Baosheng Chen

2.7k citations
106 papers · 2.2k indexed · h-index 28
Topics
Peroxisome Proliferator-Activated Receptors (15 papers)Lipoproteins and Cardiovascular Health (14 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Baosheng Chen

98 papers receiving 2.1k citations

Peers

Baosheng Chen
Comparison fields: 5 of 127
  • Molecular Biology 875
  • Obstetrics and Gynecology 370
  • Surgery 330
  • Cancer Research 327
  • Pediatrics, Perinatology and Child Health 280
Replace Violetta Dziedziejko with:
Violetta Dziedziejko Poland
Xiaohua Jiang United States
Min Yu China
Tadayoshi Karasawa Japan
Sanjana Dayal United States
Tao Zeng China
Alejandro Chade United States
Hirohito Mori Japan
Julia Carracedo Spain
Christian Wadsack Austria
Baosheng Chen relative to Violetta Dziedziejko Poland Violetta Dziedziejko's profile →
Citations per field
00.5×2.7×
Violetta Dziedziejko · 1×
Citations per year

Countries citing papers authored by Baosheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baosheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baosheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Baosheng Chen. A scholar is included among the top collaborators of Baosheng Chen 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 Baosheng Chen. Baosheng Chen 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 5
2 3
3 1
4 7
5 2
6 1
7 2
8 12
9 4
10 76
11 148
12 47
13 108
14 4
15 6
16 9
17
Role of histamine in airway remodeling of asthmatic guinea pig.
2
18 54
19
Recovery technology of hydrogen from discharge gas in ammonia synthesis
2
20
Analysis of apolipoprotein E cDNA and protein structure of tree shrew
1

About Baosheng Chen

Baosheng Chen is a scholar working on Biological Psychiatry, Cancer Research and Obstetrics and Gynecology, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (15 papers), Lipoproteins and Cardiovascular Health (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). The work is most often cited by research in Obstetrics and Gynecology (370 citations), Biological Psychiatry (101 citations) and Cancer Research (327 citations). Baosheng Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include D. Michael Nelson, Yoel Sadovsky, Mark S. Longtine, Matthew A. Ciorba, David M. Alvarado, Christina Scifres, Xinbo Zhang, Nan Bi, Brian K. Dieckgraefe and Mark Shabsovich. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

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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