Nicolas Di-Poı̈

2.2k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Nicolas Di-Poı̈ is a scholar working on Molecular Biology, Paleontology and Global and Planetary Change. According to data from OpenAlex, Nicolas Di-Poı̈ has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Paleontology and 9 papers in Global and Planetary Change. Recurrent topics in Nicolas Di-Poı̈'s work include Amphibian and Reptile Biology (9 papers), NF-κB Signaling Pathways (7 papers) and Evolution and Paleontology Studies (6 papers). Nicolas Di-Poı̈ is often cited by papers focused on Amphibian and Reptile Biology (9 papers), NF-κB Signaling Pathways (7 papers) and Evolution and Paleontology Studies (6 papers). Nicolas Di-Poı̈ collaborates with scholars based in Finland, Switzerland and France. Nicolas Di-Poı̈'s co-authors include Walter Wahli, Liliane Michalik, Béatrice Desvergne, Michel C. Milinkovitch, Nguan Soon Tan, Denis Duboule, Juan I. Montoya‐Burgos, Brian A. Hemmings, Zhongzhou Yang and Kristin Mahlow and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Nicolas Di-Poı̈

38 papers receiving 1.6k citations

Hit Papers

The macroevolutionary singularity of snakes 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Di-Poı̈ Finland 22 1.0k 243 217 206 190 38 1.7k
Hiroshi Tarui Japan 24 1.5k 1.5× 431 1.8× 155 0.7× 268 1.3× 540 2.8× 36 2.1k
Ernesto Maldonado Mexico 16 705 0.7× 121 0.5× 139 0.6× 54 0.3× 157 0.8× 38 1.2k
Andrew Box United States 17 991 1.0× 199 0.8× 129 0.6× 75 0.4× 130 0.7× 35 1.5k
James R. Monaghan United States 22 1.0k 1.0× 168 0.7× 43 0.2× 89 0.4× 186 1.0× 49 1.7k
Masataka Okabe Japan 26 2.0k 1.9× 45 0.2× 66 0.3× 292 1.4× 368 1.9× 80 2.9k
Jeremy J. Gibson‐Brown United States 18 1.7k 1.6× 162 0.7× 124 0.6× 64 0.3× 587 3.1× 22 2.0k
Pamela C. Yelick United States 26 1.5k 1.4× 49 0.2× 97 0.4× 119 0.6× 585 3.1× 54 2.3k
Henry Roehl United Kingdom 20 1.4k 1.4× 62 0.3× 59 0.3× 152 0.7× 312 1.6× 31 2.0k
Emi Murayama Japan 18 564 0.5× 218 0.9× 68 0.3× 82 0.4× 91 0.5× 31 1.9k

Countries citing papers authored by Nicolas Di-Poı̈

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Di-Poı̈

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Di-Poı̈. 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 Nicolas Di-Poı̈. The network helps show where Nicolas Di-Poı̈ may publish in the future.

Co-authorship network of co-authors of Nicolas Di-Poı̈

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Di-Poı̈. A scholar is included among the top collaborators of Nicolas Di-Poı̈ 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 Nicolas Di-Poı̈. Nicolas Di-Poı̈ 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
1.
Khannoon, Eraqi R., et al.. (2024). Dynamic evolutionary interplay between ontogenetic skull patterning and whole-head integration. Nature Ecology & Evolution. 8(3). 536–551. 8 indexed citations
2.
Di-Poı̈, Nicolas, et al.. (2023). Reconstructing the origin and early evolution of the snake brain. Science Advances. 9(39). eadi6888–eadi6888. 4 indexed citations
3.
Di-Poı̈, Nicolas, et al.. (2023). A landmarking protocol for geometric morphometric analysis of squamate endocasts. The Anatomical Record. 306(10). 2425–2442. 4 indexed citations
4.
Corfe, Ian J., et al.. (2021). Multiple evolutionary origins and losses of tooth complexity in squamates. Nature Communications. 12(1). 21 indexed citations
5.
Khan, Imran, et al.. (2021). The developmental origins of heterodonty and acrodonty as revealed by reptile dentitions. Science Advances. 7(51). eabj7912–eabj7912. 9 indexed citations
6.
Di-Poı̈, Nicolas, et al.. (2020). Heterochronic Developmental Shifts Underlying Squamate Cerebellar Diversity Unveil the Key Features of Amniote Cerebellogenesis. Frontiers in Cell and Developmental Biology. 8. 593377–593377. 4 indexed citations
7.
Savriama, Yoland, et al.. (2019). Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization. Nature Communications. 10(1). 5560–5560. 34 indexed citations
9.
Cooper, Rory L., et al.. (2019). Conserved gene signalling and a derived patterning mechanism underlie the development of avian footpad scales. EvoDevo. 10(1). 19–19. 20 indexed citations
10.
Fabre, Anne‐Claire, Yoland Savriama, Kristin Mahlow, et al.. (2018). The ecological origins of snakes as revealed by skull evolution. Nature Communications. 9(1). 376–376. 82 indexed citations
11.
Di-Poı̈, Nicolas, et al.. (2017). Super-sizing teeth – from mice to elephants. Mechanisms of Development. 145. S105–S105. 1 indexed citations
12.
Di-Poı̈, Nicolas & Michel C. Milinkovitch. (2013). Crocodylians evolved scattered multi-sensory micro-organs. EvoDevo. 4(1). 19–19. 50 indexed citations
13.
Milinkovitch, Michel C., et al.. (2012). Crocodile Head Scales Are Not Developmental Units But Emerge from Physical Cracking. Science. 339(6115). 78–81. 83 indexed citations
14.
Di-Poı̈, Nicolas, Ute Koch, Freddy Radtke, & Denis Duboule. (2010). Additive and global functions of HoxA cluster genes in mesoderm derivatives. Developmental Biology. 341(2). 488–498. 27 indexed citations
15.
Di-Poı̈, Nicolas, Juan I. Montoya‐Burgos, Hilary Miller, et al.. (2010). Changes in Hox genes’ structure and function during the evolution of the squamate body plan. Nature. 464(7285). 99–103. 126 indexed citations
16.
Di-Poı̈, Nicolas, Juan I. Montoya‐Burgos, & Denis Duboule. (2009). Atypical relaxation of structural constraints in Hox gene clusters of the green anole lizard. Genome Research. 19(4). 602–610. 44 indexed citations
17.
Di-Poı̈, Nicolas, József Zákány, & Denis Duboule. (2007). Distinct Roles and Regulations for Hoxd Genes in Metanephric Kidney Development. PLoS Genetics. 3(12). e232–e232. 43 indexed citations
18.
Di-Poı̈, Nicolas, Béatrice Desvergne, Liliane Michalik, & Walter Wahli. (2005). Transcriptional Repression of Peroxisome Proliferator-activated Receptor β/δ in Murine Keratinocytes by CCAAT/Enhancer-binding Proteins. Journal of Biological Chemistry. 280(46). 38700–38710. 40 indexed citations
19.
Tan, Nguan Soon, Liliane Michalik, Nicolas Di-Poı̈, et al.. (2004). Essential role of Smad3 in the inhibition of inflammation‐induced PPARβ/δ expression. The EMBO Journal. 23(21). 4211–4221. 66 indexed citations
20.
Di-Poı̈, Nicolas, Nguan Soon Tan, Liliane Michalik, Walter Wahli, & Béatrice Desvergne. (2002). Antiapoptotic Role of PPARβ in Keratinocytes via Transcriptional Control of the Akt1 Signaling Pathway. Molecular Cell. 10(4). 721–733. 282 indexed citations

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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