Yanting Wen

690 citations
34 papers · 522 · h-index 14

Impact in

Papers in

    • Pancreatic function and diabetes 5
    • Tissue Engineering and Regenerative Medicine 3
    • Metabolism, Diabetes, and Cancer 3

Yanting Wen

33 papers receiving 511 citations

Peers

Yanting Wen
Comparison fields: 5 of 84
  • Genetics 58
  • Nutrition and Dietetics 66
  • Physiology 104
  • Endocrinology, Diabetes and Metabolism 62
  • Biochemistry 26
Replace Michelle Marchese with:
Michelle Marchese United States
Trine B. Opstad Norway
P. Garrido Portugal
Laura Piacente Italy
Zhixia Song China
Zhu-Wen Yi China
Yaping Fan China
Leonardo Gómez Rosso Argentina
Kimitaka Takitani Japan
Naohiro Yamashita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yanting Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 201564
3 201132
4 200931
5 202027
6 202326
7 201826
8 201620
9 202318
10 201716
11 200815
12 201314
13 201113
14 201113
15 201813
16 201212
17 201912
18 201112
19 201111
20 202210

About Yanting Wen

Yanting Wen is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Hematology, having authored 34 papers that have together received 522 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Mesenchymal stem cell research (5 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Genetics (58 citations), Nutrition and Dietetics (66 citations), Physiology (104 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Biochemistry (26 citations). Yanting Wen has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Qian Gao, Jian Ouyang, Haiyan Min, Jingjing Ding, Jinghong Dai, Long Yi, Jun Xie, Meng Li, Hourong Cai and Yi Zhuang. Their work appears in journals such as International Immunopharmacology, Expert Opinion on Biological Therapy, International Journal of Medical Sciences, Cell Reports and Journal of Cellular Physiology.

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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