Shuling Wu

1.2k citations
57 papers · 715 indexed · h-index 14

Impact in

Papers in

    • Hepatitis B Virus Studies 19
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis C virus research 19
    • Hepatitis Viruses Studies and Epidemiology 5

Shuling Wu

53 papers receiving 677 citations

Peers

Shuling Wu
Comparison fields: 5 of 140
  • Library and Information Sciences 35
  • Hepatology 130
  • Language and Linguistics 99
  • Business and International Management 16
  • Developmental and Educational Psychology 83
Replace Ruth Pilkington with:
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Shuling Wu relative to Ruth Pilkington United Kingdom Ruth Pilkington's profile →
Citations per field
00.5×10×15×20×24.8×
Ruth Pilkington · 1×
Citations per year

Countries citing papers authored by Shuling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 201373
3 201255
4 200755
5 201340
6 202135
7 201633
8 201623
9 200621
10 202120
11 201420
12 201717
13 201015
14 201914
15 201813
16 201913
17 201812
18 202212
19 201711
20 201811

About Shuling Wu

Shuling Wu is a scholar working on Epidemiology, Hepatology, Developmental and Educational Psychology, Language and Linguistics and Experimental and Cognitive Psychology, having authored 57 papers that have together received 715 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (11 papers), EFL/ESL Teaching and Learning (7 papers), Second Language Acquisition and Learning (6 papers), Language, Metaphor, and Cognition (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers) and Categorization, perception, and language (4 papers). The work is most often cited by research in Library and Information Sciences (35 citations), Hepatology (130 citations), Language and Linguistics (99 citations), Business and International Management (16 citations) and Developmental and Educational Psychology (83 citations). Shuling Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chiu‐Ping Hsu, Lourdes Ortega, Suresh Radhakrishnan, Jun Cheng, Minghui Li, Leiping Hu, Yao Lu, Ge Shen, Min Chang and Shunai Liu. Their work appears in journals such as Frontiers in Immunology, Studies in Second Language Acquisition, Languages, Foreign Language Annals and American Journal of Cancer Research.

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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