Jessica Ewald

5.1k citations
35 papers · 3.1k indexed · 4 hit papers · h-index 18
Topics
Bioinformatics and Genomic Networks (10 papers)Gene expression and cancer classification (10 papers)Environmental Toxicology and Ecotoxicology (7 papers)

In The Last Decade

Jessica Ewald

34 papers receiving 3.1k citations

Hit Papers

NetworkAnalyst 3.0: a visual analytics platform for compr...201920262021202320192022202320244008001.2k

Peers

Jessica Ewald
Comparison fields: 5 of 152
  • Molecular Biology 1.6k
  • Health, Toxicology and Mutagenesis 371
  • Cancer Research 330
  • Pulmonary and Respiratory Medicine 299
  • Physiology 296
Replace Amrit Singh with:
Amrit Singh Canada
Jin Xu China
Jiaying Wang China
Wenbin Liu China
Othman Soufan Canada
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Jessica Ewald relative to Amrit Singh Canada Amrit Singh's profile →
Citations per field
00.5×1.5×2.0×
Amrit Singh · 1×
Citations per year

Countries citing papers authored by Jessica Ewald

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Ewald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Ewald

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Ewald. A scholar is included among the top collaborators of Jessica Ewald 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 Jessica Ewald. Jessica Ewald 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
#WorkIndexed citations
1 1
2 3
3 3
4 1
5
Web-based multi-omics integration using the Analyst software suitebreakdown →
78
6 19
7 7
8 3
9 53
10
MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome databreakdown →
275
11 103
12 15
13 3
14
Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics databreakdown →
884
15 27
16 62
17 20
18 30
19 26
20 22

About Jessica Ewald

Jessica Ewald is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Biophysics, having authored 35 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (10 papers) and Environmental Toxicology and Ecotoxicology (7 papers). The work is most often cited by research in Biological Psychiatry (77 citations), Health, Toxicology and Mutagenesis (371 citations) and Molecular Biology (1.6k citations). Jessica Ewald has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jianguo Xia, Guangyan Zhou, Niladri Basu, Othman Soufan, Robert E. W. Hancock, Zhiqiang Pang, Orçun Haçarız, Le Chang, Yao Lü and Miling Li. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

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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