Da Shang

512 citations
19 papers · 294 indexed · h-index 6

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

Da Shang

19 papers receiving 287 citations

Peers

Da Shang
Comparison fields: 5 of 61
  • Geriatrics and Gerontology 88
  • Nephrology 112
  • Physiology 53
  • Biological Psychiatry 11
  • Aging 4
Replace Yasuhiko Shimoyama with:
Yasuhiko Shimoyama Japan
Dorota Polak‐Jonkisz Poland
Deyu Xu China
Ze-Bei Zhang China
Jiqian Huang United States
Ying‐Le Xu China
Sara A. Wennersten United States
Y. Oğuz Türkiye
Takashi Ioka Japan
Da Shang relative to Yasuhiko Shimoyama Japan Yasuhiko Shimoyama's profile →
Citations per field
00.5×5.2×
Yasuhiko Shimoyama · 1×
Citations per year

Countries citing papers authored by Da Shang

Since Specialization
Citations

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

Fields of papers citing papers by Da Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017187
2 201538
3 201515
4 202212
5 201710
6 20226
7 20215
8 20224
9 20213
10 20202
11 20242
12
Abnormal glucose metabolism and galactose-deficient immunoglobulin A1 (IgA1) synthesis: a possible mechanism of IgA nephropathy.
20192
13 20202
14 20231
15 20211
16 20241
17 20241
18 20231
19 20241

About Da Shang

Da Shang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Hematology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 294 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), Renal Diseases and Glomerulopathies (4 papers), Parathyroid Disorders and Treatments (3 papers), Hormonal Regulation and Hypertension (3 papers), Erythropoietin and Anemia Treatment (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Geriatrics and Gerontology (88 citations), Nephrology (112 citations), Physiology (53 citations), Biological Psychiatry (11 citations) and Aging (4 citations). Da Shang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chuan‐Ming Hao, Qionghong Xie, Yunyu Xu, Xinzhong Huang, Yi Guan, Surong Wang, Tongying Zhu, Xiaolin Ge, Jing Tian and Dingwei Kuang. Their work appears in journals such as Blood Purification, Kidney & Blood Pressure Research, BMC Nephrology, Cell Death and Disease and Renal Failure.

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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