Nathalie Baeza

2.7k citations
28 papers · 2.2k indexed · 1 hit paper · h-index 17
Topics
Pancreatic function and diabetes (11 papers)Diabetes and associated disorders (8 papers)Glioma Diagnosis and Treatment (5 papers)

In The Last Decade

Nathalie Baeza

27 papers receiving 2.1k citations

Hit Papers

Genetic Pathways to Glioblastoma20042026201120182004250500750

Peers

Nathalie Baeza
Comparison fields: 5 of 95
  • Molecular Biology 1.2k
  • Genetics 887
  • Cancer Research 561
  • Oncology 431
  • Surgery 372
Replace Marco Gessi with:
Marco Gessi Italy
Arend Koch Germany
Brent A. Orr United States
Juan A. Rey Spain
Hendrik Witt Germany
J. M. Bruner United States
Federica Pisati Italy
Logan A. Walsh Canada
Yitzhak Zimmer Switzerland
Fonnet E. Bleeker Netherlands
Nathalie Baeza relative to Marco Gessi Italy Marco Gessi's profile →
Citations per field
00.5×1.5×
Marco Gessi · 1×
Citations per year

Countries citing papers authored by Nathalie Baeza

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Baeza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Baeza

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 43
2 17
3 13
4 3
5 144
6 56
7 30
8 107
9 37
10 3
11
Genetic Pathways to Glioblastomabreakdown →
992
12 107
13 109
14 16
15 6
16 203
17 5
18 16
19 15
20 25

About Nathalie Baeza

Nathalie Baeza is a scholar working on Developmental Neuroscience, Immunology and Allergy and Genetics, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (8 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (887 citations), Cancer Research (561 citations) and Molecular Biology (1.2k citations). Nathalie Baeza has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Paul Kleihues, Hiroko Ohgaki, Yasuhiro Yonekawa, Helena Edlund, Paulo César Maiorka, Paola Pisani, M. Gazi Yaşargil, Danielle Schüler, Urs M. Lütolf and Pierre Dessen. Their work appears in journals such as Nature, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.

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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