MC Aubry

20 total papers · 621 total citations
8 papers, 477 citations indexed

About

MC Aubry is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases. According to data from OpenAlex, MC Aubry has authored 8 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in MC Aubry's work include Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers) and Legionella and Acanthamoeba research (1 paper). MC Aubry is often cited by papers focused on Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers) and Legionella and Acanthamoeba research (1 paper). MC Aubry collaborates with scholars based in United States and Thailand. MC Aubry's co-authors include Aaron S. Mansfield, Susan M. Harrington, Haidong Dong, Justin C. Moser, Roxana Dronca, Randall T. Hayden, F. R. Cockerill, J. R. Uhl, Xiang Qian and Marlene K. Hopkins and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Oncogene.

In The Last Decade

MC Aubry

7 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
MC Aubry	301	246	87	71	64	8	477
Nobuaki Hattori	67 0.2×	159 0.6×	91 1.0×	27 0.4×	143 2.2×	12	471
Jacqueline Harrison	116 0.4×	61 0.2×	96 1.1×	13 0.2×	28 0.4×	12	409
Anna August	36 0.1×	127 0.5×	57 0.7×	14 0.2×	120 1.9×	10	518
Jeffrey J. Pollen	76 0.3×	172 0.7×	41 0.5×	13 0.2×	9 0.1×	14	518
Michal Sulikowski	92 0.3×	192 0.8×	97 1.1×	3 0.0×	140 2.2×	11	483
Rien H. J. Van Oers	171 0.6×	58 0.2×	33 0.4×	27 0.4×	184 2.9×	12	497
M B Moore	73 0.2×	42 0.2×	131 1.5×	173 2.4×	17 0.3×	9	432
Masayoshi Fukuda	345 1.1×	48 0.2×	116 1.3×	5 0.1×	50 0.8×	13	538
K.P. Ng	292 1.0×	78 0.3×	23 0.3×	5 0.1×	156 2.4×	6	506
Susan C. Baer	148 0.5×	96 0.4×	152 1.7×	6 0.1×	27 0.4×	13	444

Countries citing papers authored by MC Aubry

Since Specialization

Citations

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

Fields of papers citing papers by MC Aubry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MC Aubry

This figure shows the co-authorship network connecting the top 25 collaborators of MC Aubry. A scholar is included among the top collaborators of MC Aubry 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 MC Aubry. MC Aubry 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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