Merike Sõmera

31 total papers · 476 total citations
17 papers, 228 citations indexed

About

Merike Sõmera is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Merike Sõmera has authored 17 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Endocrinology and 3 papers in Molecular Biology. Recurrent topics in Merike Sõmera's work include Plant Virus Research Studies (16 papers), Plant and Fungal Interactions Research (7 papers) and Plant Parasitism and Resistance (4 papers). Merike Sõmera is often cited by papers focused on Plant Virus Research Studies (16 papers), Plant and Fungal Interactions Research (7 papers) and Plant Parasitism and Resistance (4 papers). Merike Sõmera collaborates with scholars based in Estonia, Belgium and Germany. Merike Sõmera's co-authors include Cecilia Sarmiento, Erkki Truve, Denis Fargette, Eugénie Hébrard, Anders Kvarnheden, Lucie Tamisier, Sébastien Massart, Eric Verdin, Cécile Desbiez and Jiban Kumar Kundu and has published in prestigious journals such as Frontiers in Microbiology, PLoS Pathogens and Virology.

In The Last Decade

Merike Sõmera

15 papers receiving 226 citations

Author Peers

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

Author Last Decade Papers Cites
Merike Sõmera 208 82 73 31 28 17 228
Mónica Betancourt Vásquez 284 1.4× 68 0.8× 71 1.0× 29 0.9× 18 0.6× 25 318
Julia Hillung 201 1.0× 70 0.9× 51 0.7× 42 1.4× 30 1.1× 16 292
G. Müller 289 1.4× 104 1.3× 66 0.9× 30 1.0× 13 0.5× 24 307
Anamarija Butković 189 0.9× 51 0.6× 44 0.6× 24 0.8× 32 1.1× 20 240
B. S. M. Lebas 296 1.4× 114 1.4× 45 0.6× 28 0.9× 19 0.7× 34 319
Kishore Kakani 254 1.2× 95 1.2× 47 0.6× 41 1.3× 63 2.3× 13 300
Alma G. Laney 274 1.3× 132 1.6× 78 1.1× 22 0.7× 10 0.4× 13 284
Yahya Z. A. Gaafar 244 1.2× 120 1.5× 59 0.8× 29 0.9× 21 0.8× 23 258
Mohammad Hajizadeh 265 1.3× 161 2.0× 55 0.8× 33 1.1× 15 0.5× 35 280
D.-E. Lesemann 232 1.1× 77 0.9× 52 0.7× 29 0.9× 16 0.6× 18 246

Countries citing papers authored by Merike Sõmera

Since Specialization
Citations

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

Fields of papers citing papers by Merike Sõmera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merike Sõmera

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