Debora Paris

2.2k citations
70 papers · 1.5k · h-index 22

Impact in

Papers in

Debora Paris

64 papers receiving 1.5k citations

Peers

Debora Paris
Comparison fields: 5 of 127
  • Pulmonary and Respiratory Medicine 339
  • Physiology 246
  • Molecular Biology 577
  • Biological Psychiatry 18
  • Biomedical Engineering 330
Replace Fan Jiang with:
Fan Jiang China
Paola Antonia Corsetto Italy
Verónica Miguel Spain
Jiahao Zhang China
Bernd Müller Germany
Viridiana Olín‐Sandoval Mexico
Franco Canestrari Italy
Ling Song China
Alycia Noë Canada
Yuqing Yang China
Debora Paris relative to Fan Jiang China Fan Jiang's profile →
Citations per field
00.5×4.6×
Fan Jiang · 1×
Citations per year

Countries citing papers authored by Debora Paris

Since Specialization
Citations

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

Fields of papers citing papers by Debora Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011124
2 2015117
3 2008101
4 201387
5 201575
6 201674
7 202351
8 201747
9 201846
10 201444
11 201143
12 201641
13 201035
14 202033
15 202331
16 201530
17 201928
18 201328
19 202026
20 202025

About Debora Paris

Debora Paris is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Physiology and Epidemiology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Advanced Chemical Sensor Technologies (13 papers), Asthma and respiratory diseases (5 papers), Respiratory viral infections research (4 papers), NMR spectroscopy and applications (4 papers), Advanced NMR Techniques and Applications (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (339 citations), Physiology (246 citations), Molecular Biology (577 citations), Biological Psychiatry (18 citations) and Biomedical Engineering (330 citations). Debora Paris has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Andréa Motta, Dominique Melck, Mauro Maniscalco, Matteo Sofia, Paolo Montuschi, Gaetano Corso, Vincenzo Di Marzo, Cecilia Calabrese, Maria D’Amato and Filomena Monica Vella. Their work appears in journals such as Metabolomics, Scientific Reports, Frontiers in Pharmacology, International Journal of Molecular Sciences and EMBO Molecular Medicine.

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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