Songli Wang

4.5k citations
88 papers · 3.4k indexed · 2 hit papers · h-index 29

Impact in

Papers in

Songli Wang

81 papers receiving 3.3k citations

Hit Papers

Identification of a Novel Family of Oligodendrocyte Lineage-Specific Basic Helix–Loop–Helix Transcription Factors 2000 · 638 citations
6381998202620072016200400600

Peers

Songli Wang
Comparison fields: 5 of 151
  • Developmental Neuroscience 951
  • Neurology 369
  • Biomaterials 358
  • Cancer Research 411
  • Molecular Biology 1.6k
Replace Donna J. Webb with:
Donna J. Webb United States
Jürgen Schlegel Germany
Khalid Shah United States
Hiroyuki Miyoshi Japan
Hans‐Hermann Gerdes Germany
Susan Magdaleno United States
James E. Bear United States
Miguel Vicente‐Manzanares Spain
Elmar Endl Germany
Sean Lawler United States
Songli Wang relative to Donna J. Webb United States Donna J. Webb's profile →
Citations per field
00.5×4.6×
Donna J. Webb · 1×
Citations per year

Countries citing papers authored by Songli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202511
2 20252
3 20242
4 20243
5 20241
6 202351
7 20238
8 20230
9 20230
10 20224
11 20224
12 202114
13 202060
14 201938
15 201938
16 201898
17 201869
18 201649
19
Identification of a Novel Family of Oligodendrocyte Lineage-Specific Basic Helix–Loop–Helix Transcription Factors
Hit paper breakdown →
2000638
20 1995107

About Songli Wang

Songli Wang is a scholar working on Developmental Neuroscience, Biomaterials, Structural Biology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 88 papers that have together received 3.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (23 papers), RNA Interference and Gene Delivery (18 papers), Nanoparticle-Based Drug Delivery (10 papers), Optical Network Technologies (10 papers), Mechanical and Optical Resonators (9 papers), Advanced MEMS and NEMS Technologies (8 papers), Advanced Fiber Laser Technologies (8 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Developmental Neuroscience (951 citations), Neurology (369 citations), Biomaterials (358 citations), Cancer Research (411 citations) and Molecular Biology (1.6k citations). Songli Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David J. Anderson, Qiao Zhou, Ben A. Barres, Andrei D. Sdrulla, Gerry Weinmaster, Weiyue Lu, Runtao He, Jane E. Johnson, Yoshifumi Yokota and Cao Xie. Their work appears in journals such as Journal of Controlled Release, Neuron, Acta Pharmaceutica Sinica B, ACS Applied Materials & Interfaces and Molecular Therapy — Methods & Clinical Development.

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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