Alba Marcellan

80 total papers · 3.2k total citations
59 papers, 2.7k citations indexed

About

Alba Marcellan is a scholar working on Molecular Medicine, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Alba Marcellan has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Medicine, 20 papers in Biomaterials and 20 papers in Biomedical Engineering. Recurrent topics in Alba Marcellan's work include Hydrogels: synthesis, properties, applications (29 papers), Advanced Materials and Mechanics (13 papers) and Advanced Sensor and Energy Harvesting Materials (12 papers). Alba Marcellan is often cited by papers focused on Hydrogels: synthesis, properties, applications (29 papers), Advanced Materials and Mechanics (13 papers) and Advanced Sensor and Energy Harvesting Materials (12 papers). Alba Marcellan collaborates with scholars based in France, China and Belgium. Alba Marcellan's co-authors include Dominique Hourdet, Séverine Rose, Ludwik Leibler, Costantino Creton, Paul Elzière, Hui Guo, Nicolas Sanson, Tetsuharu Narita, Wei‐Chun Lin and Wei Fan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Alba Marcellan

56 papers receiving 2.7k citations

Hit Papers

Nanoparticle solutions as... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Alba Marcellan 1.1k 1.1k 739 573 570 59 2.7k
Ruobing Bai 2.3k 2.1× 1.0k 1.0× 766 1.0× 823 1.4× 886 1.6× 63 4.0k
Yanfei Ma 1.9k 1.7× 798 0.8× 796 1.1× 645 1.1× 892 1.6× 67 4.4k
Hui Guo 1.1k 1.0× 676 0.6× 634 0.9× 384 0.7× 430 0.8× 90 2.7k
Lihong He 819 0.7× 510 0.5× 830 1.1× 577 1.0× 466 0.8× 67 3.5k
Jin Qian 1.9k 1.8× 800 0.8× 601 0.8× 616 1.1× 985 1.7× 144 4.2k
Hailong Fan 1.6k 1.5× 599 0.6× 1.1k 1.5× 819 1.4× 385 0.7× 45 3.7k
Liwei Yan 1.3k 1.2× 393 0.4× 707 1.0× 894 1.6× 341 0.6× 91 2.9k
Yoshimi Tanaka 1.3k 1.2× 1.6k 1.6× 725 1.0× 393 0.7× 855 1.5× 68 3.1k
Xiang Li 1.3k 1.2× 772 0.7× 854 1.2× 1.1k 1.9× 546 1.0× 157 3.8k
Daniel R. King 1.2k 1.1× 732 0.7× 506 0.7× 587 1.0× 634 1.1× 45 2.4k

Countries citing papers authored by Alba Marcellan

Since Specialization
Citations

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

Fields of papers citing papers by Alba Marcellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alba Marcellan

This figure shows the co-authorship network connecting the top 25 collaborators of Alba Marcellan. A scholar is included among the top collaborators of Alba Marcellan 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 Alba Marcellan. Alba Marcellan 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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