Song‐Yu Yang

2.0k citations
50 papers · 1.6k indexed · h-index 25
Topics
Hormonal Regulation and Hypertension (19 papers)Metabolism and Genetic Disorders (13 papers)Microbial Metabolic Engineering and Bioproduction (12 papers)

In The Last Decade

Song‐Yu Yang

48 papers receiving 1.6k citations

Peers

Song‐Yu Yang
Comparison fields: 5 of 91
  • Molecular Biology 973
  • Endocrinology, Diabetes and Metabolism 593
  • Genetics 391
  • Physiology 371
  • Clinical Biochemistry 301
Replace Zhixing Yao with:
Zhixing Yao United States
Seymour B. Koritz United States
Andrew Midzak Canada
Leonard A. Fahien United States
Rina Timberg Israel
Edward T. Browning United States
Fernand G. Péron United States
A.A. Farooqui United States
Marı́a Josep Bellmunt Spain
Masami Suda Japan
Song‐Yu Yang relative to Zhixing Yao United States Zhixing Yao's profile →
Citations per field
00.5×3.5×
Zhixing Yao · 1×
Citations per year

Countries citing papers authored by Song‐Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Yu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Yu Yang. A scholar is included among the top collaborators of Song‐Yu Yang 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‐Yu Yang. Song‐Yu Yang 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 6
2 65
3 8
4 10
5 39
6 3
7 52
8 99
9 74
10 45
11 48
12 13
13 18
14 119
15 107
16 14
17 26
18 14
19 27
20 36

About Song‐Yu Yang

Song‐Yu Yang is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (19 papers), Metabolism and Genetic Disorders (13 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). The work is most often cited by research in Clinical Biochemistry (301 citations), Endocrinology, Diabetes and Metabolism (593 citations) and Biochemistry (166 citations). Song‐Yu Yang has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Xue‐Ying He, Horst Schulz, Yingzi Yang, George Merz, Pankaj Mehta, David L. Miller, D Cuebas, Carl Dobkin, Jerzy Węgiel and Charles E. Isaacs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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