Moritz Smolka

2.7k total citations · 2 hit papers
4 papers, 1.0k citations indexed

About

Moritz Smolka is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Moritz Smolka has authored 4 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Paleontology. Recurrent topics in Moritz Smolka's work include Genomics and Rare Diseases (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Genomics and Phylogenetic Studies (2 papers). Moritz Smolka is often cited by papers focused on Genomics and Rare Diseases (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Genomics and Phylogenetic Studies (2 papers). Moritz Smolka collaborates with scholars based in Austria, United States and United Kingdom. Moritz Smolka's co-authors include Fritz J. Sedlazeck, Philipp Rescheneder, Arndt von Haeseler, Michael C. Schatz, Maria Nattestad, Han Fang, Christos Proukakis, Karl Hong, Luis F. Paulin and Ester Kalef-Ezra and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Genome biology.

In The Last Decade

Moritz Smolka

4 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate detection of complex structural variations using single-molecule sequencing

2018 862 citations Fritz J. Sedlazeck, Philipp Rescheneder et al. Nature Methods profile →
Detection of mosaic and population-level structural variants with Sniffles2

2024 118 citations Moritz Smolka, Luis F. Paulin et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Moritz Smolka Austria	4	705	416	352	127	68	4	1.0k
Glenn Proctor United Kingdom	8	864 1.2×	461 1.1×	221 0.6×	207 1.6×	52 0.8×	12	1.4k
Mitchell R. Vollger United States	11	1.2k 1.7×	557 1.3×	612 1.7×	159 1.3×	103 1.5×	19	1.6k
Xiaoqi Shi China	4	708 1.0×	557 1.3×	268 0.8×	265 2.1×	40 0.6×	8	1.1k
Joshua Paul United States	7	698 1.0×	782 1.9×	186 0.5×	146 1.1×	82 1.2×	7	1.2k
Matthew S. Hestand United States	16	812 1.2×	346 0.8×	221 0.6×	153 1.2×	99 1.5×	26	1.2k
Jarret Glasscock United States	10	627 0.9×	388 0.9×	212 0.6×	99 0.8×	74 1.1×	18	1.1k
Marco Mangone United States	13	1.1k 1.6×	248 0.6×	282 0.8×	157 1.2×	93 1.4×	21	1.4k
Roham Razaghi United States	7	1.0k 1.4×	239 0.6×	437 1.2×	217 1.7×	87 1.3×	7	1.5k
Karen H. Miga United States	17	1.1k 1.5×	429 1.0×	748 2.1×	100 0.8×	74 1.1×	24	1.4k
Alaina Shumate United States	9	761 1.1×	277 0.7×	414 1.2×	110 0.9×	48 0.7×	11	1.1k

Countries citing papers authored by Moritz Smolka

Since Specialization

Citations

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

Fields of papers citing papers by Moritz Smolka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Smolka

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

All Works

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4 of 4 papers shown

1.

Smolka, Moritz, Luis F. Paulin, Christopher M. Grochowski, et al.. (2024). Detection of mosaic and population-level structural variants with Sniffles2. Nature Biotechnology. 42(10). 1571–1580. 118 indexed citations breakdown →

2.

Revilla‐i‐Domingo, Roger, Vinoth Babu Veedin Rajan, Lukas Orel, et al.. (2021). Characterization of cephalic and non-cephalic sensory cell types provides insight into joint photo- and mechanoreceptor evolution. eLife. 10. 13 indexed citations

3.

Sedlazeck, Fritz J., Philipp Rescheneder, Moritz Smolka, et al.. (2018). Accurate detection of complex structural variations using single-molecule sequencing. Nature Methods. 15(6). 461–468. 862 indexed citations breakdown →

4.

Smolka, Moritz, Philipp Rescheneder, Michael C. Schatz, Arndt von Haeseler, & Fritz J. Sedlazeck. (2015). Teaser: Individualized benchmarking and optimization of read mapping results for NGS data. Genome biology. 16(1). 235–235. 18 indexed citations

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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