Jing Lü

2.9k citations
87 papers · 1.7k indexed · h-index 23

Impact in

    • Paleontology and Evolutionary Biology
    • Evolution and Paleontology Studies
    • Paleontology and Stratigraphy of Fossils
    • Ichthyology and Marine Biology
    • Fish biology, ecology, and behavior

Papers in

Jing Lü

83 papers receiving 1.7k citations

Peers

Jing Lü
Comparison fields: 5 of 143
  • Paleontology 672
  • Nature and Landscape Conservation 518
  • Pollution 117
  • Neurology 82
  • Biological Psychiatry 19
Replace R. S. Rana with:
R. S. Rana India
Tao Su China
Michael Schubert France
Magnus Ivarsson Sweden
Thomas Bauer Germany
Tatsuya Sakamoto Japan
Thomas Hankeln Germany
Weiping Zhang China
Paolo Mariottini Italy
Yu‐Sheng Liu China
Jing Lü relative to R. S. Rana India R. S. Rana's profile →
Citations per field
00.5×
R. S. Rana · 1×
Citations per year

Countries citing papers authored by Jing Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202119
4 20212
5 202129
6 202111
7 202022
8 202019
9 20193
10 20198
11 20198
12 201958
13 201810
14 201742
15 201618
16 201440
17 20136
18 201219
19 201256
20
Expression of NMDA receptor subunit NR1 mRNA during postnatal development of the rat auditory cortex
20031

About Jing Lü

Jing Lü is a scholar working on Paleontology, Nature and Landscape Conservation, Ophthalmology, Geology and Pollution, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (26 papers), Ichthyology and Marine Biology (21 papers), Evolution and Paleontology Studies (17 papers), Fish biology, ecology, and behavior (8 papers), Ophthalmology and Visual Impairment Studies (5 papers), Alzheimer's disease research and treatments (5 papers), Microbial bioremediation and biosurfactants (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Paleontology (672 citations), Nature and Landscape Conservation (518 citations), Pollution (117 citations), Neurology (82 citations) and Biological Psychiatry (19 citations). Jing Lü has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Min Zhu, Wenjin Zhao, Tuo Qiao, Liantao Jia, Rongqiao He, Qingming Qu, Jun-Ye MIAO, You-an Zhu, Per Ahlberg and Xiaobo Yu. Their work appears in journals such as Palaeoworld, Nature Communications, Current Biology, Royal Society Open Science and Nature.

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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