Xia Jiang

5.9k citations
109 papers · 4.1k · 2 hit papers · h-index 29

Impact in

Papers in

    • Hepatitis C virus research 16
    • Hepatitis Viruses Studies and Epidemiology 7
    • Cancer-related molecular mechanisms research 11
    • MicroRNA in disease regulation 10

Xia Jiang

104 papers receiving 4.1k citations

Xia Jiang's Hit Papers

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses 2020 · 303 citations
3030+3+6Years since publication2505007501000

Peers

Xia Jiang
Comparison fields: 5 of 128
  • Cancer Research 787
  • Hepatology 304
  • Genetics 966
  • Molecular Biology 1.7k
  • Oncology 416
Replace Yun‐Yong Park with:
Yun‐Yong Park South Korea
Qiurong Ding China
Andrew N. Billin United States
Dimitrios Iliopoulos United States
Latifa Bakiri Austria
Shingo Tsuji Japan
Nengtai Ouyang China
Ilan Stein Israel
Yoshitaka Tamai Japan
Xia Jiang relative to Yun‐Yong Park South Korea Yun‐Yong Park's profile →
Citations per field
00.5×2×3.0×
Yun‐Yong Park · 1×
Citations per year

Countries citing papers authored by Xia Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association analysis identifies 65 new breast cancer risk loci
Hit paper breakdown →
20171013
2
Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
Hit paper breakdown →
2020303
3 2017298
4 2018189
5 2015173
6 2012132
7 2020120
8 2020103
9 2019100
10 201373
11 201265
12 201464
13 201461
14 201661
15 201660
16 202052
17 201952
18 202143
19 201440
20 201440

About Xia Jiang

Xia Jiang is a scholar working on Hepatology, Cancer Research, Molecular Biology, Epidemiology and Cell Biology, having authored 109 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (16 papers), Cancer-related molecular mechanisms research (11 papers), Hepatitis B Virus Studies (10 papers), MicroRNA in disease regulation (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Hepatitis Viruses Studies and Epidemiology (7 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Cancer Research (787 citations), Hepatology (304 citations), Genetics (966 citations), Molecular Biology (1.7k citations) and Oncology (416 citations). Xia Jiang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Osamu Yokosuka, Tatsuo Kanda, Shingo Nakamoto, Zengren Zhao, Shuang Wu, Jian‐Zhi Wang, Masato Nakamura, Xiangshu Cheng, Zhiwei Ma and Yuki Haga. Their work appears in journals such as PLoS ONE, Nature Genetics, Oncology Reports, Scientific Reports and Journal of Cellular and Molecular 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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