Shushu Wang

768 citations
37 papers · 562 · h-index 15

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Fibroblast Growth Factor Research 4
    • Epigenetics and DNA Methylation 3
    • Breast Cancer Treatment Studies 5

Shushu Wang

36 papers receiving 559 citations

Peers

Shushu Wang
Comparison fields: 5 of 82
  • Cancer Research 97
  • Geriatrics and Gerontology 19
  • Molecular Biology 235
  • Oncology 73
  • Cell Biology 39
Replace Daniel Margerie with:
Daniel Margerie Germany
Tobias Ackermann Netherlands
Lei Han China
Paradesi Naidu Gollavilli United States
Katarína Kľučková United Kingdom
Adriana Papadimitropoulou Greece
Xuelian Ren China
Lianhui Sun China
Palak R. Parekh United States
Shushu Wang relative to Daniel Margerie Germany Daniel Margerie's profile →
Citations per field
00.5×2.8×
Daniel Margerie · 1×
Citations per year

Countries citing papers authored by Shushu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shushu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 201742
3 201838
4 202137
5 202132
6 202231
7 202131
8 202030
9 201325
10 201624
11 201923
12 202221
13 201718
14 201818
15 201818
16 202114
17 202214
18 201914
19 202412
20 201911

About Shushu Wang

Shushu Wang is a scholar working on Molecular Biology, Cancer Research, Physiology, Surgery and Oncology, having authored 37 papers that have together received 562 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Fibroblast Growth Factor Research (4 papers), Cancer Treatment and Pharmacology (3 papers), Adipose Tissue and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cancer Research (97 citations), Geriatrics and Gerontology (19 citations), Molecular Biology (235 citations), Oncology (73 citations) and Cell Biology (39 citations). Shushu Wang has collaborated with scholars based in China, Cayman Islands and Hong Kong. Frequent co-authors include Yueyang Liang, Libin Zhou, Feiye Zhou, Yi Zhang, Yi Zhang, Xiujuan Wu, Jun Jiang, Ke-Cheng Zhu, Qin Zhu and Baoquan Hu. Their work appears in journals such as Cell Death and Disease, Journal of Molecular Endocrinology, Organic & Biomolecular Chemistry, Scientific Reports and JAMA Surgery.

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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