Erjia Wang

416 citations
14 papers · 253 · h-index 9

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Phytochemicals and Antioxidant Activities

Papers in

    • Genomics and Phylogenetic Studies 5
    • Identification and Quantification in Food 2
    • Genetic diversity and population structure 4

Erjia Wang

13 papers receiving 252 citations

Peers

Erjia Wang
Comparison fields: 5 of 83
  • Aging 39
  • Biochemistry 26
  • Ecological Modeling 14
  • Biological Psychiatry 6
  • Clinical Biochemistry 16
Replace Judith Grizzle with:
Judith Grizzle United States
Tomomi Komura Japan
Aiswarya Baruah India
Jimian Yu China
Takanori Ikeda Japan
Haotian Gu China
Faruk Aral Türkiye
J.F. Griveau France
Erjia Wang relative to Judith Grizzle United States Judith Grizzle's profile →
Citations per field
00.5×7.7×
Judith Grizzle · 1×
Citations per year

Countries citing papers authored by Erjia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erjia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erjia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erjia Wang Line = papers co-authored together Erjia Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201250
2 201648
3 201925
4 201924
5 201722
6 201719
7 201814
8 201913
9 201812
10 20188
11 20207
12 20176
13 20205
14 20220

About Erjia Wang

Erjia Wang is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Ecology and Nutrition and Dietetics, having authored 14 papers that have together received 253 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Genetic diversity and population structure (4 papers), Avian ecology and behavior (2 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Identification and Quantification in Food (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Pediatric Hepatobiliary Diseases and Treatments (1 paper). The work is most often cited by research in Aging (39 citations), Biochemistry (26 citations), Ecological Modeling (14 citations), Biological Psychiatry (6 citations) and Clinical Biochemistry (16 citations). Erjia Wang has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Michaël Wink, Markus Santhosh Braun, Stefan Zimmermann, Elizabeth Joubert, Ikhwan Resmala Sudji, B.-E. Van Wyk, Wei Chen, Sébastien Boutin, Rien E. van Wijk and Hermann Wagner. Their work appears in journals such as Systematic and Applied Microbiology, Diversity, Toxicological Sciences, Scientific Reports and Phytomedicine.

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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