Mario Fasold

30 total papers · 2.4k total citations
14 papers, 308 citations indexed

About

Mario Fasold is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Mario Fasold has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biophysics. Recurrent topics in Mario Fasold's work include Gene expression and cancer classification (7 papers), RNA Research and Splicing (3 papers) and Genomics and Phylogenetic Studies (3 papers). Mario Fasold is often cited by papers focused on Gene expression and cancer classification (7 papers), RNA Research and Splicing (3 papers) and Genomics and Phylogenetic Studies (3 papers). Mario Fasold collaborates with scholars based in Germany, United States and Austria. Mario Fasold's co-authors include Hans Binder, Peter F. Stadler, David Langenberger, Kristin Reiche, Dominic Rose, Anne Nitsche, Steve Hoffmann, Lydia Hopp, Henry Loeffler‐Wirth and Christian Otto and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Mario Fasold

14 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Mario Fasold	249	132	53	28	26	14	308
Marc Descrimes	311 1.2×	93 0.7×	26 0.5×	24 0.9×	49 1.9×	13	340
Jiasheng Zhong	215 0.9×	161 1.2×	75 1.4×	12 0.4×	26 1.0×	11	334
Ruibin Yan	218 0.9×	103 0.8×	119 2.2×	16 0.6×	25 1.0×	16	340
Bingxue Yan	185 0.7×	137 1.0×	61 1.2×	40 1.4×	35 1.3×	11	283
Kunbin Qu	203 0.8×	88 0.7×	40 0.8×	32 1.1×	9 0.3×	8	306
Weili Quan	155 0.6×	66 0.5×	61 1.2×	16 0.6×	6 0.2×	19	252
Chu‐Jun Liu	305 1.2×	61 0.5×	36 0.7×	42 1.5×	6 0.2×	8	337
Housheng He	279 1.1×	105 0.8×	30 0.6×	43 1.5×	7 0.3×	9	315
Chih‐Hong Lou	257 1.0×	108 0.8×	30 0.6×	27 1.0×	4 0.2×	13	334
Hassaan Mehboob Awan	255 1.0×	123 0.9×	17 0.3×	10 0.4×	21 0.8×	11	321

Countries citing papers authored by Mario Fasold

Since Specialization

Citations

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

Fields of papers citing papers by Mario Fasold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Fasold

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