Marley Yeong

1.1k citations
4 papers · 606 indexed · 1 hit paper · h-index 3
Topics
Microbial Metabolic Engineering and Bioproduction (2 papers)Genetic diversity and population structure (1 paper)Cancer Genomics and Diagnostics (1 paper)
Partner nations
NetherlandsMexicoDenmark

In The Last Decade

Marley Yeong

4 papers receiving 603 citations

Hit Papers

A computational framework to explore large-scale biosynth...20192026202120232019100200300400500

Peers

Marley Yeong
Comparison fields: 5 of 75
  • Molecular Biology 417
  • Pharmacology 354
  • Biotechnology 116
  • Plant Science 90
  • Ecology 87
Replace Michael W. Mullowney with:
Michael W. Mullowney United States
Jorge C. Navarro-Muñoz Netherlands
Daniyal Kazempour Germany
Natalie Millán‐Aguiñaga United States
Jonny Nachtigall Germany
Mariana Ávalos Netherlands
Marc Röttig Germany
Xiaolong Huang China
Kerstin Engelhardt Norway
Jessica C. Albright United States
Marley Yeong relative to Michael W. Mullowney United States Michael W. Mullowney's profile →
Citations per field
00.5×1.5×
Michael W. Mullowney · 1×
Citations per year

Countries citing papers authored by Marley Yeong

Since Specialization
Citations

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

Fields of papers citing papers by Marley Yeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marley Yeong

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 3
2
A computational framework to explore large-scale biosynthetic diversitybreakdown →
590
3 1
4 12

About Marley Yeong

Marley Yeong is a scholar working on Biophysics, Cancer Research and Computational Theory and Mathematics, having authored 4 papers that have together received 606 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), Genetic diversity and population structure (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Pharmacology (354 citations), Biotechnology (116 citations) and Microbiology (5 citations). Marley Yeong has collaborated with scholars based in Netherlands, Mexico and Denmark. Frequent co-authors include Emmanuel L. C. de los Santos, Nelly Sélem‐Mójica, Marnix H. Medema, Michael W. Mullowney, Antonio Fernàndez-Guerra, Jorge C. Navarro-Muñoz, Francisco Barona‐Gómez, Anthony W. Goering, William W. Metcalf and Sahar Abubucker. Their work appears in journals such as Nature Chemical Biology, Leukemia and Assay and Drug Development Technologies.

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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