Nasséra Abermil

1.8k total citations · 1 hit paper
15 papers, 950 citations indexed

About

Nasséra Abermil is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Nasséra Abermil has authored 15 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Nasséra Abermil's work include Adrenal and Paraganglionic Tumors (5 papers), Hormonal Regulation and Hypertension (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Nasséra Abermil is often cited by papers focused on Adrenal and Paraganglionic Tumors (5 papers), Hormonal Regulation and Hypertension (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Nasséra Abermil collaborates with scholars based in France, United States and French Polynesia. Nasséra Abermil's co-authors include Nelly Burnichon, Anne‐Paule Gimenez‐Roqueplo, Alexandre Buffet, Judith Favier, Jérôme Bertherat, Laurence Amar, Céline Loriot, Éric Letouzé, Chris Ottolenghi and Aurélien de Reyniès and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Cancer Cell.

In The Last Decade

Nasséra Abermil

15 papers receiving 934 citations

Hit Papers

SDH Mutations Establish a Hypermethylator Phenotype in Pa... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Nasséra Abermil
Comparison fields: 5 of 66
  • Cancer Research 606
  • Surgery 450
  • Molecular Biology 379
  • Endocrinology, Diabetes and Metabolism 343
  • Neurology 89
Replace Steve Smith with:
Steve Smith United States
Matti L. Gild Australia
Sally Baron‐Hay Australia
C. A. Angeletti Italy
Akihiro Ohmoto Japan
Chuanming Zheng China
Nicholas Nissen United States
Venessa Tsang Australia
T Brown United States
Jonathan White United Kingdom
Steve Smith United States View profile →
Citations per field, relative to Nasséra Abermil
Nasséra Abermil · 1×
Citations per year, relative to Nasséra Abermil
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Countries citing papers authored by Nasséra Abermil

Since Specialization
Citations

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

Fields of papers citing papers by Nasséra Abermil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasséra Abermil

This figure shows the co-authorship network connecting the top 25 collaborators of Nasséra Abermil. A scholar is included among the top collaborators of Nasséra Abermil 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 Nasséra Abermil. Nasséra Abermil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 11
3 38
4 34
5 2
6 3
7 7
8
SDH Mutations Establish a Hypermethylator Phenotype in Paraganglioma breakdown →
551
9 106
10 28
11 42
12 87
13 25
14 5
15 9

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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