Shulan Song

903 total citations
12 papers, 755 citations indexed

About

Shulan Song is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shulan Song has authored 12 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shulan Song's work include Peroxisome Proliferator-Activated Receptors (7 papers), Retinoids in leukemia and cellular processes (5 papers) and Adipose Tissue and Metabolism (5 papers). Shulan Song is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), Retinoids in leukemia and cellular processes (5 papers) and Adipose Tissue and Metabolism (5 papers). Shulan Song collaborates with scholars based in United States and Canada. Shulan Song's co-authors include Edwards A. Park, George A. Cook, Marshall B. Elam, Ramy R. Attia, William J. Roesler, Michelle S. Jansen, Gene C. Ness, Roderick Hori, Melissa I. Niesen and Ke Ma and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Brain Research.

In The Last Decade

Shulan Song

12 papers receiving 743 citations

Peers

Shulan Song
Comparison fields: 5 of 77
  • Molecular Biology 414
  • Physiology 254
  • Endocrinology, Diabetes and Metabolism 178
  • Epidemiology 131
  • Cancer Research 93
Replace Miroslava Šimáková with:
Miroslava Šimáková Czechia
ZengKui Guo United States
Jean‐Paul Riou France
Emi Arikawa Canada
M J Holness United Kingdom
Franck Rencurel Switzerland
Cynthia G. Van Horn United States
Chris E. Shannon United States
I‐Hsien Wu United States
Jan Šilhavý Czechia
Miroslava Šimáková Czechia View profile →
Citations per field, relative to Shulan Song
Shulan Song · 1×
Citations per year, relative to Shulan Song
Shulan Song · 1×

Countries citing papers authored by Shulan Song

Since Specialization
Citations

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

Fields of papers citing papers by Shulan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shulan Song. A scholar is included among the top collaborators of Shulan 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 Shulan Song. Shulan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 168
2 118
3 26
4 41
5 84
6 74
7 32
8 55
9 61
10 35
11 34
12 27

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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