Guoli Ji

1.6k citations
58 papers · 1.2k · h-index 16

Impact in

    • Lipid metabolism and biosynthesis
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies

Papers in

    • RNA Research and Splicing 22
    • RNA and protein synthesis mechanisms 17
    • RNA modifications and cancer 16
    • Genomics and Chromatin Dynamics 5
    • Genomics and Phylogenetic Studies 4
    • Cancer-related gene regulation 4

Guoli Ji

57 papers receiving 1.1k citations

Peers

Guoli Ji
Comparison fields: 5 of 112
  • Biochemistry 151
  • Molecular Biology 805
  • Plant Science 324
  • Endocrinology 33
  • Accounting 59
Replace Guoli Ji with:
Guoli Ji China
Xiaohui Cheng China
Kun Liang China
Marie‐Laure Martin‐Magniette France
Björn H. Junker Germany
Mary Schaeffer United States
Zhaohong Li China
Falk Schreiber Germany
Linda I. Hannick United States
Erin M. Conlon United States
Guoli Ji relative to Guoli Ji China Guoli Ji's profile →
Citations per field
00.5×10×14.8×
Guoli Ji · 1×
Citations per year

Countries citing papers authored by Guoli Ji

Since Specialization
Citations

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

Fields of papers citing papers by Guoli Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011232
2 2008131
3 201291
4 201180
5 201659
6 200741
7 201938
8 201232
9 201730
10 201427
11 201527
12 202026
13 201926
14 201822
15 201421
16 201117
17 201514
18 201914
19 201913
20 202113

About Guoli Ji

Guoli Ji is a scholar working on Molecular Biology, Artificial Intelligence, Control and Systems Engineering, Plant Science and Biochemistry, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (22 papers), RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (16 papers), Plant Molecular Biology Research (5 papers), Genomics and Chromatin Dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers), Lipid metabolism and biosynthesis (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Biochemistry (151 citations), Molecular Biology (805 citations), Plant Science (324 citations), Endocrinology (33 citations) and Accounting (59 citations). Guoli Ji has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaohui Wu, Qingshun Quinn Li, Arthur G. Hunt, Man Liu, Zijiang Yang, Chun Liang, Bruce Downie, Yingjia Shen, Wenjie You and Congting Ye. Their work appears in journals such as Bioinformatics, Knowledge-Based Systems, BMC Genomics, PLANT PHYSIOLOGY and Briefings in Bioinformatics.

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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