Wanting Shi

857 citations
30 papers · 602 · h-index 12

Impact in

Papers in

Wanting Shi

28 papers receiving 598 citations

Peers

Wanting Shi
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 23
  • Obstetrics and Gynecology 39
  • Cardiology and Cardiovascular Medicine 100
  • Internal Medicine 14
  • Cancer Research 57
Replace Sophie‐Élise Michaud with:
Sophie‐Élise Michaud Canada
Mark Lipphardt Germany
Xiuzhen Li China
Yutaka Kakizoe Japan
Trine B. Opstad Norway
Ahmed Elwakiel Germany
Atai Watanabe Japan
Yingbin Xiao China
Yongzheng Guo China
Carlos Bueno‐Betí Spain
Wanting Shi relative to Sophie‐Élise Michaud Canada Sophie‐Élise Michaud's profile →
Citations per field
00.5×10×15×19×
Sophie‐Élise Michaud · 1×
Citations per year

Countries citing papers authored by Wanting Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 202297
3 201976
4 201744
5 201938
6 202132
7 202432
8 201931
9 201728
10 201712
11 202311
12 202011
13 202210
14 20189
15 20239
16 20237
17 20067
18 20256
19 20246
20 20236

About Wanting Shi

Wanting Shi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 602 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Hepatitis B Virus Studies (2 papers), Circular RNAs in diseases (2 papers), Hepatitis C virus research (2 papers), Mitochondrial Function and Pathology (2 papers), MicroRNA in disease regulation (2 papers), Pancreatic function and diabetes (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Geriatrics and Gerontology (23 citations), Obstetrics and Gynecology (39 citations), Cardiology and Cardiovascular Medicine (100 citations), Internal Medicine (14 citations) and Cancer Research (57 citations). Wanting Shi has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Rongjun Zou, Xinxin Chen, Li Ma, Na Zhou, Hao Zhou, Songran Yang, Ping Hua, Junxiong Qiu, Jun Tao and Na Du. Their work appears in journals such as Journal of Translational Medicine, Cell Metabolism, BMC Nephrology, Cardiovascular Diabetology and Frontiers in Oncology.

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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