Massimo Masi

3.4k citations
120 papers · 2.3k · h-index 29

Impact in

Papers in

Massimo Masi

104 papers receiving 2.1k citations

Peers

Massimo Masi
Comparison fields: 5 of 143
  • Immunology and Allergy 536
  • Dermatology 686
  • Fluid Flow and Transfer Processes 200
  • Nutrition and Dietetics 208
  • Physiology 330
Replace Young Bok Lee with:
Young Bok Lee South Korea
Kazuhiro Shimizu Japan
Massimo Milani Italy
Eun‐Jung Kim South Korea
Georgios N. Stamatas United States
Hye Young Kim South Korea
Tony Wang United States
Byung‐Soo Kim South Korea
Chengcheng Hu United States
Massimo Masi relative to Young Bok Lee South Korea Young Bok Lee's profile →
Citations per field
00.5×4.6×
Young Bok Lee · 1×
Citations per year

Countries citing papers authored by Massimo Masi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006163
2 200796
3 200092
4 198177
5 200475
6
Evening primrose oil (Efamol) in the treatment of children with atopic eczema.
198875
7 201167
8 200962
9 201162
10 200558
11 198857
12 199454
13 199252
14 199552
15 198150
16 197850
17 199348
18 200647
19 200345
20
A long-term study on the use of evening primrose oil (Efamol) in atopic children.
198843

About Massimo Masi

Massimo Masi is a scholar working on Computational Mechanics, Aerospace Engineering, Dermatology, Mechanical Engineering and Fluid Flow and Transfer Processes, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (20 papers), Turbomachinery Performance and Optimization (20 papers), Advanced Combustion Engine Technologies (16 papers), Combustion and flame dynamics (13 papers), Fluid Dynamics and Turbulent Flows (13 papers), Allergic Rhinitis and Sensitization (12 papers), Food Allergy and Anaphylaxis Research (11 papers) and Heat Transfer Mechanisms (10 papers). The work is most often cited by research in Immunology and Allergy (536 citations), Dermatology (686 citations), Fluid Flow and Transfer Processes (200 citations), Nutrition and Dietetics (208 citations) and Physiology (330 citations). Massimo Masi has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Annalisa Patrizi, Giampaolo Ricci, Barbara Bendandi, Andrea Lazzaretto, Giuseppe Menna, Maria Zannotti, Fernando Specchia, Federico Licastro, Claudio Franceschi and Eugenio Mocchegiani. Their work appears in journals such as Pediatric Dermatology, Journal of Turbomachinery, Energy, Energies and Journal of Engineering for Gas Turbines and Power.

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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