Yanping Song

1.9k citations
54 papers · 1.4k indexed · 1 hit paper · h-index 15

Yanping Song

45 papers receiving 1.4k citations

Hit Papers

Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB...7312010202620152020200400600

Peers

Yanping Song
Comparison fields: 5 of 116
  • Physiology 567
  • Molecular Biology 876
  • Rehabilitation 82
  • Geriatrics and Gerontology 40
  • Cell Biology 162
Replace Tamar Aprahamian with:
Tamar Aprahamian United States
Genzo Iguchi Japan
Daniel Q. Bach United States
Takahiro Kambara Japan
Yuichi Akasaki Japan
Seung Hun Lee South Korea
Karen Ruschke Germany
Chikara Ebisui Japan
Virginie Bourlier France
Gabriel Martinez-Santibañez United States
Yanping Song relative to Tamar Aprahamian United States Tamar Aprahamian's profile →
Citations per field
00.5×
Tamar Aprahamian · 1×
Citations per year

Countries citing papers authored by Yanping Song

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yanping Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanping Song Line = papers co-authored together Yanping Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20250
5 20241
6 20240
7 20241
8 20242
9 202311
10 20235
11 20230
12 20226
13 20229
14 202114
15 20211
16 20213
17 201614
18
Research on Interval Numbers of Three Elements Linear Programming and Its Solution
20110
19
Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB Antagonism Leads to Prolonged Survivalbreakdown →
2010731
20
Analysis of chemical constituents of essential oil in piper sarmentosum roxb by gas chromatography/mass spectrometry
20061

About Yanping Song

Yanping Song is a scholar working on Hematology, Developmental Neuroscience and Genetics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (3 papers), RNA modifications and cancer (3 papers), Multiple Myeloma Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (3 papers), Muscle Physiology and Disorders (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Physiology (567 citations), Molecular Biology (876 citations) and Rehabilitation (82 citations). Yanping Song has collaborated with scholars based in China, United States and South Sudan. Frequent co-authors include H.Q. Han, Xiaolan Zhou, John Lu, David L. Lacey, Robert Rosenfeld, Alfred L. Goldberg, Qingsheng Jiao, Thomas C. Boone, Qing Chen and W. Scott Simonet. Their work appears in journals such as Cell, Blood and Oncogene.

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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