Miriam Gil‐Monreal

32 total papers · 433 total citations
20 papers, 316 citations indexed

About

Miriam Gil‐Monreal is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Miriam Gil‐Monreal has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Pollution. Recurrent topics in Miriam Gil‐Monreal's work include Weed Control and Herbicide Applications (16 papers), Pesticide and Herbicide Environmental Studies (9 papers) and Plant tissue culture and regeneration (8 papers). Miriam Gil‐Monreal is often cited by papers focused on Weed Control and Herbicide Applications (16 papers), Pesticide and Herbicide Environmental Studies (9 papers) and Plant tissue culture and regeneration (8 papers). Miriam Gil‐Monreal collaborates with scholars based in Spain, Germany and United Kingdom. Miriam Gil‐Monreal's co-authors include Mercedes Royuela, Ana Zabalza, Renier A. L. van der Hoorn, Joji Grace Villamor, Aaron C. Asensio, José F. Morán, Yolanda Gogorcena Aoiz, Pedro M. Aparicio‐Tejo, Joost T. van Dongen and M. Igal and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Miriam Gil‐Monreal

20 papers receiving 309 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Gil‐Monreal 270 115 106 21 15 20 316
Mohammad Suhel 304 1.1× 51 0.4× 63 0.6× 11 0.5× 18 1.2× 13 357
Tajammul Husain 270 1.0× 52 0.5× 80 0.8× 11 0.5× 19 1.3× 16 344
Rekha Gadre 244 0.9× 47 0.4× 86 0.8× 9 0.4× 18 1.2× 27 313
Karolina Izbiańska 260 1.0× 48 0.4× 76 0.7× 15 0.7× 20 1.3× 13 317
Günter Retzlaff 286 1.1× 83 0.7× 74 0.7× 61 2.9× 23 1.5× 13 358
J.L.P. van Oorschot 202 0.7× 91 0.8× 66 0.6× 20 1.0× 5 0.3× 19 245
Norbert M. Satchivi 281 1.0× 152 1.3× 90 0.8× 28 1.3× 14 0.9× 12 346
Hao‐Jen Huang 285 1.1× 31 0.3× 147 1.4× 10 0.5× 15 1.0× 18 341
Gaobo Yu 279 1.0× 50 0.4× 104 1.0× 7 0.3× 9 0.6× 22 323
Huiqiong Chen 212 0.8× 42 0.4× 128 1.2× 12 0.6× 18 1.2× 18 302

Countries citing papers authored by Miriam Gil‐Monreal

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Gil‐Monreal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Gil‐Monreal. 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 Miriam Gil‐Monreal. The network helps show where Miriam Gil‐Monreal may publish in the future.

Co-authorship network of co-authors of Miriam Gil‐Monreal

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Gil‐Monreal. A scholar is included among the top collaborators of Miriam Gil‐Monreal 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 Miriam Gil‐Monreal. Miriam Gil‐Monreal 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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