Pablo Sinues

85 papers receiving 2.3k citations

Peers

Pablo Sinues
Comparison fields: 5 of 101
  • Spectroscopy 992
  • Biomedical Engineering 1.1k
  • Endocrine and Autonomic Systems 68
  • Clinical Biochemistry 37
  • Toxicology 40
Replace Veronika Ruzsányi with:
Veronika Ruzsányi Austria
Martin Thomas Gaugg Switzerland
Tobias Bruderer Switzerland
Cornelia Röhring Germany
Francesco Misiti Italy
Jenna Poelzer Canada
Bingfang Yue United States
Yiran Liang China
Jen‐Ai Lee Taiwan
Osama Y. Al-Dirbashi Canada
Pablo Sinues relative to Veronika Ruzsányi Austria Veronika Ruzsányi's profile →
Citations per field
00.5×2×4×6×8×9.7×
Veronika Ruzsányi · 1×
Citations per year

Countries citing papers authored by Pablo Sinues

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Sinues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008123
2 2008101
3 201471
4 201969
5 201668
6 201966
7 200963
8 201362
9 201459
10 201858
11 201556
12 201155
13 201255
14 201855
15 201553
16 201553
17 202049
18 201746
19 201745
20 201942

About Pablo Sinues

Pablo Sinues is a scholar working on Spectroscopy, Biomedical Engineering, Molecular Biology, Clinical Biochemistry and Toxicology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (45 papers), Mass Spectrometry Techniques and Applications (41 papers), Metabolomics and Mass Spectrometry Studies (20 papers), Asthma and respiratory diseases (4 papers), Air Quality and Health Impacts (4 papers), Circadian rhythm and melatonin (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Spectroscopy (992 citations), Biomedical Engineering (1.1k citations), Endocrine and Autonomic Systems (68 citations), Clinical Biochemistry (37 citations) and Toxicology (40 citations). Pablo Sinues has collaborated with scholars based in Switzerland, Spain and China. Frequent co-authors include Renato Zenobi, Malcolm Kohler, Juan Fernández de la Mora, Martin Thomas Gaugg, Guillermo Vidal‐de‐Miguel, Diego García‐Gómez, Lukas Bregy, Kapil Dev Singh, Tobias Bruderer and Thomas Gaisl. Their work appears in journals such as Journal of Breath Research, Analytical Chemistry, CHEST Journal, Scientific Reports and Journal of the American Society for Mass Spectrometry.

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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