Wenjun Jia

547 citations
29 papers · 384 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver physiology and pathology 2
    • Cancer, Hypoxia, and Metabolism 3
    • Cancer, Lipids, and Metabolism 2

Wenjun Jia

24 papers receiving 381 citations

Peers

Wenjun Jia
Comparison fields: 5 of 49
  • Hepatology 106
  • Cancer Research 61
  • Immunology 31
  • Rheumatology 20
  • Molecular Biology 94
Replace Bai Shun Sun with:
Bai Shun Sun China
Christian David Schmid Germany
Zheping Fang China
Haifu Wu China
Kaoru Iwata Japan
Dhananjay Kumar India
Nutcha Pinjaroen Thailand
Catherine Leyh Germany
Zi‐Niu Ding China
Dominic Poulin United States
Wenjun Jia relative to Bai Shun Sun China Bai Shun Sun's profile →
Citations per field
00.5×2×4×6×8.8×
Bai Shun Sun · 1×
Citations per year

Countries citing papers authored by Wenjun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wenjun Jia, 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 Wenjun Jia Line = papers co-authored together Wenjun Jia 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 201677
2 201546
3 201640
4 201628
5 201828
6 202523
7 201722
8 202119
9 202519
10 201616
11 201613
12 202310
13 20246
14 20256
15 20175
16 20175
17 20175
18 20255
19 20243
20 20243

About Wenjun Jia

Wenjun Jia is a scholar working on Hepatology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Surgery, having authored 29 papers that have together received 384 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Liver physiology and pathology (2 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myocardial Infarction Research (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Hepatology (106 citations), Cancer Research (61 citations), Immunology (31 citations), Rheumatology (20 citations) and Molecular Biology (94 citations). Wenjun Jia has collaborated with scholars based in China, Sint Maarten and Hong Kong. Frequent co-authors include Liang Mao, Xiaopeng Yan, Hui Zhao, Shen Gu, Yudong Qiu, Chuang Chen, Chaojun Li, Bin Xue, Di Shen and Shan Jiang. Their work appears in journals such as Oncotarget, Journal of Gastroenterology and Hepatology, Biomedical Reports, Cardiovascular Diabetology and Biology Direct.

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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