Duo Jiang

1.1k citations
31 papers · 789 · h-index 14

Impact in

Papers in

    • Gut microbiota and health 4
    • Metabolomics and Mass Spectrometry Studies 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Bioinformatics and Genomic Networks 3
    • Genetic Associations and Epidemiology 5
    • Genetic and phenotypic traits in livestock 3
    • Genetic Mapping and Diversity in Plants and Animals 3

Duo Jiang

30 papers receiving 769 citations

Peers

Duo Jiang
Comparison fields: 5 of 111
  • Complementary and alternative medicine 72
  • Pharmacology 70
  • Biological Psychiatry 12
  • Animal Science and Zoology 51
  • Molecular Biology 333
Replace Kwang‐Soo Baek with:
Kwang‐Soo Baek South Korea
Chunwei Zeng China
Lidija Šver Croatia
Jiakang He China
Xiaoxue Chen China
Haifeng Yang China
P. Selvaraj India
Xiaoyu Zhang China
Ragothaman Prathiviraj India
Hyoung Chin Kim South Korea
Duo Jiang relative to Kwang‐Soo Baek South Korea Kwang‐Soo Baek's profile →
Citations per field
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Kwang‐Soo Baek · 1×
Citations per year

Countries citing papers authored by Duo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Duo Jiang, 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 Duo Jiang Line = papers co-authored together Duo Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010248
2 2019118
3 201461
4 201957
5 201339
6 202030
7 202023
8 201622
9 202121
10 201821
11 202219
12 201914
13 202313
14 201513
15 202012
16 201611
17 202210
18 20219
19 20238
20 20177

About Duo Jiang

Duo Jiang is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Global and Planetary Change, having authored 31 papers that have together received 789 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Gut microbiota and health (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Genetic and phenotypic traits in livestock (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Bioinformatics and Genomic Networks (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Complementary and alternative medicine (72 citations), Pharmacology (70 citations), Biological Psychiatry (12 citations), Animal Science and Zoology (51 citations) and Molecular Biology (333 citations). Duo Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bo Zhang, Ningbo Zhang, Yingying Wei, Shao Li, Mary Sara McPeek, Thomas J. Sharpton, Yuan Jiang, Chuan Tian, Courtney R. Armour and Mei Meng. Their work appears in journals such as PLoS Genetics, Nutrients, Frontiers in Genetics, mSystems and Toxins.

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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