Anjiang Tan

2.8k citations
37 papers · 1.8k · h-index 27

Impact in

Papers in

    • Insect Resistance and Genetics 20
    • Viral Infectious Diseases and Gene Expression in Insects 10
    • CRISPR and Genetic Engineering 10
    • Silkworms and Sericulture Research 8
    • Insect Utilization and Effects 4

Anjiang Tan

35 papers receiving 1.8k citations

Peers

Anjiang Tan
Comparison fields: 5 of 73
  • Insect Science 808
  • Cellular and Molecular Neuroscience 561
  • Aging 34
  • Biomaterials 235
  • Genetics 457
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Anjiang Tan relative to Masataka G. Suzuki Japan Masataka G. Suzuki's profile →
Citations per field
00.5×1.5×1.8×
Masataka G. Suzuki · 1×
Citations per year

Countries citing papers authored by Anjiang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Anjiang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 2013115
3 2007115
4 2008102
5 2010100
6 201787
7 201484
8 201381
9 201681
10 200773
11 201768
12 201754
13 201554
14 201651
15 201750
16 201346
17 201545
18 201544
19 201842
20 201641

About Anjiang Tan

Anjiang Tan is a scholar working on Molecular Biology, Insect Science, Genetics, Cellular and Molecular Neuroscience and Biomaterials, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (20 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), CRISPR and Genetic Engineering (10 papers), Silk-based biomaterials and applications (8 papers), Neurobiology and Insect Physiology Research (8 papers), Silkworms and Sericulture Research (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Insect Utilization and Effects (4 papers). The work is most often cited by research in Insect Science (808 citations), Cellular and Molecular Neuroscience (561 citations), Aging (34 citations), Biomaterials (235 citations) and Genetics (457 citations). Anjiang Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Subba Reddy Palli, Yongping Huang, Jun Xu, Baosheng Zeng, Zhiqian Li, Anthony A. James, Jingjing Xu, Hua Bai, Xie Ge and Ling Lin. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Insect Molecular Biology, Journal of Insect Physiology, Proceedings of the National Academy of Sciences and PLoS Genetics.

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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