 papers), RNA Research and Splicing (5 papers), Adrenal Hormones and Disorders (4 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Reproductive Medicine (184 citations), Genetics (595 citations), Molecular Biology (1.2k citations) and Behavioral Neuroscience (53 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, Jun Qin, Weiwen Long, Jiemin Wong, Panagiota Karagianni, David M. Lonard and Anne Guiochon‐Mantel. Their work appears in journals such as Molecular Endocrinology, Molecular and Cellular Biology, Molecular Cell, Journal of Biological Chemistry and PLoS ONE.

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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