Thomas Hussenet

2.0k citations
16 papers · 1.5k indexed · h-index 14

Impact in

Papers in

Thomas Hussenet

16 papers receiving 1.5k citations

Peers

Thomas Hussenet
Comparison fields: 5 of 90
  • Immunology and Allergy 234
  • Cancer Research 333
  • Oncology 557
  • Cell Biology 235
  • Molecular Biology 907
Replace Bettina Hartenstein with:
Bettina Hartenstein Germany
Kieran T. Mellody United Kingdom
Cédric Zeltz Norway
Patricia B. Lindquist United States
Kerstin Tiedemann Canada
Lior Zilberberg United States
Keiko Funa Sweden
Hela Gitay-Goren Israel
Sheila Bryson United Kingdom
Elena Makareeva United States
Thomas Hussenet relative to Bettina Hartenstein Germany Bettina Hartenstein's profile →
Citations per field
00.5×1.5×1.8×
Bettina Hartenstein · 1×
Citations per year

Countries citing papers authored by Thomas Hussenet

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hussenet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201782
2 201673
3 201632
4 201432
5 201441
6 201453
7 201411
8 2011262
9 201116
10 2010247
11 201088
12 201014
13 2008480
14 200616
15 20065
16
Amplicon mapping and transcriptional analysis pinpoint cyclin L as a candidate oncogene in head and neck cancer.
200263

About Thomas Hussenet

Thomas Hussenet is a scholar working on Immunology and Allergy, Cancer Research, Cell Biology, Oncology and Genetics, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Cells and Metastasis (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology and Allergy (234 citations), Cancer Research (333 citations), Oncology (557 citations), Cell Biology (235 citations) and Molecular Biology (907 citations). Thomas Hussenet has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Gertraud Orend, Stanislas du Manoir, Benoît Langlois, Joerg Huelsken, Kim S. Midwood, Marcel Huber, Daniel Metzger, Daniel Hohl, Walter Birchmeier and Deepika Kassen. Their work appears in journals such as Cell Cycle, Oncotarget, Cell Reports, PLoS ONE and British Journal of Cancer.

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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