Jingyi Li

968 total citations · 1 hit paper
7 papers, 617 citations indexed

About

Jingyi Li is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Jingyi Li has authored 7 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jingyi Li's work include Plant Gene Expression Analysis (2 papers), Tea Polyphenols and Effects (2 papers) and Genomics and Chromatin Dynamics (2 papers). Jingyi Li is often cited by papers focused on Plant Gene Expression Analysis (2 papers), Tea Polyphenols and Effects (2 papers) and Genomics and Chromatin Dynamics (2 papers). Jingyi Li collaborates with scholars based in China and United States. Jingyi Li's co-authors include Shaorong Gao, Jiayu Chen, Wenqiang Liu, Chenfei Wang, Haibo Gao, Xiaoyu Liu, Hong Wang, Chong Li, Yawei Gao and Xiaochen Kou and has published in prestigious journals such as Nature, Genetics and Frontiers in Plant Science.

In The Last Decade

Jingyi Li

6 papers receiving 609 citations

Hit Papers

Distinct features of H3K4me3 and H3K27me3 chromatin domai... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Jingyi Li
Comparison fields: 5 of 63
  • Molecular Biology 551
  • Public Health, Environmental and Occupational Health 88
  • Plant Science 80
  • Pediatrics, Perinatology and Child Health 76
  • Genetics 74
Replace Fei‐Man Hsu with:
Fei‐Man Hsu United States
Zhong Zheng China
Qiangzong Yin United States
Yun‐Wen Wu China
Mary-Ann Mastrangelo United States
Xing‐Hui Shen China
Xiaobo Xia China
Fei-Da Ni China
Man‐Xi Jiang China
Nicholas J. Marini United States
Fei‐Man Hsu United States View profile →
Citations per field, relative to Jingyi Li
Jingyi Li · 1×
Citations per year, relative to Jingyi Li
Jingyi Li · 1×

Countries citing papers authored by Jingyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyi Li. A scholar is included among the top collaborators of Jingyi Li 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 Jingyi Li. Jingyi Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 0
2 4
3 3
4 23
5 18
6
Distinct features of H3K4me3 and H3K27me3 chromatin domains in pre-implantation embryos breakdown →
519
7 50

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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