Edison Dong

7.0k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Edison Dong is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Edison Dong has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Obstetrics and Gynecology, 7 papers in Pediatrics, Perinatology and Child Health and 6 papers in Molecular Biology. Recurrent topics in Edison Dong's work include Pregnancy and preeclampsia studies (7 papers), Gestational Diabetes Research and Management (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Edison Dong is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Gestational Diabetes Research and Management (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Edison Dong collaborates with scholars based in Canada, United Kingdom and United States. Edison Dong's co-authors include David S. Wishart, Rupasri Mandal, Farid Aziat, An Chi Guo, Zerihun T. Dame, Souhaila Bouatra, Trent C. Bjorndahl, Michael Wilson, Ramanarayan Krishnamurthy and Craig Knox and has published in prestigious journals such as PLoS ONE, American Journal of Obstetrics and Gynecology and Obstetrical & Gynecological Survey.

In The Last Decade

Edison Dong

14 papers receiving 1.9k citations

Hit Papers

The Human Urine Metabolome 2013 2026 2017 2021 2013 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Human Urine Metabolome
    2013 1.1k citations Souhaila Bouatra, Farid Aziat et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edison Dong Canada 11 1.1k 299 268 261 259 14 1.9k
Gregory T. Knipp United States 30 763 0.7× 595 2.0× 195 0.7× 130 0.5× 82 0.3× 62 2.6k
Trent C. Bjorndahl Canada 16 1.4k 1.3× 93 0.3× 66 0.2× 303 1.2× 238 0.9× 24 2.0k
Steven W. Graves United States 28 894 0.8× 536 1.8× 586 2.2× 137 0.5× 151 0.6× 98 2.6k
Dominique Porquet France 22 932 0.9× 699 2.3× 503 1.9× 211 0.8× 64 0.2× 87 2.5k
Vera Lúcia Lanchote Brazil 29 363 0.3× 340 1.1× 115 0.4× 224 0.9× 288 1.1× 223 3.0k
Wolfgang Bernhard Germany 28 474 0.4× 397 1.3× 69 0.3× 130 0.5× 59 0.2× 85 2.4k
Raffaella Sorrentino Italy 35 1.3k 1.2× 171 0.6× 201 0.8× 1.2k 4.5× 113 0.4× 111 4.3k
Ting­-Li Han China 24 674 0.6× 412 1.4× 472 1.8× 133 0.5× 63 0.2× 99 1.7k
ViLinh Tran United States 27 984 0.9× 150 0.5× 34 0.1× 338 1.3× 243 0.9× 64 2.2k
Gaetano Corso Italy 28 810 0.8× 101 0.3× 36 0.1× 528 2.0× 190 0.7× 108 2.4k

Countries citing papers authored by Edison Dong

Since Specialization
Citations

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

Fields of papers citing papers by Edison Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edison Dong

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

All Works

14 of 14 papers shown
1.
Bahado‐Singh, Ray, Argyro Syngelaki, Rupsari Mandal, et al.. (2018). First-trimester metabolomic prediction of stillbirth. The Journal of Maternal-Fetal & Neonatal Medicine. 32(20). 3435–3441. 7 indexed citations
2.
O’Callaghan, Tom F., Rosa Vázquez‐Fresno, Edison Dong, et al.. (2018). Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 8(2). 27–27. 94 indexed citations
3.
Bahado‐Singh, Ray, Argyro Syngelaki, Rupsari Mandal, et al.. (2016). Metabolomic determination of pathogenesis of late-onset preeclampsia. The Journal of Maternal-Fetal & Neonatal Medicine. 30(6). 658–664. 44 indexed citations
4.
Dame, Zerihun T., Farid Aziat, Rupasri Mandal, et al.. (2015). The human saliva metabolome. Metabolomics. 11(6). 1864–1883. 198 indexed citations
5.
Bahado‐Singh, Ray, Argyro Syngelaki, Ranjit Akolekar, et al.. (2015). Validation of metabolomic models for prediction of early-onset preeclampsia. American Journal of Obstetrics and Gynecology. 213(4). 530.e1–530.e10. 60 indexed citations
6.
Bahado‐Singh, Ray, Rupasri Mandal, Trent C. Bjorndahl, et al.. (2015). Metabolomic Prediction of Fetal Congenital Heart Defect in the First Trimester. Obstetrical & Gynecological Survey. 70(1). 9–11. 4 indexed citations
7.
Bahado‐Singh, Ray, Rupasri Mandal, Trent C. Bjorndahl, et al.. (2014). Metabolomic prediction of fetal congenital heart defect in the first trimester. American Journal of Obstetrics and Gynecology. 211(3). 240.e1–240.e14. 55 indexed citations
8.
Bahado‐Singh, Ray, Ranjit Akolekar, Rupasri Mandal, et al.. (2013). Metabolomic analysis for first-trimester trisomy 18 detection. American Journal of Obstetrics and Gynecology. 209(1). 65.e1–65.e9. 21 indexed citations
9.
Bouatra, Souhaila, Farid Aziat, Rupasri Mandal, et al.. (2013). The Human Urine Metabolome. PLoS ONE. 8(9). e73076–e73076. 1100 indexed citations breakdown →
10.
Bahado‐Singh, Ray, Ranjit Akolekar, Rupasri Mandal, et al.. (2013). Metabolomic analysis for first-trimester Down syndrome prediction. American Journal of Obstetrics and Gynecology. 208(5). 371.e1–371.e8. 51 indexed citations
11.
Bahado‐Singh, Ray, Ranjit Akolekar, Rupasri Mandal, et al.. (2012). First-trimester metabolomic detection of late-onset preeclampsia. American Journal of Obstetrics and Gynecology. 208(1). 58.e1–58.e7. 69 indexed citations
12.
Mandal, Rupasri, An Chi Guo, Philip L.‐F. Liu, et al.. (2012). Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update. Genome Medicine. 4(4). 38–38. 116 indexed citations
13.
Bahado‐Singh, Ray, Ranjit Akolekar, Rupasri Mandal, et al.. (2012). Metabolomics and first-trimester prediction of early-onset preeclampsia. The Journal of Maternal-Fetal & Neonatal Medicine. 25(10). 1840–1847. 99 indexed citations
14.
Bahado‐Singh, Ray, Ranjit Akolekar, Rupsari Mandal, et al.. (2012). 597: Metabolomic prediction of trisomy 18 first trimester pregnancies. American Journal of Obstetrics and Gynecology. 208(1). S255–S255. 1 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.

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