Changli Ge

587 citations
7 papers · 365 · 1 hit paper · h-index 4

Impact in

Papers in

Changli Ge

7 papers receiving 360 citations

Changli Ge's Hit Papers

OmicStudio: A composable bioinformatics cloud platform with real‐time feedback that can generate high‐quality graphs for publication 2023 · 182 citations
1820+1+2Years since publication50100150

Peers

Changli Ge
Comparison fields: 5 of 91
  • Aging 46
  • Endocrine and Autonomic Systems 37
  • Animal Science and Zoology 55
  • Biological Psychiatry 9
  • Genetics 81
Replace Woori Kwak with:
Woori Kwak South Korea
Ana Paula Mulet Uruguay
Sharon A Norton United States
Rongyan Zhou China
E.H. Wall United States
Andrew E. Rosselot United States
Yangqing Lu China
Keqiong Tang China
Javier Masot Spain
Changli Ge relative to Woori Kwak South Korea Woori Kwak's profile →
Citations per field
00.5×6.6×
Woori Kwak · 1×
Citations per year

Countries citing papers authored by Changli Ge

Since Specialization
Citations

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

Fields of papers citing papers by Changli Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
OmicStudio: A composable bioinformatics cloud platform with real‐time feedback that can generate high‐quality graphs for publication
Hit paper breakdown →
2023182
2 2020110
3 201559
4 20186
5 20223
6 20223
7 20222

About Changli Ge

Changli Ge is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Infectious Diseases and Endocrine and Autonomic Systems, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Plant and animal studies (1 paper), Mycorrhizal Fungi and Plant Interactions (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Electronic Packaging and Soldering Technologies (1 paper), Genomics and Phylogenetic Studies (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Aging (46 citations), Endocrine and Autonomic Systems (37 citations), Animal Science and Zoology (55 citations), Biological Psychiatry (9 citations) and Genetics (81 citations). Changli Ge has collaborated with scholars based in China and Canada. Frequent co-authors include Li Chen, Qiulei Lang, Chao Fang, Guoguo Chen, Weikang Mao, Yinghui Wei, Kui Xu, Haitao Shang, Shaohua Hou and Yanrong Zhou. Their work appears in journals such as eLife, Nature Communications, PhytoKeys and SHILAP Revista de lepidopterología.

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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