Mario Fasching

25 total papers · 827 total citations
15 papers, 666 citations indexed

About

Mario Fasching is a scholar working on Molecular Biology, Biomaterials and Rheumatology. According to data from OpenAlex, Mario Fasching has authored 15 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomaterials and 3 papers in Rheumatology. Recurrent topics in Mario Fasching's work include Mitochondrial Function and Pathology (4 papers), Porphyrin Metabolism and Disorders (3 papers) and Advanced Cellulose Research Studies (3 papers). Mario Fasching is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Porphyrin Metabolism and Disorders (3 papers) and Advanced Cellulose Research Studies (3 papers). Mario Fasching collaborates with scholars based in Austria, United Kingdom and United States. Mario Fasching's co-authors include Erich Gnaiger, Gerhard Krumschnabel, Jiebing Li, Stéphanie Baumberger, E. de Jong, R.J.A. Gosselink, Bodo Saake, Bo Hortling, Andrea Eigentler and Roger Ibbett and has published in prestigious journals such as Journal of Applied Physiology, Methods in enzymology on CD-ROM/Methods in enzymology and Polymer.

In The Last Decade

Mario Fasching

15 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Mario Fasching	287	264	128	114	82	15	666
Tobechukwu Christian Ezike	200 0.7×	166 0.6×	150 1.2×	117 1.0×	34 0.4×	15	691
Xiaochun Yu	101 0.4×	110 0.4×	82 0.6×	73 0.6×	65 0.8×	43	674
Yang Li	98 0.3×	204 0.8×	147 1.1×	54 0.5×	194 2.4×	24	718
Yi‐Wen Lin	275 1.0×	117 0.4×	171 1.3×	91 0.8×	5 0.1×	25	679
Sergio A. Bernal-Chávez	139 0.5×	156 0.6×	201 1.6×	77 0.7×	93 1.1×	23	731
Naneki C. McCallum	164 0.6×	135 0.5×	99 0.8×	28 0.2×	20 0.2×	16	745
Yeon-Ju Kim	198 0.7×	193 0.7×	93 0.7×	79 0.7×	36 0.4×	23	757
Ruizao Yi	72 0.3×	259 1.0×	351 2.7×	18 0.2×	55 0.7×	22	589
Sandra Chang	278 1.0×	366 1.4×	56 0.4×	157 1.4×	18 0.2×	21	768
Xianwu Liu	198 0.7×	156 0.6×	173 1.4×	100 0.9×	98 1.2×	20	643

Countries citing papers authored by Mario Fasching

Since Specialization

Citations

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

Fields of papers citing papers by Mario Fasching

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Fasching

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