Michaël Noë

40 papers receiving 1.1k citations

Michaël Noë's Hit Papers

A pan-cancer analysis of the microbiome in metastatic cancer 2024 · 116 citations
1160+1Years since publication255075100

Peers

Michaël Noë
Comparison fields: 5 of 91
  • Reproductive Medicine 119
  • Oncology 362
  • Cancer Research 153
  • Obstetrics and Gynecology 66
  • Applied Microbiology and Biotechnology 15
Replace Michele Quaranta with:
Michele Quaranta Italy
Andreas P. Berger Austria
Ilan Bruchim Israel
Alicia Beeghly‐Fadiel United States
Nils Bolstad Norway
Wei Xue China
Yanling Feng China
Yuko Kitagawa Japan
San‐Gang Wu China
Michaël Noë relative to Michele Quaranta Italy Michele Quaranta's profile →
Citations per field
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Michele Quaranta · 1×
Citations per year

Countries citing papers authored by Michaël Noë

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Noë

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A pan-cancer analysis of the microbiome in metastatic cancer
Hit paper breakdown →
2024116
2 200687
3 201980
4 201877
5 201767
6 201858
7 201352
8 201944
9 201435
10 201634
11 201834
12 201833
13 201933
14 201727
15 202325
16 202024
17 198722
18 202020
19 200616
20 201815

About Michaël Noë

Michaël Noë is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Cancer Genomics and Diagnostics (10 papers), Pancreatitis Pathology and Treatment (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Renal cell carcinoma treatment (3 papers), Cancer Cells and Metastasis (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Reproductive Medicine (119 citations), Oncology (362 citations), Cancer Research (153 citations), Obstetrics and Gynecology (66 citations) and Applied Microbiology and Biotechnology (15 citations). Michaël Noë has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Laura D. Wood, Lodewijk A.A. Brosens, Ralph H. Hruban, Seung‐Mo Hong, Ie‐Ming Shih, Elizabeth D. Thompson, A. Ayhan, Tian‐Li Wang, G. Johan A. Offerhaus and Jason A. Roberts. Their work appears in journals such as The Journal of Pathology, Pancreatology, Journal of Antimicrobial Chemotherapy, Bulletin of Environmental Contamination and Toxicology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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