Sihui Wang

1.0k citations
55 papers · 642 · h-index 13

Impact in

Papers in

    • Kruppel-like factors research 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5

Sihui Wang

45 papers receiving 640 citations

Peers

Sihui Wang
Comparison fields: 5 of 104
  • Biochemistry 192
  • Cell Biology 93
  • Molecular Biology 330
  • Physiology 19
  • Cancer Research 51
Replace Erzsébet Polyák with:
Erzsébet Polyák United States
Lionel Forestier France
Hiromichi Sakai Japan
Gregory J. Weber United States
Emilia Maneiro Spain
An‐Ping Chen United States
Jingming Zhou China
Jeffrey McDermott United States
Seung Hyeon Kim South Korea
Méthode Bacanamwo United States
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Citations per field
00.5×3.3×
Erzsébet Polyák · 1×
Citations per year

Countries citing papers authored by Sihui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sihui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 2018116
3 202055
4 202143
5 202125
6 202323
7 202122
8 202216
9 202416
10 201116
11 200914
12 200813
13 201013
14 202212
15 200412
16 202411
17 20229
18 20228
19 20238
20 20238

About Sihui Wang

Sihui Wang is a scholar working on Molecular Biology, Genetics, Plant Science, Pulmonary and Respiratory Medicine and Rheumatology, having authored 55 papers that have together received 642 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Soybean genetics and cultivation (4 papers), Lipid metabolism and biosynthesis (3 papers), Reproductive Biology and Fertility (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Kruppel-like factors research (2 papers), Plant responses to water stress (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). The work is most often cited by research in Biochemistry (192 citations), Cell Biology (93 citations), Molecular Biology (330 citations), Physiology (19 citations) and Cancer Research (51 citations). Sihui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Pedro Carvalho, Christer S. Ejsing, Martin Hermansson, Fátima-Zahra Idrissi, Philippa Melamed, Nan Sun, Dalila Ajjaji, Rainer Beck, Abdou Rachid Thiam and Kalthoum Ben M’Barek. Their work appears in journals such as Poultry Science, Animals, Plant Cell & Environment, Journal of Animal Science and Developmental Cell.

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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