Li-Jun Zhao

881 citations
24 papers · 672 indexed · h-index 14
Topics
Paleontology and Evolutionary Biology (19 papers)Ichthyology and Marine Biology (15 papers)Evolution and Paleontology Studies (11 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Li-Jun Zhao

24 papers receiving 652 citations

Peers

Li-Jun Zhao
Comparison fields: 5 of 48
  • Paleontology 577
  • Nature and Landscape Conservation 478
  • Global and Planetary Change 85
  • Molecular Biology 49
  • Ecology 40
Replace Andreas T. Matzke with:
Andreas T. Matzke Germany
Felipe L. Pinheiro Brazil
Tim T. Tokaryk Canada
Paul M. A. Willis Australia
Stephanie K. Drumheller United States
D. S. Brown United Kingdom
Komsorn Lauprasert Thailand
Sarah Werning United States
Zhikun Gai China
Andrés Solórzano Venezuela
Li-Jun Zhao relative to Andreas T. Matzke Germany Andreas T. Matzke's profile →
Citations per field
00.5×2.6×
Andreas T. Matzke · 1×
Citations per year

Countries citing papers authored by Li-Jun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Li-Jun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Jun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Jun Zhao. A scholar is included among the top collaborators of Li-Jun Zhao 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 Li-Jun Zhao. Li-Jun Zhao 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
#WorkIndexed citations
1 1
2 5
3 8
4 14
5 13
6 18
7 25
8 22
9 13
10 34
11 45
12 40
13 264
14 13
15
A new genus of early triassic perleidid fish from Changxing, Zhejiang, China
7
16 34
17
A New Species of the Genus Bonetrura from Yunnan, Southwest China (Collembola : Isotomidae) (Special Papers in Honor of late Professor Ryozo Yoshii)
1
18
Three Species of Collembola From Yunnan,Southwest China (Apteygota)
1
19 4
20
Two Species of the Subfamily Tullbergiinae in Xishuangbanna, Southwest China (Collembola; Onychiuridae)
1

About Li-Jun Zhao

Li-Jun Zhao is a scholar working on Paleontology, Nature and Landscape Conservation and Geology, having authored 24 papers that have together received 672 indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (19 papers), Ichthyology and Marine Biology (15 papers) and Evolution and Paleontology Studies (11 papers). The work is most often cited by research in Paleontology (577 citations), Nature and Landscape Conservation (478 citations) and Global and Planetary Change (85 citations). Li-Jun Zhao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liting Wang, Xiao‐Chun Wu, Olivier Rieppel, Chun Li, Chun Li, Guanghui Xu, Tamaki Sato, Ke‐Qin Gao, Feixiang Wu and Michael I. Coates. Their work appears in journals such as Nature, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

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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