Lang Wu

834 citations
35 papers · 630 · h-index 15

Impact in

Papers in

Lang Wu

31 papers receiving 622 citations

Peers

Lang Wu
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 139
  • Pollution 105
  • Aquatic Science 66
  • Nature and Landscape Conservation 79
  • Horticulture 5
Replace El-Sayed E. Mehana with:
El-Sayed E. Mehana Egypt
Shaohua Yan China
Nesrete Krasnići Croatia
Jianqing Zhu China
Masoud Sattari Iran
Panagiotis Berillis Greece
D. Levanon Israel
Si Li China
S.K. Shyama India
Lang Wu relative to El-Sayed E. Mehana Egypt El-Sayed E. Mehana's profile →
Citations per field
00.5×3.8×
El-Sayed E. Mehana · 1×
Citations per year

Countries citing papers authored by Lang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201856
3 201156
4 201351
5 201946
6 201637
7 201933
8 201929
9 201829
10 201927
11 202026
12 201524
13 201824
14 201917
15 201816
16 202114
17 202413
18 202312
19 201710
20 20199

About Lang Wu

Lang Wu is a scholar working on Molecular Biology, Plant Science, Health, Toxicology and Mutagenesis, Nature and Landscape Conservation and Aquatic Science, having authored 35 papers that have together received 630 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Fish Biology and Ecology Studies (6 papers), Plant Molecular Biology Research (5 papers), Marine and fisheries research (3 papers), Plant Virus Research Studies (3 papers), Reproductive biology and impacts on aquatic species (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (139 citations), Pollution (105 citations), Aquatic Science (66 citations), Nature and Landscape Conservation (79 citations) and Horticulture (5 citations). Lang Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zaizhao Wang, Yongjing Guan, Huolin Shen, Guo Zhang, Liang Sun, Jinqiu Liu, Yihao Wang, Chaoxiang Liu, Songguang Xie and Brian R. Murphy. Their work appears in journals such as Theoretical and Applied Genetics, Ecotoxicology and Environmental Safety, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, International Journal of Molecular Sciences and 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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