Stéphanie Lacomme

870 citations
21 papers · 367 indexed · h-index 9

Stéphanie Lacomme

19 papers receiving 358 citations

Peers

Stéphanie Lacomme
Comparison fields: 5 of 63
  • Cancer Research 80
  • Endocrinology, Diabetes and Metabolism 71
  • Genetics 45
  • Health, Toxicology and Mutagenesis 36
  • Neurology 34
Replace Geniece M. Lehmann with:
Geniece M. Lehmann United States
Karolina Zielińska Poland
Sofia S. Pereira Portugal
Maria Francesca Cassarino Italy
Saulo J.A. Felizola Japan
China Nagano Japan
Camila C.G. Linardi United States
Masakazu Souda Japan
Yilun Deng United States
Margret Ehlers Germany
Stéphanie Lacomme relative to Geniece M. Lehmann United States Geniece M. Lehmann's profile →
Citations per field
00.5×3.5×
Geniece M. Lehmann · 1×
Citations per year

Countries citing papers authored by Stéphanie Lacomme

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Lacomme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20233
5 20226
6 20226
7 20218
8 202043
9 20190
10 201924
11 20182
12 201714
13 201555
14 201315
15 201149
16 20094
17 20098
18 20098
19 200920
20 200770

About Stéphanie Lacomme

Stéphanie Lacomme is a scholar working on Cancer Research, Neurology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 367 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (3 papers), Retinoids in leukemia and cellular processes (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Lung Cancer Treatments and Mutations (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Cancer Research (80 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Genetics (45 citations). Stéphanie Lacomme has collaborated with scholars based in France, Greece and Germany. Frequent co-authors include D Belpomme, Philippe Irigaray, Guillaume Gauchotte, J.A. Newby, Jean-Michel Vignaud, Shyue-Fang Battaglia-Hsu, Jean‐Louis Guéant, Amandine Luc, Celso Pouget and Christophe Paris. Their work appears in journals such as The FASEB Journal, International Journal of Molecular Sciences and Cancer Letters.

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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