Michaël Noë

147 total papers · 4.0k total citations
40 papers, 1.0k citations indexed

About

Michaël Noë is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Michaël Noë has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 10 papers in Cancer Research. Recurrent topics in Michaël Noë's work include Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (10 papers) and Neuroendocrine Tumor Research Advances (5 papers). Michaël Noë is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (10 papers) and Neuroendocrine Tumor Research Advances (5 papers). Michaël Noë collaborates with scholars based in United States, Netherlands and Italy. Michaël Noë's co-authors include Laura D. Wood, Lodewijk A.A. Brosens, Ralph H. Hruban, Seung‐Mo Hong, A. Ayhan, Elizabeth D. Thompson, Ie−Ming Shih, Tian‐Li Wang, G. Johan A. Offerhaus and Alain Verstraete and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Michaël Noë

40 papers receiving 999 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michaël Noë	402	288	186	179	168	40	1.0k
Yuko Sugiyama	343 0.9×	244 0.8×	192 1.0×	95 0.5×	153 0.9×	62	961
W. B�cker	320 0.8×	396 1.4×	168 0.9×	102 0.6×	88 0.5×	43	1.0k
Yu Zhang	244 0.6×	259 0.9×	161 0.9×	95 0.5×	133 0.8×	48	840
Netta Sion‐Vardy	191 0.5×	300 1.0×	141 0.8×	363 2.0×	178 1.1×	33	1.2k
Constantijne H. Mom	423 1.1×	395 1.4×	118 0.6×	166 0.9×	150 0.9×	57	1.1k
Hiroo Tateno	266 0.7×	287 1.0×	301 1.6×	143 0.8×	87 0.5×	38	925
Yanling Feng	205 0.5×	321 1.1×	166 0.9×	213 1.2×	169 1.0×	69	1.0k
Bruno Torchio	278 0.7×	193 0.7×	274 1.5×	85 0.5×	129 0.8×	37	969
Paul N. Staats	197 0.5×	181 0.6×	192 1.0×	136 0.8×	126 0.8×	61	1.0k
A M Ballesta	507 1.3×	351 1.2×	171 0.9×	99 0.6×	116 0.7×	32	928

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-authorship network of co-authors of Michaël Noë

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Noë. A scholar is included among the top collaborators of Michaël Noë 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 Michaël Noë. Michaël Noë is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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