Shuwen Wan

755 citations
22 papers · 622 indexed · h-index 10
Co-authors
Pei QinJian ZhouGang LiJine LiuMei‐Chin ChenBiao ZhangLi YangXiping Liu
Topics
Statistical Methods and Inference (6 papers)Coastal wetland ecosystem dynamics (5 papers)Plant Stress Responses and Tolerance (4 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Shuwen Wan

20 papers receiving 594 citations

Peers

Shuwen Wan
Comparison fields: 5 of 89
  • Plant Science 286
  • Ecology 194
  • Molecular Biology 85
  • Pharmaceutical Science 56
  • Oceanography 56
Replace S.S. Sandhu with:
S.S. Sandhu United States
S. K. Dubey India
P. Panigrahi India
Virginie Ducrot France
James M. Patrick United States
Mahesh Kumar India
Xiao Chen China
J. N. Vohra India
Peter Toscas Australia
Yang China
Shuwen Wan relative to S.S. Sandhu United States S.S. Sandhu's profile →
Citations per field
00.5×10×15×18.7×
S.S. Sandhu · 1×
Citations per year

Countries citing papers authored by Shuwen Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shuwen Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwen Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuwen Wan. A scholar is included among the top collaborators of Shuwen Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuwen Wan. Shuwen Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 64
3 1
4
Adventitious root growth and relative physiological responses to waterlogging in the seedlings of seashore mallow ('Kosteletzkya virginica'), a biodiesel plant
10
5 2
6 0
7 4
8 0
9 1
10 1
11 8
12 2
13 127
14 18
15 226
16 36
17 4
18 15
19 26
20 32

About Shuwen Wan

Shuwen Wan is a scholar working on Statistics and Probability, Health Information Management and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 622 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Coastal wetland ecosystem dynamics (5 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Pharmaceutical Science (56 citations), Plant Science (286 citations) and Ecology (194 citations). Shuwen Wan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Pei Qin, Jian Zhou, Gang Li, Jine Liu, Mei‐Chin Chen, Biao Zhang, Li Yang, Xiping Liu, Yuqi Guo and Wenzong Zhou. Their work appears in journals such as The Journal of Immunology, Biomacromolecules and Statistics in Medicine.

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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