Monica A. Serban

707 citations
33 papers · 572 indexed · h-index 13
Topics
Silk-based biomaterials and applications (9 papers)Electrospun Nanofibers in Biomedical Applications (7 papers)Antimicrobial Peptides and Activities (5 papers)

In The Last Decade

Monica A. Serban

31 papers receiving 564 citations

Peers

Monica A. Serban
Comparison fields: 5 of 86
  • Biomaterials 301
  • Biomedical Engineering 235
  • Surgery 115
  • Molecular Biology 97
  • Cell Biology 78
Replace Alexandra E. Halevi with:
Alexandra E. Halevi United States
Shujin Sun China
Yi Sun Choi South Korea
Amy E. Thurber United States
Enateri V. Alakpa United Kingdom
Nicole R. Raia United States
Peter K. Nguyen United States
Stephanie A. Fisher Canada
Mary Beth Browning United States
J. Amédée France
Monica A. Serban relative to Alexandra E. Halevi United States Alexandra E. Halevi's profile →
Citations per field
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Alexandra E. Halevi · 1×
Citations per year

Countries citing papers authored by Monica A. Serban

Since Specialization
Citations

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

Fields of papers citing papers by Monica A. Serban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica A. Serban

This figure shows the co-authorship network connecting the top 25 collaborators of Monica A. Serban. A scholar is included among the top collaborators of Monica A. Serban 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 Monica A. Serban. Monica A. Serban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 1
5 2
6 5
7 8
8 31
9 33
10 54
11 2
12 27
13 1
14 13
15 51
16 54
17 76
18 39
19 27
20 46

About Monica A. Serban

Monica A. Serban is a scholar working on Biomaterials, Otorhinolaryngology and Sensory Systems, having authored 33 papers that have together received 572 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (9 papers), Electrospun Nanofibers in Biomedical Applications (7 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Biomaterials (301 citations), Molecular Medicine (60 citations) and Surfaces, Coatings and Films (71 citations). Monica A. Serban has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include Glenn D. Prestwich, David L. Kaplan, Bruce Panilaitis, Aleksander Skardal, Keiji Numata, Bogdan Şerban, Yanchun Liu, Guanghui Yang, Yu Miyagi and Jo‐Ann Chuah. Their work appears in journals such as Biomaterials, Acta Biomaterialia and Biomacromolecules.

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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