Inès Mérida

655 citations
22 papers · 229 · h-index 10

Impact in

Papers in

Inès Mérida

20 papers receiving 228 citations

Peers

Inès Mérida
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 115
  • Radiation 19
  • Cellular and Molecular Neuroscience 39
  • Neurology 15
  • Neurology 26
Replace Patrick Hiepe with:
Patrick Hiepe Germany
Masaki Ohkubo Japan
Jonathan E. Frank United States
Jae‐Yong Han South Korea
Guido Böning Germany
Gina Belmonte Italy
Michael Lin United States
Terhi Tuokkola Finland
Szabolcs Dávid Netherlands
Takashi Iimori Japan
Inès Mérida relative to Patrick Hiepe Germany Patrick Hiepe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Inès Mérida

Since Specialization
Citations

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

Fields of papers citing papers by Inès Mérida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inès Mérida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inès Mérida Line = papers co-authored together Inès Mérida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201735
2 201825
3 202119
4 202318
5 201515
6 201915
7 201813
8 201511
9 202110
10 202010
11 20209
12 20228
13 20238
14 20238
15 20217
16 20207
17 20236
18 20233
19 20241
20 20231

About Inès Mérida

Inès Mérida is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 22 papers that have together received 229 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Acute Ischemic Stroke Management (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (115 citations), Radiation (19 citations), Cellular and Molecular Neuroscience (39 citations), Neurology (15 citations) and Neurology (26 citations). Inès Mérida has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include Nicolas Costes, Alexander Hammers, Jérôme Redouté, Rolf A. Heckemann, Anthonin Reilhac, Didier Le Bars, Sophie Lancelot, Caroline Bouillot, Sandrine Lemoine and David W. Townsend. Their work appears in journals such as EJNMMI Physics, Neurotherapeutics, EJNMMI Research, Scientific Reports and Brain.

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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