Delphine Javelaud

4.0k citations
36 papers · 3.1k indexed · h-index 26
Topics
TGF-β signaling in diseases (14 papers)Hedgehog Signaling Pathway Studies (8 papers)Melanoma and MAPK Pathways (7 papers)

In The Last Decade

Delphine Javelaud

36 papers receiving 3.0k citations

Peers

Delphine Javelaud
Comparison fields: 5 of 117
  • Molecular Biology 2.1k
  • Oncology 957
  • Cancer Research 453
  • Immunology 356
  • Cell Biology 343
Replace Ramona Graves‐Deal with:
Ramona Graves‐Deal United States
Jens Gille Germany
Georges Uzan France
Azeddine Atfi France
Stela Gengrinovitch Israel
Serhiy Souchelnytskyi Sweden
Annet Hammacher Australia
Wendy C. Weinberg United States
Wadie F. Bahou United States
K T Yeo United States
Delphine Javelaud relative to Ramona Graves‐Deal United States Ramona Graves‐Deal's profile →
Citations per field
00.5×4.8×
Ramona Graves‐Deal · 1×
Citations per year

Countries citing papers authored by Delphine Javelaud

Since Specialization
Citations

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

Fields of papers citing papers by Delphine Javelaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delphine Javelaud

This figure shows the co-authorship network connecting the top 25 collaborators of Delphine Javelaud. A scholar is included among the top collaborators of Delphine Javelaud 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 Delphine Javelaud. Delphine Javelaud 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 12
2 3
3 2
4 1
5 94
6 126
7 63
8 23
9 85
10 111
11 159
12 80
13 344
14 170
15 373
16 15
17 103
18 99
19 23
20 57

About Delphine Javelaud

Delphine Javelaud is a scholar working on Immunology and Allergy, Oncology and Molecular Biology, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Hedgehog Signaling Pathway Studies (8 papers) and Melanoma and MAPK Pathways (7 papers). The work is most often cited by research in Immunology and Allergy (224 citations), Oncology (957 citations) and Molecular Biology (2.1k citations). Delphine Javelaud has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Alain Mauviel, Françoise Besançon, Meinhard Schiller, Vasileia Ismini Alexaki, Theresa A. Guise, Khalid S. Mohammad, Juana Wietzerbin, Carole Y. Perrot, Pierrick G.J. Fournier and Christopher R. McKenna. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

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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