S-P Wang

400 citations
8 papers · 364 · h-index 5

Impact in

    • Reproductive tract infections research
    • Microbial infections and disease research
  • Rheumatology top 10%
    • GDF15 and Related Biomarkers
    • Systemic Lupus Erythematosus Research

Papers in

S-P Wang

8 papers receiving 340 citations

Peers

S-P Wang
Comparison fields: 5 of 53
  • Microbiology 78
  • Rheumatology 76
  • Endocrine and Autonomic Systems 18
  • Oncology 59
  • Cancer Research 24
Replace Erika Fiorino with:
Erika Fiorino Italy
O. G. OPITZ Germany
C. Wilhelmina Thesingh Netherlands
Dai Takagi Japan
Shannon L. Okada United States
Eleanor G. Lynam United Kingdom
Xinrui Shao China
Jørn M. Henriksen Denmark
Eun Jung Koh South Korea
Gemma María Pérez-Pastor Spain
S-P Wang relative to Erika Fiorino Italy Erika Fiorino's profile →
Citations per field
00.5×5×10×12.7×
Erika Fiorino · 1×
Citations per year

Countries citing papers authored by S-P Wang

Since Specialization
Citations

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

Fields of papers citing papers by S-P Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S-P Wang. 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 S-P Wang. The network helps show where S-P Wang may publish in the future.

Co-authors

The 16 scholars most cited alongside S-P Wang, 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 S-P Wang Line = papers co-authored together S-P Wang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2013119
2 2018109
3
Serodiagnosis of Chlamydia trachomatis infection with the micro-immunofluorescence test
197793
4 201431
5 20175
6
Study on alteration of white blood cell deformability of NIDDM patients and the influencing factors.
19943
7 20163
8
Hormone sensitive lipase is essential for glucose stimulated insulin secretion
20011

About S-P Wang

S-P Wang is a scholar working on Endocrine and Autonomic Systems, Microbiology, Epidemiology, Rheumatology and Oncology, having authored 8 papers that have together received 364 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Reproductive tract infections research (1 paper), Blood properties and coagulation (1 paper), TGF-β signaling in diseases (1 paper), Cancer Cells and Metastasis (1 paper), Systemic Lupus Erythematosus Research (1 paper), Pancreatic function and diabetes (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Microbiology (78 citations), Rheumatology (76 citations), Endocrine and Autonomic Systems (18 citations), Oncology (59 citations) and Cancer Research (24 citations). S-P Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Alexey I. Nesvizhskii, Wilson L Wang, Yu‐Ju Chen, Y-Y Wu, Kunihiro Yamaoka, Hiroaki Niiro, Koichi Akashi, Siamak Jabbarzadeh‐Tabrizi, Masahiro Kondo and Yoshiya Tanaka. Their work appears in journals such as Lupus, Diabetes, Oncogene, Yearbook of pediatric endocrinology and PubMed.

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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