Mayasari Lim

1.1k citations
35 papers · 813 · h-index 16

Impact in

Papers in

Mayasari Lim

35 papers receiving 788 citations

Peers

Mayasari Lim
Comparison fields: 5 of 108
  • Biophysics 155
  • Biomedical Engineering 462
  • Analytical Chemistry 85
  • Biomaterials 103
  • Genetics 76
Replace Julia Marzi with:
Julia Marzi Germany
Stephanie Knowlton United States
Siyu Feng China
Dai Fei Elmer Ker Hong Kong
Magnus B. Lilledahl Norway
Sebastian Schürmann Germany
Bo Kara United Kingdom
Cristiano Carlomagno Italy
Aliaksei Vasilevich Netherlands
Mayasari Lim relative to Julia Marzi Germany Julia Marzi's profile →
Citations per field
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Julia Marzi · 1×
Citations per year

Countries citing papers authored by Mayasari Lim

Since Specialization
Citations

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

Fields of papers citing papers by Mayasari Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012130
2 2008128
3 201991
4 201553
5 201449
6 200745
7 201032
8 201423
9 201220
10 201319
11 201119
12 200819
13 200817
14 201216
15 201415
16 201315
17 202313
18 201213
19 201511
20 201411

About Mayasari Lim

Mayasari Lim is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Genetics and Biomaterials, having authored 35 papers that have together received 813 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (17 papers), Tissue Engineering and Regenerative Medicine (10 papers), Mesenchymal stem cell research (7 papers), Pluripotent Stem Cells Research (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Biophysics (155 citations), Biomedical Engineering (462 citations), Analytical Chemistry (85 citations), Biomaterials (103 citations) and Genetics (76 citations). Mayasari Lim has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Quan Liu, Yi Hong Ong, Athanasios Mantalaris, Mark C. Allenby, Mauricio Zamorano, Ioannis Angelopoulos, Nicki Panoskaltsis, Kedong Song, J.I. Seeger and Xicai Yue. Their work appears in journals such as Biochemical Engineering Journal, Optics Express, Materials Science and Engineering C, Bioprocess and Biosystems Engineering and Biotechnology and Bioengineering.

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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