Le Liu

680 total citations
39 papers, 412 citations indexed

About

Le Liu is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Le Liu has authored 39 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Plant Science. Recurrent topics in Le Liu's work include Plant Diversity and Evolution (16 papers), Plant and Fungal Species Descriptions (12 papers) and Paleontology and Stratigraphy of Fossils (7 papers). Le Liu is often cited by papers focused on Plant Diversity and Evolution (16 papers), Plant and Fungal Species Descriptions (12 papers) and Paleontology and Stratigraphy of Fossils (7 papers). Le Liu collaborates with scholars based in China, United States and Canada. Le Liu's co-authors include Deming Wang, Jinzhuang Xue, Michelle Facette, Pu Huang, James F. Basinger, M. Arif Ashraf, Yun Guo, Man‐Qun Wang, Xinjun Hu and Ze Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Le Liu

32 papers receiving 396 citations

Peers

Le Liu
Comparison fields: 5 of 51
  • Molecular Biology 222
  • Ecology, Evolution, Behavior and Systematics 186
  • Plant Science 166
  • Paleontology 119
  • Atmospheric Science 24
Replace Maria Rosaria Barone Lumaga with:
Maria Rosaria Barone Lumaga Italy
Svetlana Polevova Russia
Xiaoya Ma China
Juan L. García Massini Argentina
Terry A. Lott United States
Patrick Knopf Germany
María C. Zamaloa Argentina
Tingting Shen China
Andrew B. Schwendemann United States
Lisa D. Boucher United States
Maria Rosaria Barone Lumaga Italy View profile →
Citations per field, relative to Le Liu
Le Liu · 1×
Citations per year, relative to Le Liu
Le Liu · 1×

Countries citing papers authored by Le Liu

Since Specialization
Citations

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

Fields of papers citing papers by Le Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Liu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 2
6 1
7 10
8 13
9 5
10 13
11 0
12 3
13 19
14 2
15 14
16 6
17 17
18 15
19 11
20
[Ebstein disease in a brother and in a sister].
1

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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