Lie Wang

1.0k citations
32 papers · 725 · h-index 13

Impact in

Papers in

    • RNA and protein synthesis mechanisms 5
    • Ubiquitin and proteasome pathways 4
    • ATP Synthase and ATPases Research 3
    • Neuroscience and Neuropharmacology Research 4
    • Neuroscience and Neural Engineering 3
    • Neurotransmitter Receptor Influence on Behavior 2

Lie Wang

30 papers receiving 718 citations

Peers

Lie Wang
Comparison fields: 5 of 95
  • Biochemistry 56
  • Cellular and Molecular Neuroscience 127
  • Molecular Biology 375
  • Endocrine and Autonomic Systems 32
  • Cell Biology 71
Replace Daniel P. Morris with:
Daniel P. Morris United States
Luı́sa Azevedo Portugal
Victoria Wong Canada
Jakob M. Bader Germany
Steven G. Matsumoto United States
Juliana Heidler Germany
Bryce A. Mendelsohn United States
Taraka Donti United States
Konstantinos Lefkimmiatis Italy
Takashi Nakakura Japan
Lie Wang relative to Daniel P. Morris United States Daniel P. Morris's profile →
Citations per field
00.5×3.8×
Daniel P. Morris · 1×
Citations per year

Countries citing papers authored by Lie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 202091
3 200558
4 202058
5 202152
6 201143
7 200540
8 201038
9 200633
10 201331
11 200522
12 200315
13 202313
14 201612
15 201511
16 202410
17 20249
18 20039
19 20238
20 20247

About Lie Wang

Lie Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 32 papers that have together received 725 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Ubiquitin and proteasome pathways (4 papers), Neuroscience and Neuropharmacology Research (4 papers), ATP Synthase and ATPases Research (3 papers), Neuroscience and Neural Engineering (3 papers), Neurological disorders and treatments (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biochemistry (56 citations), Cellular and Molecular Neuroscience (127 citations), Molecular Biology (375 citations), Endocrine and Autonomic Systems (32 citations) and Cell Biology (71 citations). Lie Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ming Zhou, S.T. Kitai, Zixiu Xiang, Huchen Zhou, Yaxue Zhao, Yanhua Chen, Qun Lu, Arthur Laganowsky, Zhenning Ren and Nieng Yan. Their work appears in journals such as Nature Communications, eLife, The Journal of Comparative Neurology, Bioorganic & Medicinal Chemistry Letters and Journal of Neuroendocrinology.

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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