S. Solís

708 citations
18 papers · 221 · h-index 8

Impact in

    • Antibiotic Resistance in Bacteria
    • Enterobacteriaceae and Cronobacter Research
    • Infections and bacterial resistance

Papers in

S. Solís

17 papers receiving 217 citations

Peers

S. Solís
Comparison fields: 5 of 59
  • Molecular Medicine 102
  • Endocrinology 68
  • Applied Microbiology and Biotechnology 10
  • Pollution 44
  • Clinical Biochemistry 11
Replace Alaksh Choudhury with:
Alaksh Choudhury United States
Akito Kawai Japan
Emily J. Geddes United States
Craig Muldoon Australia
M. Rachel Mehaffey United States
Yanyu Gao China
Tharindi Panduwawala United Kingdom
Christopher Fröhlich Norway
Hervé Boutal France
Mariano M. González Argentina
S. Solís relative to Alaksh Choudhury United States Alaksh Choudhury's profile →
Citations per field
00.5×1.5×2.4×
Alaksh Choudhury · 1×
Citations per year

Countries citing papers authored by S. Solís

Since Specialization
Citations

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

Fields of papers citing papers by S. Solís

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Solís, 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 S. Solís Line = papers co-authored together S. Solís links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012104
2 201526
3 199615
4 202113
5 199712
6 201810
7 20119
8 20237
9 20166
10 20215
11
Solenoid coil for mouse-model MRI with a clinical 3-Tesla imager: body imaging
20093
12
Transceiver 4-leg birdcage for high field MRI: knee imaging
20083
13 20113
14 20122
15 20251
16
[Prevention of falls in the elderly and physiotherapy].
20031
17 20171
18 20250

About S. Solís

S. Solís is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science, Atomic and Molecular Physics, and Optics, Spectroscopy and Electrical and Electronic Engineering, having authored 18 papers that have together received 221 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Advanced NMR Techniques and Applications (5 papers), Atomic and Subatomic Physics Research (5 papers), Plant and Biological Electrophysiology Studies (4 papers), Magnetic and Electromagnetic Effects (3 papers), Electrokinetic Soil Remediation Techniques (3 papers), Polysaccharides and Plant Cell Walls (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Molecular Medicine (102 citations), Endocrinology (68 citations), Applied Microbiology and Biotechnology (10 citations), Pollution (44 citations) and Clinical Biochemistry (11 citations). S. Solís has collaborated with scholars based in Mexico, United States and Sweden. Frequent co-authors include Erika Bustos, María Elena Flores, José Campos, Mateu Espasa, Marı́a Pérez-Vázquez, Jesús Oteo, David Saéz, Carlos Huitrón, V. Bautista and Esteban Aznar. Their work appears in journals such as Electrochimica Acta, Letters in Applied Microbiology, Journal of Antimicrobial Chemotherapy, PLoS Pathogens and Measurement.

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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