Jinxia Wang

2.5k citations
86 papers · 1.9k · h-index 25

Impact in

Papers in

Jinxia Wang

82 papers receiving 1.8k citations

Peers

Jinxia Wang
Comparison fields: 5 of 135
  • Obstetrics and Gynecology 89
  • Pulmonary and Respiratory Medicine 384
  • Cancer Research 153
  • Surgery 378
  • Toxicology 28
Replace Mariarosaria Boccellino with:
Mariarosaria Boccellino Italy
Kyung‐A Lee South Korea
Yun Zhou China
Brian D. Shames United States
Lingfei Kong China
Joo‐Young Kim South Korea
Kelvin Y.K. Chan Hong Kong
Sun Lee South Korea
Daisuke Kobayashi Japan
Mingming Liu China
Jinxia Wang relative to Mariarosaria Boccellino Italy Mariarosaria Boccellino's profile →
Citations per field
00.5×2.5×
Mariarosaria Boccellino · 1×
Citations per year

Countries citing papers authored by Jinxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 2020103
3 2016100
4 201099
5 202077
6 201563
7 200955
8 200052
9 200652
10 201751
11 202046
12 201944
13 201843
14 201841
15 201637
16 201035
17 202135
18 201933
19 201930
20 201729

About Jinxia Wang

Jinxia Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Infectious Diseases, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (11 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (5 papers), Neuroblastoma Research and Treatments (4 papers), Natural Compounds in Disease Treatment (4 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Obstetrics and Gynecology (89 citations), Pulmonary and Respiratory Medicine (384 citations), Cancer Research (153 citations), Surgery (378 citations) and Toxicology (28 citations). Jinxia Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Martin Post, Huaran Zhang, Dong‐Mei Ren, Jun Zhang, Rui Xu, Bo Wang, Caiping Gao, Guotao Yang, Jiangjiang Fan and Xiaoqing Liu. Their work appears in journals such as PLoS ONE, Medicine, American Journal of Physiology-Lung Cellular and Molecular Physiology, Pediatric Research and American Journal of Respiratory Cell and Molecular Biology.

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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