Siming Guan

430 citations
21 papers · 376 · h-index 11

Impact in

Papers in

    • Bone Metabolism and Diseases 5
    • Wnt/β-catenin signaling in development and cancer 4
    • TGF-β signaling in diseases 2
    • Bone health and treatments 5

Siming Guan

21 papers receiving 370 citations

Peers

Siming Guan
Comparison fields: 5 of 63
  • Nephrology 41
  • Pharmacology 78
  • Complementary and alternative medicine 32
  • Biochemistry 20
  • Immunology 70
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Citations per field
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Citations per year

Countries citing papers authored by Siming Guan

Since Specialization
Citations

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

Fields of papers citing papers by Siming Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siming Guan, 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 Siming Guan Line = papers co-authored together Siming Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201752
3 201443
4 201335
5 201634
6 201325
7 201825
8 201920
9 201419
10 201511
11 201310
12 20168
13
Effects of fosinopril and valsartan on expressions of ICAM-1 and NO in human umbilical vein endothelial cells.
20038
14 20127
15 20096
16 20075
17 20185
18 20153
19
[Effects of micrometer compound rhizoma coptidis on nuclear factor-kappaB and inflammatory factors in rabbit fed with high lipid diet].
20073
20
Relativity between apolipoprotein E genotype, level of blood lipids and lipoprotein in patients with coronary heart disease
20021

About Siming Guan

Siming Guan is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Bone health and treatments (5 papers), Bone Metabolism and Diseases (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Connective tissue disorders research (3 papers), TGF-β signaling in diseases (2 papers), Lipid metabolism and disorders (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Nephrology (41 citations), Pharmacology (78 citations), Complementary and alternative medicine (32 citations), Biochemistry (20 citations) and Immunology (70 citations). Siming Guan has collaborated with scholars based in China and United States. Frequent co-authors include Xin Fang, Lihua Liu, Bin Wang, Wei Li, Yanqing Zhang, Wei Li, Wei Li, Dan Hu, Long Chen and Lihua Liu. Their work appears in journals such as International Journal of Molecular Medicine, European Journal of Pharmacology, Biochemical and Biophysical Research Communications, PLoS ONE and International Immunopharmacology.

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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