Litao Yang

4.4k citations
138 papers · 3.4k indexed · h-index 34
    • Genetically Modified Organisms Research 62
    • CRISPR and Genetic Engineering 76
    • Advanced biosensing and bioanalysis techniques 17
    • Insect Resistance and Genetics 17
    • Molecular Biology Techniques and Applications 14
    • Identification and Quantification in Food 13
    • Biosensors and Analytical Detection 17
    • Animal Genetics and Reproduction 20

Litao Yang

134 papers receiving 3.3k citations

Peers

Litao Yang
Comparison fields: 5 of 125
  • Plant Science 1.6k
  • Molecular Biology 2.4k
  • Endocrinology 136
  • Biotechnology 213
  • Biomedical Engineering 699
Replace Jana Žel with:
Jana Žel Slovenia
Karin Martin Germany
Abdul Munir Abdul Murad Malaysia
Ian N. Roberts United Kingdom
Javier Arroyo Spain
Won‐Bo Shim United States
Sergio Rosales‐Mendoza Mexico
Vera Meyer Germany
Neil Brown United Kingdom
Baishi Hu China
Litao Yang relative to Jana Žel Slovenia Jana Žel's profile →
Citations per field
00.5×1.5×2.3×
Jana Žel · 1×
Citations per year

Countries citing papers authored by Litao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Litao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20240
5 202413
6 20244
7 202351
8 20229
9 20218
10 20194
11 20195
12 20187
13 201741
14 201713
15 201518
16 201516
17 201126
18 201157
19 201141
20 200886

About Litao Yang

Litao Yang is a scholar working on Endocrinology, Plant Science and Molecular Biology, having authored 138 papers that have together received 3.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (76 papers), Genetically Modified Organisms Research (62 papers), Animal Genetics and Reproduction (20 papers), Biosensors and Analytical Detection (17 papers), Advanced biosensing and bioanalysis techniques (17 papers), Insect Resistance and Genetics (17 papers), Molecular Biology Techniques and Applications (14 papers) and Identification and Quantification in Food (13 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (2.4k citations) and Endocrinology (136 citations). Litao Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Dabing Zhang, Dabing Zhang, Jinchao Guo, Jianxin Shi, Yee‐Chia Yeo, Aihu Pan, Jun Hong, Yue Yang, Liangwen Pan and Lu Fan. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

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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