M.-C. Beckers

14 total papers · 664 total citations
10 papers, 525 citations indexed

About

M.-C. Beckers is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, M.-C. Beckers has authored 10 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Endocrinology. Recurrent topics in M.-C. Beckers's work include Legionella and Acanthamoeba research (2 papers), RNA Research and Splicing (2 papers) and Animal Genetics and Reproduction (2 papers). M.-C. Beckers is often cited by papers focused on Legionella and Acanthamoeba research (2 papers), RNA Research and Splicing (2 papers) and Animal Genetics and Reproduction (2 papers). M.-C. Beckers collaborates with scholars based in Belgium, United States and Japan. M.-C. Beckers's co-authors include Alexandra Belayew, Hao Ding, Désiré Collen, Stéphane Plaisance, Silvère M. van der Maarel, Rune R. Frants, George W. Padberg, Jane Hewitt, An S. De Vriese and Kenneth Morgan and has published in prestigious journals such as Nucleic Acids Research, Human Molecular Genetics and Infection and Immunity.

In The Last Decade

M.-C. Beckers

10 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
M.-C. Beckers	416	85	82	76	72	10	525
Saunder Bernes	316 0.8×	107 1.3×	107 1.3×	77 1.0×	54 0.8×	16	496
Takanobu Imanaka	289 0.7×	20 0.2×	154 1.9×	34 0.4×	15 0.2×	19	481
Ali Fathi	338 0.8×	44 0.5×	44 0.5×	28 0.4×	5 0.1×	15	447
Kerstin Klinkert	261 0.6×	27 0.3×	42 0.5×	13 0.2×	54 0.8×	9	508
Jeffrey L. Feldman	297 0.7×	55 0.6×	23 0.3×	37 0.5×	53 0.7×	8	449
Marc P. Fadel	355 0.9×	39 0.5×	75 0.9×	14 0.2×	34 0.5×	12	579
Benjamin Renouf	376 0.9×	82 1.0×	82 1.0×	7 0.1×	14 0.2×	10	542
J. van Reeuwijk	399 1.0×	72 0.8×	83 1.0×	40 0.5×	45 0.6×	6	446
Yie‐Teh Yu	392 0.9×	102 1.2×	45 0.5×	11 0.1×	41 0.6×	10	447
Sisu Han	403 1.0×	61 0.7×	52 0.6×	18 0.2×	9 0.1×	12	493

Countries citing papers authored by M.-C. Beckers

Since Specialization

Citations

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

Fields of papers citing papers by M.-C. Beckers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-C. Beckers. 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 M.-C. Beckers. The network helps show where M.-C. Beckers may publish in the future.

Co-authorship network of co-authors of M.-C. Beckers

This figure shows the co-authorship network connecting the top 25 collaborators of M.-C. Beckers. A scholar is included among the top collaborators of M.-C. Beckers 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 M.-C. Beckers. M.-C. Beckers 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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