Yan Yi

886 citations
36 papers · 612 · h-index 15

Impact in

Papers in

    • Protein Degradation and Inhibitors 3
    • Epigenetics and DNA Methylation 2
    • Acute Myeloid Leukemia Research 3

Yan Yi

33 papers receiving 602 citations

Peers

Yan Yi
Comparison fields: 5 of 72
  • Hematology 81
  • Reproductive Medicine 57
  • Oncology 137
  • Pediatrics, Perinatology and Child Health 70
  • Cancer Research 56
Replace Monica Taborelli with:
Monica Taborelli Italy
Behzad Kharabi Masouleh United States
Jingdong Shan Finland
Timothy J. O’Brien United States
J.A. Irving Canada
Joo-Seop Park United States
Oddrun Elise Olsen Norway
Cemaliye Boylu Akyerli Türkiye
Daniela Perotti Italy
Anneleen Beckers Belgium
Yan Yi relative to Monica Taborelli Italy Monica Taborelli's profile →
Citations per field
00.5×
Monica Taborelli · 1×
Citations per year

Countries citing papers authored by Yan Yi

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201098
2 201857
3 201850
4 202246
5 201340
6 202135
7 201833
8 202132
9 201929
10 201219
11 201318
12 202317
13 201417
14 201416
15 201815
16 201813
17 202412
18 202012
19 20249
20 20198

About Yan Yi

Yan Yi is a scholar working on Molecular Biology, Hematology, Physiology, Surgery and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 612 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (4 papers), Protein Degradation and Inhibitors (3 papers), Esophageal Cancer Research and Treatment (3 papers), Acute Myeloid Leukemia Research (3 papers), Neonatal Health and Biochemistry (2 papers), Nanowire Synthesis and Applications (2 papers), Epigenetics and DNA Methylation (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Hematology (81 citations), Reproductive Medicine (57 citations), Oncology (137 citations), Pediatrics, Perinatology and Child Health (70 citations) and Cancer Research (56 citations). Yan Yi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xi Huang, Jing Zhao, Shenghao Jin, Alan M. Gewirtz, Huiwu Zhao, Yuji Nakata, Anna Kalota, Yanping Li, Yanping Li and Bin Xu. Their work appears in journals such as Cell Discovery, Reproductive Biology and Endocrinology, Clinica Chimica Acta, Journal of Hematology & Oncology and Ecotoxicology and Environmental Safety.

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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