Ling‐Jian Gui

439 citations
18 papers · 206 · h-index 6

Impact in

Papers in

    • Plant and Fungal Species Descriptions 10
    • Genomics and Phylogenetic Studies 7
    • Natural product bioactivities and synthesis 3
    • Plant chemical constituents analysis 7

Ling‐Jian Gui

15 papers receiving 206 citations

Peers

Ling‐Jian Gui
Comparison fields: 5 of 32
  • Ecology, Evolution, Behavior and Systematics 73
  • Plant Science 104
  • Cell Biology 45
  • Molecular Biology 162
  • Pharmacology 20
Replace Pamela Moon with:
Pamela Moon United States
Xianmei Yin China
QIONG YUAN China
Sven Landrein China
Ming-He Li China
O. Terai Japan
Shreeti Pradhan Nepal
Т. А. Остроумова Russia
Venkataiah Peddaboina India
Kangzhuo Ye China
Ling‐Jian Gui relative to Pamela Moon United States Pamela Moon's profile →
Citations per field
00.5×4.2×
Pamela Moon · 1×
Citations per year

Countries citing papers authored by Ling‐Jian Gui

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Jian Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Jian Gui. 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 Ling‐Jian Gui. The network helps show where Ling‐Jian Gui may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202165
2 202056
3 202040
4 202214
5 20235
6 20185
7 20205
8 20184
9 20203
10 20203
11 20202
12 20221
13 20241
14 20221
15 20211
16 20250
17 20250
18 20240

About Ling‐Jian Gui

Ling‐Jian Gui is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Pharmacology, having authored 18 papers that have together received 206 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (10 papers), Genomics and Phylogenetic Studies (7 papers), Plant chemical constituents analysis (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Genetic diversity and population structure (4 papers), Natural product bioactivities and synthesis (3 papers), Alkaloids: synthesis and pharmacology (3 papers) and Plant Taxonomy and Phylogenetics (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (73 citations), Plant Science (104 citations), Cell Biology (45 citations), Molecular Biology (162 citations) and Pharmacology (20 citations). Ling‐Jian Gui has collaborated with scholars based in China and Czechia. Frequent co-authors include Deng‐Feng Xie, Xing‐Jin He, Ting Ren, Jun Wen, Megan Price, Xian‐Lin Guo, Yingying Liu, Zixuan Li, Yiqi Deng and Shaofeng Jiang. Their work appears in journals such as Phytotaxa, Journal of Systematics and Evolution, Gene, BMC Genomics and BMC Plant Biology.

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.

Explore authors with similar magnitude of impact