Martin Rossa

1.2k total citations · 1 hit paper
6 papers, 811 citations indexed

About

Martin Rossa is a scholar working on Molecular Biology, Surgery and Astronomy and Astrophysics. According to data from OpenAlex, Martin Rossa has authored 6 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Astronomy and Astrophysics. Recurrent topics in Martin Rossa's work include RNA modifications and cancer (3 papers), DNA and Nucleic Acid Chemistry (2 papers) and RNA and protein synthesis mechanisms (2 papers). Martin Rossa is often cited by papers focused on RNA modifications and cancer (3 papers), DNA and Nucleic Acid Chemistry (2 papers) and RNA and protein synthesis mechanisms (2 papers). Martin Rossa collaborates with scholars based in Germany, Netherlands and Greece. Martin Rossa's co-authors include Thomas Carell, Markus Müller, Marijke Baltissen, Michiel Vermeulen, Phillip J. Hsu, Hendrik G. Stunnenberg, Hailing Shi, Simon Geiger, Chuan He and Pascal W.T.C. Jansen and has published in prestigious journals such as Science, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Martin Rossa

6 papers receiving 803 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.

N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis

2017 427 citations Raghu Ram Edupuganti, Simon Geiger et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Rossa Germany	6	663	188	160	57	48	6	811
Mikhail Abramov Belgium	17	1.1k 1.7×	43 0.2×	86 0.5×	19 0.3×		49	1.2k
Matteo Allegretti Italy	12	423 0.6×	261 1.4×	39 0.2×	25 0.4×	1 0.0×	27	616
H. Yagi Japan	12	380 0.6×	31 0.2×	85 0.5×	25 0.4×		21	634
Shenglong Zhang United States	12	400 0.6×	59 0.3×	63 0.4×	9 0.2×		28	475
Peter E. Nielsen Denmark	8	665 1.0×	44 0.2×	87 0.5×	4 0.1×	2 0.0×	8	763
Jesse C. Cochrane United States	11	914 1.4×	104 0.6×	32 0.2×	11 0.2×		16	966
Hyunsung John Kim United States	7	291 0.4×	99 0.5×	42 0.3×	13 0.2×		7	457
Michelle Nahas United States	10	526 0.8×	87 0.5×	9 0.1×	51 0.9×		20	754
Shipeng Feng China	14	540 0.8×	408 2.2×	4 0.0×	243 4.3×	4 0.1×	33	977
Keyong Zou United States	9	437 0.7×	26 0.1×	30 0.2×	4 0.1×		9	582

Countries citing papers authored by Martin Rossa

Since Specialization

Citations

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

Fields of papers citing papers by Martin Rossa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rossa

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

All Works

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6 of 6 papers shown

1.

Rossa, Martin, et al.. (2020). Potential risk factors for early and late dental implant failure: a retrospective clinical study on 9080 implants. SHILAP Revista de lepidopterología. 6(1). 81–81. 61 indexed citations

2.

Becker, Sidney, Jonas Feldmann, Stefan Wiedemann, et al.. (2019). Unified prebiotically plausible synthesis of pyrimidine and purine RNA ribonucleotides. Science. 366(6461). 76–82. 192 indexed citations

3.

Edupuganti, Raghu Ram, Simon Geiger, Rik G.H. Lindeboom, et al.. (2017). N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis. Nature Structural & Molecular Biology. 24(10). 870–878. 427 indexed citations breakdown →

4.

Kitsera, Nataliya, et al.. (2017). Functional impacts of 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxycytosine at a single hemi-modified CpG dinucleotide in a gene promoter. Nucleic Acids Research. 45(19). 11033–11042. 37 indexed citations

5.

Carell, Thomas, Matthias Q. Kurz, Markus Müller, Martin Rossa, & Fabio Spada. (2017). Nichtkanonische Basen im Genom: die regulative Informationsebene in der DNA. Angewandte Chemie. 130(16). 4377–4394. 13 indexed citations

6.

Carell, Thomas, Matthias Q. Kurz, Markus Müller, Martin Rossa, & Fabio Spada. (2017). Non‐canonical Bases in the Genome: The Regulatory Information Layer in DNA. Angewandte Chemie International Edition. 57(16). 4296–4312. 81 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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