Jun Niu

736 citations
24 papers · 451 indexed · h-index 9
Topics
Liver Disease Diagnosis and Treatment (6 papers)Pharmacovigilance and Adverse Drug Reactions (3 papers)Hepatitis B Virus Studies (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
Partner nations
ChinaRussiaAustralia

In The Last Decade

Jun Niu

19 papers receiving 447 citations

Peers

Jun Niu
Comparison fields: 5 of 80
  • Epidemiology 285
  • Hepatology 134
  • Endocrinology, Diabetes and Metabolism 107
  • Pathology and Forensic Medicine 83
  • Surgery 76
Replace Tetsu Endo with:
Tetsu Endo Japan
Shareef Syed United States
Elli Karatza Greece
Xiaolan Lu China
D B Gough Ireland
L. Mondazzi Italy
M Maruyama Japan
Yang Fu China
Ramazan Gen Türkiye
Deniz Duman Türkiye
Jun Niu relative to Tetsu Endo Japan Tetsu Endo's profile →
Citations per field
00.5×4.5×
Tetsu Endo · 1×
Citations per year

Countries citing papers authored by Jun Niu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Niu. A scholar is included among the top collaborators of Jun Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Niu. Jun Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 4
6 0
7 1
8 3
9 49
10 5
11 9
12 2
13
Interleukin-6, interleukin-8 and interleukin-10 in estimating the severity of acute pancreatitis: an updated meta-analysis.
30
14 13
15
Relationship between Serum Aminotransferase Levels and Metabolic Disorders in Northern China.
5
16 27
17 2
18 207
19 17
20 59

About Jun Niu

Jun Niu is a scholar working on Toxicology, Hepatology and Dermatology, having authored 24 papers that have together received 451 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (134 citations), Epidemiology (285 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Jun Niu has collaborated with scholars based in China, Russia and Australia. Frequent co-authors include Jian‐Gao Fan, Junping Shi, Wei Shen, You Ming Li, Zexin Yao, Biao Cheng, Jia Zhang, Yasuhito Tanaka, Si Chen and Jin Hou. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

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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