Shuwei Song

628 total citations
22 papers, 464 citations indexed

About

Shuwei Song is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Shuwei Song has authored 22 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Nephrology. Recurrent topics in Shuwei Song's work include Genetic and Kidney Cyst Diseases (6 papers), Biomedical Research and Pathophysiology (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). Shuwei Song is often cited by papers focused on Genetic and Kidney Cyst Diseases (6 papers), Biomedical Research and Pathophysiology (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). Shuwei Song collaborates with scholars based in China, United States and Switzerland. Shuwei Song's co-authors include Changlin Mei, Xiu‐Juan Ma, Ding‐Feng Su, Chong Liu, Lili Fu, Jiejian Chen, Pei Wang, Dongjie Li, Zhongwei Yang and Tao Xi and has published in prestigious journals such as Journal of Clinical Investigation, Hypertension and Journal of the American Society of Nephrology.

In The Last Decade

Shuwei Song

21 papers receiving 457 citations

Peers

Shuwei Song
Comparison fields: 5 of 81
  • Molecular Biology 233
  • Nephrology 99
  • Genetics 85
  • Cancer Research 53
  • Cardiology and Cardiovascular Medicine 50
Replace Xiaoping Shen with:
Xiaoping Shen United States
Karina Thieme Brazil
Robrecht Thoonen United States
Patrik Persson Sweden
Hisashi Yokomizo Japan
Yuxia Gao China
Ágota Vér Hungary
Nancy Amaral Rebouças Brazil
Junko Hiraoka‐Yamamoto Japan
Clotilde Zoukourian France
Xiaoping Shen United States View profile →
Citations per field, relative to Shuwei Song
Shuwei Song · 1×
Citations per year, relative to Shuwei Song
Shuwei Song · 1×

Countries citing papers authored by Shuwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shuwei Song. A scholar is included among the top collaborators of Shuwei Song 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 Shuwei Song. Shuwei Song 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
# Work Indexed citations
1 1
2 7
3 6
4 2
5 11
6 1
7 13
8 101
9 37
10 54
11 49
12 20
13 3
14 7
15 12
16 11
17 89
18 10
19 7
20
[Comparison on effects between concentrated-dose and non-concentrated-dose pralidoxime chloride on respiratory muscle paralysis in acute organophosphorus pesticide poisoning].
8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026