Edith D. Wong

16.1k total citations · 1 hit paper
28 papers, 3.0k citations indexed

About

Edith D. Wong is a scholar working on Molecular Biology, Food Science and Pharmacology. According to data from OpenAlex, Edith D. Wong has authored 28 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 5 papers in Food Science and 4 papers in Pharmacology. Recurrent topics in Edith D. Wong's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (14 papers) and Fungal and yeast genetics research (13 papers). Edith D. Wong is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (14 papers) and Fungal and yeast genetics research (13 papers). Edith D. Wong collaborates with scholars based in United States, United Kingdom and Italy. Edith D. Wong's co-authors include Manuel Llinás, Joseph L. DeRisi, Zbynek Bozdech, Brian Pulliam, Jingchun Zhu, Jodi Nunnari, J. Michael Cherry, Kalpana Karra, Benjamin C. Hitz and Steven Ward Gorsich and has published in prestigious journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Edith D. Wong

28 papers receiving 2.9k citations

Hit Papers

The Transcriptome of the Intraerythrocytic Developmental ... 2003 2026 2010 2018 2003 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edith D. Wong United States 16 2.1k 954 463 216 187 28 3.0k
Bernardo J. Foth United Kingdom 26 1.4k 0.6× 1.2k 1.2× 357 0.8× 760 3.5× 851 4.6× 31 2.9k
Lluı́s Ribas de Pouplana Spain 36 3.8k 1.8× 375 0.4× 206 0.4× 164 0.8× 79 0.4× 98 4.4k
Jingchun Zhu United States 15 2.2k 1.1× 1.1k 1.1× 571 1.2× 216 1.0× 208 1.1× 28 3.4k
Matthew D. Daugherty United States 25 1.6k 0.8× 125 0.1× 494 1.1× 249 1.2× 57 0.3× 42 2.7k
Thorsten Forster United Kingdom 24 1.1k 0.5× 179 0.2× 570 1.2× 345 1.6× 111 0.6× 53 2.2k
Veronica Canadien Canada 16 2.6k 1.2× 144 0.2× 420 0.9× 654 3.0× 123 0.7× 17 3.6k
Lawrence W. Bergman United States 26 1.2k 0.6× 872 0.9× 526 1.1× 236 1.1× 281 1.5× 47 2.2k
Alexander G. Maier Australia 36 1.9k 0.9× 3.2k 3.3× 1.2k 2.6× 581 2.7× 644 3.4× 86 4.9k
Christine Yueh United States 8 2.2k 1.0× 116 0.1× 449 1.0× 285 1.3× 51 0.3× 9 2.9k
Christopher A. MacRaild Australia 24 888 0.4× 437 0.5× 216 0.5× 116 0.5× 101 0.5× 61 1.6k

Countries citing papers authored by Edith D. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Edith D. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edith D. Wong. 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 Edith D. Wong. The network helps show where Edith D. Wong may publish in the future.

Co-authorship network of co-authors of Edith D. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Edith D. Wong. A scholar is included among the top collaborators of Edith D. Wong 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 Edith D. Wong. Edith D. Wong 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
1.
Engel, Stacia R., Suzi Aleksander, Robert S Nash, et al.. (2024). Saccharomyces Genome Database: advances in genome annotation, expanded biochemical pathways, and other key enhancements. Genetics. 229(3). 8 indexed citations
2.
Wong, Edith D., Stuart R. Miyasato, Suzi Aleksander, et al.. (2023). Saccharomyces genome database update: server architecture, pan-genome nomenclature, and external resources. Genetics. 224(1). 58 indexed citations
3.
Engel, Stacia R., Edith D. Wong, Robert S Nash, et al.. (2021). New data and collaborations at the Saccharomyces Genome Database: updated reference genome, alleles, and the Alliance of Genome Resources. Genetics. 220(4). 43 indexed citations
4.
Meldal, Birgit, Carles Pons, Livia Perfetto, et al.. (2021). Analysing the yeast complexome—the Complex Portal rising to the challenge. Nucleic Acids Research. 49(6). 3156–3167. 4 indexed citations
5.
Meldal, Birgit, Livia Perfetto, Colin Combe, et al.. (2021). Complex Portal 2022: new curation frontiers. Nucleic Acids Research. 50(D1). D578–D586. 37 indexed citations
6.
Ng, Patrick, Edith D. Wong, Kevin MacPherson‐Hawthorne, et al.. (2019). Transcriptome visualization and data availability at the Saccharomyces Genome Database. Nucleic Acids Research. 48(D1). D743–D748. 13 indexed citations
7.
Wong, Edith D., Marek S. Skrzypek, Shuai Weng, et al.. (2019). Integration of macromolecular complex data into theSaccharomycesGenome Database. Database. 2019. 9 indexed citations
8.
Meldal, Birgit, Hema Bye‐A‐Jee, Livia Perfetto, et al.. (2018). Complex Portal 2018: extended content and enhanced visualization tools for macromolecular complexes. Nucleic Acids Research. 47(D1). D550–D558. 76 indexed citations
9.
Skrzypek, Marek S., Robert S Nash, Edith D. Wong, et al.. (2017). Saccharomyces genome database informs human biology. Nucleic Acids Research. 46(D1). D736–D742. 24 indexed citations
10.
Wong, Edith D.. (2017). Exploring Protein Function Using the Saccharomyces Genome Database. Methods in molecular biology. 1611. 169–182. 1 indexed citations
11.
Song, Giltae, Rama Balakrishnan, Gail Binkley, et al.. (2016). Integration of new alternative reference strain genome sequences into theSaccharomycesgenome database. Database. 2016. baw074–baw074. 13 indexed citations
12.
Hitz, Benjamin C., Stacia R. Engel, Giltae Song, et al.. (2015). TheSaccharomycesGenome Database Variant Viewer. Nucleic Acids Research. 44(D1). D698–D702. 20 indexed citations
13.
Benayoun, Bérénice A., Elizabeth A. Pollina, Duygu Ucar, et al.. (2014). H3K4me3 Breadth Is Linked to Cell Identity and Transcriptional Consistency. Cell. 158(3). 673–688. 384 indexed citations
14.
Meldal, Birgit, Maria C. Costanzo, Jose M Dana, et al.. (2014). The complex portal - an encyclopaedia of macromolecular complexes. Nucleic Acids Research. 43(D1). D479–D484. 59 indexed citations
15.
Costanzo, Maria C., Stacia R. Engel, Edith D. Wong, et al.. (2013). Saccharomycesgenome database provides new regulation data. Nucleic Acids Research. 42(D1). D717–D725. 50 indexed citations
16.
Costanzo, Maria C., Marek S. Skrzypek, Robert S Nash, et al.. (2009). New mutant phenotype data curation system in the Saccharomyces Genome Database. Database. 2009(0). bap001–bap001. 18 indexed citations
17.
Bozdech, Zbynek, Manuel Llinás, Brian Pulliam, et al.. (2003). The Transcriptome of the Intraerythrocytic Developmental Cycle of Plasmodium falciparum. PLoS Biology. 1(1). e5–e5. 1251 indexed citations breakdown →
18.
Wong, Edith D., et al.. (2003). The intramitochondrial dynamin-related GTPase, Mgm1p, is a component of a protein complex that mediates mitochondrial fusion. The Journal of Cell Biology. 160(3). 303–311. 205 indexed citations
19.
Nunnari, Jodi, et al.. (2002). Studying the behavior of mitochondria. Methods in enzymology on CD-ROM/Methods in enzymology. 351. 381–393. 21 indexed citations
20.
Wong, Edith D.. (1977). Retrieving Dispersed Data from SDD-1: A System for Distributed Databases.. 217–235. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026