Marcos A. Neves

161 total papers · 4.0k total citations
135 papers, 3.2k citations indexed

About

Marcos A. Neves is a scholar working on Food Science, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Marcos A. Neves has authored 135 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Food Science, 44 papers in Biomedical Engineering and 42 papers in Materials Chemistry. Recurrent topics in Marcos A. Neves's work include Proteins in Food Systems (60 papers), Pickering emulsions and particle stabilization (41 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (29 papers). Marcos A. Neves is often cited by papers focused on Proteins in Food Systems (60 papers), Pickering emulsions and particle stabilization (41 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (29 papers). Marcos A. Neves collaborates with scholars based in Japan, Tunisia and Pakistan. Marcos A. Neves's co-authors include Mitsutoshi Nakajima, Isao Kobayashi, Kunihiko Uemura, Nauman Khalid, Hiroko Isoda, Sosaku Ichikawa, Gaofeng Shu, Yiguo Zhao, L Dupoirieux and Didier Pourquier and has published in prestigious journals such as Advanced Drug Delivery Reviews, Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Marcos A. Neves

130 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marcos A. Neves 1.6k 840 537 400 347 135 3.2k
Jihong Wu 1.5k 1.0× 589 0.7× 501 0.9× 382 1.0× 185 0.5× 103 3.3k
Jie Long 1.2k 0.8× 470 0.6× 380 0.7× 493 1.2× 182 0.5× 119 3.0k
Hong Zhang 801 0.5× 577 0.7× 545 1.0× 718 1.8× 235 0.7× 141 3.1k
Sanghoon Ko 2.2k 1.4× 604 0.7× 543 1.0× 786 2.0× 177 0.5× 121 4.5k
Apinan Soottitantawat 1.3k 0.8× 566 0.7× 566 1.1× 383 1.0× 246 0.7× 84 2.9k
Meng Wai Woo 2.2k 1.4× 427 0.5× 390 0.7× 398 1.0× 606 1.7× 178 4.3k
Seyed‐Ahmad Shahidi 817 0.5× 449 0.5× 354 0.7× 294 0.7× 767 2.2× 121 2.6k
Fan Xie 730 0.5× 710 0.8× 905 1.7× 592 1.5× 306 0.9× 140 3.9k
Kunihiko Uemura 910 0.6× 1.1k 1.3× 461 0.9× 225 0.6× 627 1.8× 131 2.5k
Gang Fan 1.7k 1.1× 1.2k 1.4× 243 0.5× 367 0.9× 309 0.9× 153 4.5k

Countries citing papers authored by Marcos A. Neves

Since Specialization
Citations

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

Fields of papers citing papers by Marcos A. Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos A. Neves. 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 Marcos A. Neves. The network helps show where Marcos A. Neves may publish in the future.

Co-authorship network of co-authors of Marcos A. Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos A. Neves. A scholar is included among the top collaborators of Marcos A. Neves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcos A. Neves. Marcos A. Neves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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