Yating Lang

408 citations
11 papers · 260 · 1 hit paper · h-index 8

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 2
    • Dialysis and Renal Disease Management 1
    • Galectins and Cancer Biology 2

Yating Lang

10 papers receiving 260 citations

Yating Lang's Hit Papers

Mitochondrial metabolic reprogramming in diabetic kidney disease 2024 · 79 citations
790+1Years since publication255075

Peers

Yating Lang
Comparison fields: 5 of 52
  • Nephrology 45
  • Geriatrics and Gerontology 8
  • Clinical Biochemistry 10
  • Physiology 6
  • Molecular Biology 80
Replace Linlin Ji with:
Linlin Ji China
Guohua Ding China
Sheng Cui South Korea
Jinna Chen China
Xiaofan Tan China
Xiaohua Gong China
Yuanlong Zhang China
Sebastian Heer Switzerland
Mengyue Yang China
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Yating Lang relative to Linlin Ji China Linlin Ji's profile →
Citations per field
00.5×2×3×3.6×
Linlin Ji · 1×
Citations per year

Countries citing papers authored by Yating Lang

Since Specialization
Citations

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

Fields of papers citing papers by Yating Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Mitochondrial metabolic reprogramming in diabetic kidney disease
Hit paper breakdown →
202479
2 202344
3 202337
4 202435
5 201931
6 202413
7 20249
8 20238
9 20243
10 20251
11 20250

About Yating Lang

Yating Lang is a scholar working on Nephrology, Immunology, Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Lipid metabolism and disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal Diseases and Glomerulopathies (2 papers), Renal and related cancers (2 papers), Galectins and Cancer Biology (2 papers), Pancreatic function and diabetes (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Nephrology (45 citations), Geriatrics and Gerontology (8 citations), Clinical Biochemistry (10 citations), Physiology (6 citations) and Molecular Biology (80 citations). Yating Lang has collaborated with scholars based in China. Frequent co-authors include Zhimei Lv, Ying Gao, Tingwei Zhang, Ping Zhou, Yanfang Zhao, Yucheng Zhao, Xinrui Wang, Xia Li, Junhui Zhen and Yue Liu. Their work appears in journals such as Cell Death and Disease, The FASEB Journal, Medical Oncology, Kidney International and Molecular and Cellular Endocrinology.

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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