Zhenyu Ju

10.2k citations
151 papers · 5.6k indexed · 2 hit papers · h-index 41

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 1%
    • Telomeres, Telomerase, and Senescence

Papers in

Zhenyu Ju

142 papers receiving 5.5k citations

Hit Papers

The flavonoid procyanidin C1 has senotherapeutic activity and increases lifespan in mice 2021 · 217 citations
217202120262022202450100150200

Peers

Zhenyu Ju
Comparison fields: 5 of 140
  • Aging 490
  • Physiology 1.7k
  • Geriatrics and Gerontology 249
  • Hematology 531
  • Cancer Research 699
Replace Bart van de Sluis with:
Bart van de Sluis Netherlands
Pedro M. Quirós Spain
Stefan J. Marciniak United Kingdom
Naoko Ohtani Japan
Antonio Domenico Procopio Italy
Pierre‐Yves Desprez United States
Björn Schumacher Germany
Alfredo Criollo Chile
De‐Pei Liu China
Zhenyu Ju relative to Bart van de Sluis Netherlands Bart van de Sluis's profile →
Citations per field
00.5×1.6×
Bart van de Sluis · 1×
Citations per year

Countries citing papers authored by Zhenyu Ju

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202415
4 20241
5 20243
6 202415
7 202422
8 20235
9 202224
10 202263
11 20223
12 202223
13 202218
14
The flavonoid procyanidin C1 has senotherapeutic activity and increases lifespan in mice
Hit paper breakdown →
2021217
15 202114
16 202066
17 2020217
18 201818
19 201533
20
[Alpha-adducin gene G/W460 polymorphism is associated with intracerebral hemorrhage in Chinese].
200412

About Zhenyu Ju

Zhenyu Ju is a scholar working on Aging, Geriatrics and Gerontology, Physiology, Hematology and Immunology, having authored 151 papers that have together received 5.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (40 papers), Hematopoietic Stem Cell Transplantation (17 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers), Immune Cell Function and Interaction (12 papers), Immune cells in cancer (10 papers), DNA Repair Mechanisms (9 papers), Sirtuins and Resveratrol in Medicine (9 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Aging (490 citations), Physiology (1.7k citations), Geriatrics and Gerontology (249 citations), Hematology (531 citations) and Cancer Research (699 citations). Zhenyu Ju has collaborated with scholars based in China, Germany and United States. Frequent co-authors include K. Lenhard Rudolph, Hong Jiang, Zhangfa Song, Xudong Zhu, Weifeng He, Cheng Chen, Xiaorong Zhang, Hu Wang, André Lechel and Zhiyang Chen. Their work appears in journals such as Nature Communications, Protein & Cell, Blood, Leukemia and Nucleic Acids Research.

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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