Xia Sheng

3.9k citations
125 papers · 2.7k · h-index 29

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Hippo pathway signaling and YAP/TAZ
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

Xia Sheng

118 papers receiving 2.6k citations

Peers

Xia Sheng
Comparison fields: 5 of 148
  • Cell Biology 456
  • Cancer Research 298
  • Reproductive Medicine 137
  • Hematology 164
  • Molecular Biology 878
Replace Kay W. Colston with:
Kay W. Colston United Kingdom
Daniele Tibullo Italy
Chaojun Li China
Patricia Ruíz Germany
Huai‐Dong Song China
Hong Yin China
M D’Armiento Italy
Peilin Zhang United States
Martin Gauster Austria
Jussi M. Halleen Finland
Xia Sheng relative to Kay W. Colston United Kingdom Kay W. Colston's profile →
Citations per field
00.5×9.0×
Kay W. Colston · 1×
Citations per year

Countries citing papers authored by Xia Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2013146
3 2017111
4 201588
5 201872
6 201369
7 201665
8 201163
9 201554
10 202052
11 201647
12 201946
13 201446
14 202144
15 201043
16 201441
17 201840
18 201439
19 201439
20 201539

About Xia Sheng

Xia Sheng is a scholar working on Molecular Biology, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 125 papers that have together received 2.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Neuroendocrine regulation and behavior (9 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Hypothalamic control of reproductive hormones (5 papers), Reproductive Physiology in Livestock (5 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cell Biology (456 citations), Cancer Research (298 citations), Reproductive Medicine (137 citations), Hematology (164 citations) and Molecular Biology (878 citations). Xia Sheng has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Steven D. Mittelman, Qihao Weng, Yang Jin, Fahri Saatcioglu, Thomas M. MacDonald, Michael J. Murphy, Jonathan Tucci, James W. Behan, Yingying Han and Wei Li. Their work appears in journals such as Journal of Reproduction and Development, Cancer Research, Scientific Reports, General and Comparative Endocrinology and Acta Histochemica.

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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