Yi Jiang

2.4k citations
66 papers · 1.6k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

Yi Jiang

63 papers receiving 1.6k citations

Peers

Yi Jiang
Comparison fields: 5 of 112
  • Cancer Research 478
  • Molecular Biology 932
  • Oncology 201
  • Pulmonary and Respiratory Medicine 213
  • Geriatrics and Gerontology 19
Replace Abhijit Takawale with:
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Mariana Ferreira Leal Brazil
Dong Chen China
Ying Su China
Bailong Li China
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Chun Wang China
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Yi Jiang relative to Abhijit Takawale Canada Abhijit Takawale's profile →
Citations per field
00.5×1.5×2.4×
Abhijit Takawale · 1×
Citations per year

Countries citing papers authored by Yi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 2021112
3 202096
4 201585
5 202082
6 201971
7 201570
8 201969
9 201567
10 202362
11 201560
12 201757
13 201436
14 201935
15 201529
16 201827
17 201426
18 201525
19 201923
20 202023

About Yi Jiang

Yi Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Physiology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), Ferroptosis and cancer prognosis (5 papers), RNA Research and Splicing (4 papers), Cancer, Lipids, and Metabolism (4 papers), Circular RNAs in diseases (4 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Cancer Research (478 citations), Molecular Biology (932 citations), Oncology (201 citations), Pulmonary and Respiratory Medicine (213 citations) and Geriatrics and Gerontology (19 citations). Yi Jiang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Yicong Wan, Wenjun Cheng, Lin Zhang, Lizhi Lv, Jing Yang, Jinghe Lang, Zihan Zhang, Lan Zhu, Jinhui Liu and Shulin Zhou. Their work appears in journals such as Frontiers in Oncology, PLoS ONE, Journal of Integrative Medicine, Aging and Cancer Medicine.

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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