V. A. Simossis

2.9k total citations
11 papers, 1.9k citations indexed

About

V. A. Simossis is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, V. A. Simossis has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cancer Research and 3 papers in Materials Chemistry. Recurrent topics in V. A. Simossis's work include Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (3 papers) and MicroRNA in disease regulation (3 papers). V. A. Simossis is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (3 papers) and MicroRNA in disease regulation (3 papers). V. A. Simossis collaborates with scholars based in Netherlands, United States and Greece. V. A. Simossis's co-authors include Jaap Heringa, Martin Reczko, Artemis G. Hatzigeorgiou, Giorgio L. Papadopoulos, Praveen Sethupathy, Kuang Lin, Manolis Maragkakis, Nectarios Koziris, Theodore Dalamagas and Evangelos Koukis and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

V. A. Simossis

11 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. A. Simossis Netherlands	11	1.5k	877	122	115	112	11	1.9k
Bogdan Polevoda United States	22	2.4k 1.6×	240 0.3×	107 0.9×	79 0.7×	139 1.2×	31	2.8k
Sharona Elgavish Israel	19	934 0.6×	305 0.3×	172 1.4×	225 2.0×	147 1.3×	40	1.6k
Jennifer F. Kugel United States	25	2.5k 1.6×	803 0.9×	222 1.8×	167 1.5×	317 2.8×	62	3.0k
André P. Gerber Switzerland	32	4.2k 2.8×	570 0.6×	129 1.1×	162 1.4×	212 1.9×	57	4.5k
Stephen C. Pak United States	25	846 0.6×	427 0.5×	135 1.1×	212 1.8×	77 0.7×	53	1.9k
Andrew P. VanDemark United States	23	1.7k 1.1×	193 0.2×	100 0.8×	101 0.9×	115 1.0×	42	2.0k
Emanuele Alpi United Kingdom	11	1.6k 1.0×	242 0.3×	149 1.2×	221 1.9×	255 2.3×	14	2.3k
Inbal Paz Israel	9	1.6k 1.0×	169 0.2×	241 2.0×	131 1.1×	80 0.7×	9	1.9k
Claudia Quedenau Germany	14	1.5k 1.0×	894 1.0×	88 0.7×	183 1.6×	94 0.8×	16	1.8k
Fenghua Yuan United States	25	1.5k 1.0×	410 0.5×	180 1.5×	293 2.5×	360 3.2×	59	2.2k

Countries citing papers authored by V. A. Simossis

Since Specialization

Citations

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

Fields of papers citing papers by V. A. Simossis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. A. Simossis. 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 V. A. Simossis. The network helps show where V. A. Simossis may publish in the future.

Co-authorship network of co-authors of V. A. Simossis

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

All Works

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11 of 11 papers shown

Bolukbasi, Ekin, Sharron Vass, Neville Cobbe, et al.. (2012). Drosophila poly suggests a novel role for the Elongator complex in insulin receptor–target of rapamycin signalling. Open Biology. 2(1). 110031–110031. 14 indexed citations

Maragkakis, Manolis, Panagiotis Alexiou, Giorgio L. Papadopoulos, et al.. (2009). Accurate microRNA target prediction correlates with protein repression levels. BMC Bioinformatics. 10(1). 295–295. 272 indexed citations

Maragkakis, Manolis, Martin Reczko, V. A. Simossis, et al.. (2009). DIANA-microT web server: elucidating microRNA functions through target prediction. Nucleic Acids Research. 37(Web Server). W273–W276. 454 indexed citations

Papadopoulos, Giorgio L., Martin Reczko, V. A. Simossis, Praveen Sethupathy, & Artemis G. Hatzigeorgiou. (2008). The database of experimentally supported targets: a functional update of TarBase. Nucleic Acids Research. 37(Database). D155–D158. 332 indexed citations

Simossis, V. A. & Jaap Heringa. (2005). PRALINE: a multiple sequence alignment toolbox that integrates homology-extended and secondary structure information. Nucleic Acids Research. 33(Web Server). W289–W294. 391 indexed citations

Simossis, V. A.. (2005). Homology-extended sequence alignment. Nucleic Acids Research. 33(3). 816–824. 90 indexed citations

Simossis, V. A. & Jaap Heringa. (2004). The influence of gapped positions in multiple sequence alignments on secondary structure prediction methods. Computational Biology and Chemistry. 28(5-6). 351–366. 14 indexed citations

Lin, Kuang, et al.. (2004). A simple and fast secondary structure prediction method using hidden neural networks. Bioinformatics. 21(2). 152–159. 210 indexed citations

Simossis, V. A. & Jaap Heringa. (2004). Integrating Protein Secondary Structure Prediction and Multiple Sequence Alignment. Current Protein and Peptide Science. 5(4). 249–266. 40 indexed citations

10.

Simossis, V. A. & Jaap Heringa. (2003). The PRALINE online server: optimising progressive multiple alignment on the web. Computational Biology and Chemistry. 27(4-5). 511–519. 47 indexed citations

11.

Simossis, V. A., Jens Kleinjung, & Jaap Heringa. (2003). An Overview of Multiple Sequence Alignment. Current Protocols in Bioinformatics. 3(1). 3.7.1–3.7.26. 16 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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