Si Wang

122 papers receiving 4.2k citations

Hit Papers

Exosomes from adipose-derived stem cells regulate M1/M2 macrophage phenotypic polarization to promote bone healing via miR-451a/MIF 2022 · 134 citations
13420222026202320244080120

Peers

Si Wang
Comparison fields: 5 of 160
  • Aging 347
  • Geriatrics and Gerontology 168
  • Cancer Research 637
  • Molecular Biology 2.5k
  • Physiology 582
Replace Chong Chen with:
Chong Chen China
Ming‐Yu Yang Taiwan
Chengyu Liu United States
Nozomu Mori Japan
Lin Gao China
Zhongjun Zhou Hong Kong
Takuya Yamamoto Japan
Dali Li China
James Adjaye Germany
Toru Nakazawa Japan
Si Wang relative to Chong Chen China Chong Chen's profile →
Citations per field
00.5×1.5×1.9×
Chong Chen · 1×
Citations per year

Countries citing papers authored by Si Wang

Since Specialization
Citations

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

Fields of papers citing papers by Si Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013316
2 2020231
3 2020208
4
Exosomes from adipose-derived stem cells regulate M1/M2 macrophage phenotypic polarization to promote bone healing via miR-451a/MIF
Hit paper breakdown →
2022134
5 2020131
6 2019123
7 2021119
8 2022112
9 2021108
10 2020105
11 2022102
12 202095
13 201794
14 202283
15 201681
16 201980
17 202076
18 202172
19 201466
20 202065

About Si Wang

Si Wang is a scholar working on Aging, Geriatrics and Gerontology, Molecular Biology, Horticulture and Cancer Research, having authored 127 papers that have together received 4.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), CRISPR and Genetic Engineering (9 papers), Epigenetics and DNA Methylation (9 papers), Telomeres, Telomerase, and Senescence (9 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Aging (347 citations), Geriatrics and Gerontology (168 citations), Cancer Research (637 citations), Molecular Biology (2.5k citations) and Physiology (582 citations). Si Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Jing Qu, Guang‐Hui Liu, Weiqi Zhang, Moshi Song, Juan Carlos Izpisúa Belmonte, Zunpeng Liu, Shuai Ma, Piu Chan, Jie Ren and Zeming Wu. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Cell stem cell, Nature Aging and Advanced Materials Interfaces.

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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