Wei Suong Teo

15 total papers · 592 total citations
9 papers, 451 citations indexed

About

Wei Suong Teo is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Wei Suong Teo has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Genetics. Recurrent topics in Wei Suong Teo's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Gene Regulatory Network Analysis (3 papers). Wei Suong Teo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Gene Regulatory Network Analysis (3 papers). Wei Suong Teo collaborates with scholars based in Singapore. Wei Suong Teo's co-authors include Matthew Wook Chang, Tat‐Ming Lo, Hua Ling, Binbin Chen, Wen Shan Yew, Adison Wong, Susanna Su Jan Leong, Aiqun Yu, Aram Kang and Won Jae Choi and has published in prestigious journals such as Nature Communications, Biotechnology Advances and Biotechnology and Bioengineering.

In The Last Decade

Wei Suong Teo

9 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Wei Suong Teo 419 127 58 33 25 9 451
Jae Hyung Lim 364 0.9× 187 1.5× 35 0.6× 27 0.8× 25 1.0× 11 406
Akash Gupta 422 1.0× 89 0.7× 49 0.8× 41 1.2× 30 1.2× 11 510
Elvira Sgobba 385 0.9× 173 1.4× 38 0.7× 33 1.0× 17 0.7× 9 442
Amanda M. Lanza 437 1.0× 149 1.2× 62 1.1× 48 1.5× 20 0.8× 13 493
Heyun Wu 379 0.9× 94 0.7× 57 1.0× 44 1.3× 23 0.9× 14 410
Seung Bum Sohn 504 1.2× 237 1.9× 35 0.6× 26 0.8× 11 0.4× 7 545
Ruilian Yao 410 1.0× 147 1.2× 60 1.0× 36 1.1× 21 0.8× 14 483
Marc Auchter 428 1.0× 217 1.7× 74 1.3× 41 1.2× 16 0.6× 11 462
Suresh Selvarasu 454 1.1× 152 1.2× 41 0.7× 26 0.8× 10 0.4× 8 487
Ana Borges 359 0.9× 253 2.0× 72 1.2× 59 1.8× 15 0.6× 9 457

Countries citing papers authored by Wei Suong Teo

Since Specialization
Citations

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

Fields of papers citing papers by Wei Suong Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Suong Teo. 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 Wei Suong Teo. The network helps show where Wei Suong Teo may publish in the future.

Co-authorship network of co-authors of Wei Suong Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Suong Teo. A scholar is included among the top collaborators of Wei Suong Teo 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 Wei Suong Teo. Wei Suong Teo 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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2026