Song Wen

1.8k total citations
62 papers, 1.4k citations indexed

About

Song Wen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Song Wen has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Song Wen's work include Diet and metabolism studies (11 papers), Diabetes Treatment and Management (9 papers) and Pancreatic function and diabetes (8 papers). Song Wen is often cited by papers focused on Diet and metabolism studies (11 papers), Diabetes Treatment and Management (9 papers) and Pancreatic function and diabetes (8 papers). Song Wen collaborates with scholars based in China, United States and Bangladesh. Song Wen's co-authors include Ligang Zhou, Ying Cui, Gao‐Jun Teng, Ning Gu, Shenghong Ju, Xinlu Yuan, Yu‐Chen Chen, Yun Jiao, Chaoxun Wang and Min Gong and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Song Wen

55 papers receiving 1.4k citations

Peers

Song Wen
Comparison fields: 5 of 124
  • Molecular Biology 315
  • Endocrinology, Diabetes and Metabolism 232
  • Biomedical Engineering 214
  • Physiology 192
  • Radiology, Nuclear Medicine and Imaging 189
Replace Gilles Defer with:
Gilles Defer France
Eun-Hee Cho South Korea
Takahiro Goto Japan
David Last Israel
Andor Veltien Netherlands
Wenjuan Liu China
Todd Williams United States
Bernadette O. Erokwu United States
Di Zhu China
Gilles Defer France View profile →
Citations per field, relative to Song Wen
Song Wen · 1×
Citations per year, relative to Song Wen
Song Wen · 1×

Countries citing papers authored by Song Wen

Since Specialization
Citations

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

Fields of papers citing papers by Song Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Song Wen. A scholar is included among the top collaborators of Song Wen 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 Song Wen. Song Wen 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 0
2 2
3 9
4 2
5 2
6 0
7 5
8
The Comparative Study on the Status of Bone Metabolism and Thyroid Function in Diabetic Patients with or without Ketosis or Ketoacidosis
9
9 3
10 1
11 5
12 8
13 19
14 6
15 24
16 0
17 8
18 19
19 30
20 41

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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