Yiru Wu

462 citations
29 papers · 345 · h-index 11

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 4
    • Microbial metabolism and enzyme function 4
    • RNA Interference and Gene Delivery 3
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 3

Yiru Wu

27 papers receiving 343 citations

Peers

Yiru Wu
Comparison fields: 5 of 84
  • Nephrology 73
  • Cancer Research 64
  • Microbiology 21
  • Microbiology 2
  • Clinical Biochemistry 18
Replace Mateusz Sobczak with:
Mateusz Sobczak Poland
Kevin Downs United States
Chunxiu Zhang China
Xiangyu Wang China
Kimberly Z. Head United States
Ran Guo China
Fikret Aydemir United States
Xuehong Dong China
Thomas Pilot France
Roberto Semeraro Italy
Yiru Wu relative to Mateusz Sobczak Poland Mateusz Sobczak's profile →
Citations per field
00.5×
Mateusz Sobczak · 1×
Citations per year

Countries citing papers authored by Yiru Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yiru Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201635
3 202132
4 201830
5 201725
6 201923
7 201020
8 202117
9 201916
10 201914
11 202110
12 202210
13 20237
14 20197
15 20217
16 20216
17 20244
18 20104
19 20224
20 20234

About Yiru Wu

Yiru Wu is a scholar working on Molecular Biology, Cancer Research, Surgery, Nephrology and Epidemiology, having authored 29 papers that have together received 345 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (4 papers), Microbial metabolism and enzyme function (4 papers), Chronic Kidney Disease and Diabetes (4 papers), RNA Interference and Gene Delivery (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Nephrology (73 citations), Cancer Research (64 citations), Microbiology (21 citations), Microbiology (2 citations) and Clinical Biochemistry (18 citations). Yiru Wu has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Qidong Zhang, Zongli Diao, Liyan Wang, Wenhu Liu, Liyan Wang, Xue Han, Jie Wen, Yang Liu, Yufei Tian and Xiaoqi Wang. Their work appears in journals such as Renal Failure, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Cancers, Research in Veterinary Science and PeerJ.

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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