Di Yin

2.5k citations
73 papers · 1.7k indexed · 3 hit papers · h-index 21
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)Electrocatalysts for Energy Conversion (7 papers)Electromagnetic wave absorption materials (6 papers)

In The Last Decade

Di Yin

65 papers receiving 1.7k citations

Hit Papers

Exosomal miR-125b-5p deriving from mesenchymal stem cells...202120262022202420212021202550100150200

Peers

Di Yin
Comparison fields: 5 of 120
  • Molecular Biology 863
  • Biomedical Engineering 229
  • Nephrology 222
  • Cancer Research 218
  • Genetics 158
Replace Jiayou Zhang with:
Jiayou Zhang China
Marzieh Ebrahimi Iran
Guilin Wang China
Elena N. Atochina‐Vasserman United States
Shuang Zhang China
Liubing Li China
Zhenguo Chen China
Paul E. Harris United States
Christine Wang United States
Jiawei Chen China
Di Yin relative to Jiayou Zhang China Jiayou Zhang's profile →
Citations per field
00.5×10×13×
Jiayou Zhang · 1×
Citations per year

Countries citing papers authored by Di Yin

Since Specialization
Citations

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

Fields of papers citing papers by Di Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Di Yin. A scholar is included among the top collaborators of Di Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Di Yin. Di Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 0
5
CRISPR-GPT for agentic automation of gene-editing experimentsbreakdown →
16
6 0
7 14
8 0
9 2
10 11
11 16
12 1
13 15
14 2
15 6
16
Targeting herpes simplex virus with CRISPR–Cas9 cures herpetic stromal keratitis in micebreakdown →
122
17 135
18 13
19
Exosomal miR-125b-5p deriving from mesenchymal stem cells promotes tubular repair by suppression of p53 in ischemic acute kidney injurybreakdown →
217
20 46

About Di Yin

Di Yin is a scholar working on Nephrology, Health and Aging, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Electrocatalysts for Energy Conversion (7 papers) and Electromagnetic wave absorption materials (6 papers). The work is most often cited by research in Nephrology (222 citations), Cancer Research (218 citations) and Molecular Biology (863 citations). Di Yin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bi‐Cheng Liu, Lin‐Li Lv, Zuo‐Lin Li, Jing-Yuan Cao, Bin Wang, Tao‐Tao Tang, Min Wu, Ri‐Ning Tang, Jiaxu Hong and Yujia Cai. Their work appears in journals such as Nature Communications, Nano Letters and ACS Nano.

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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