Daniel Isnardon

2.0k citations
30 papers · 1.6k indexed · h-index 21
  • Immunology top 5%
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 7
    • Microtubule and mitosis dynamics 7
    • Cellular Mechanics and Interactions 5
    • Hippo pathway signaling and YAP/TAZ 3
  • Hematology top 5%
  • Aging top 10%
  • Oncology top 10%
    • Cancer-related Molecular Pathways 3
    • Glycosylation and Glycoproteins Research 2

Daniel Isnardon

30 papers receiving 1.6k citations

Peers

Daniel Isnardon
Comparison fields: 5 of 103
  • Immunology 580
  • Cell Biology 387
  • Hematology 184
  • Aging 26
  • Oncology 363
Replace Emer Bourke with:
Emer Bourke Ireland
Lynne Lacomis United States
Fumihiko Okumura Japan
Emmanuelle Six France
T Kojima Japan
E Shyam P Reddy United States
Kristen Carlberg United States
Hong Luo United States
Shireen Saleque United States
Giuseppina Giardina Italy
Daniel Isnardon relative to Emer Bourke Ireland Emer Bourke's profile →
Citations per field
00.5×
Emer Bourke · 1×
Citations per year

Countries citing papers authored by Daniel Isnardon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Isnardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Isnardon, 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 Daniel Isnardon Line = papers co-authored together Daniel Isnardon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20217
2 201535
3 201145
4 2005173
5 200412
6 200427
7 20046
8 2003152
9 200355
10 200337
11 2003137
12 200384
13 200245
14 200244
15 200236
16 200155
17 200114
18 2001149
19 199955
20 199813

About Daniel Isnardon

Daniel Isnardon is a scholar working on Aging, Immunology, Cell Biology, Hematology and Biophysics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Microtubule and mitosis dynamics (7 papers), T-cell and B-cell Immunology (7 papers), Cellular Mechanics and Interactions (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer-related Molecular Pathways (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (580 citations), Cell Biology (387 citations), Hematology (184 citations), Aging (26 citations) and Oncology (363 citations). Daniel Isnardon has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Daniel Olive, Béatrice Gaugler, Mohamad Mohty, Daniel Birnbaum, Patrice Dubreuil, Marc Lopez, Christophe Ginestier, Jacques A. Nunès, Sophie Gomez and François Jordier. Their work appears in journals such as Oncogene, Blood, The Journal of Cell Biology, The Journal of Immunology and Journal of Biological Chemistry.

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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