Yaping Liang

32 papers receiving 872 citations

Yaping Liang's Hit Papers

Effect of Oral Methylprednisolone on Decline in Kidney Function or Kidney Failure in Patients With IgA Nephropathy 2022 · 236 citations
2360+1+2Years since publication50100150200

Peers

Yaping Liang
Comparison fields: 5 of 101
  • Nephrology 231
  • Pharmacology 82
  • Hematology 53
  • Geriatrics and Gerontology 15
  • Pathology and Forensic Medicine 67
Replace Gabriela Anton with:
Gabriela Anton Romania
Houssem Hmouda Tunisia
Erve G. J. Matthys Belgium
Pajaree Chariyavilaskul Thailand
Juliana F. Roos Australia
Ovadia Shemesh Israel
Vladimir I. Simanenkov Russia
Andrew J. Ritchie United Kingdom
Saime Paydaş Türkiye
Sun Ae Yoon South Korea
Yaping Liang relative to Gabriela Anton Romania Gabriela Anton's profile →
Citations per field
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Gabriela Anton · 1×
Citations per year

Countries citing papers authored by Yaping Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of Oral Methylprednisolone on Decline in Kidney Function or Kidney Failure in Patients With IgA Nephropathy
Hit paper breakdown →
2022236
2 2014228
3 2018105
4 201659
5 201831
6 202025
7 201822
8 201620
9 201320
10 201519
11 202115
12 202312
13 202112
14 201311
15 20209
16 20188
17 20238
18 20137
19 20187
20 20155

About Yaping Liang

Yaping Liang is a scholar working on Nephrology, Epidemiology, Infectious Diseases, Immunology and Molecular Biology, having authored 34 papers that have together received 891 indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), Renal Diseases and Glomerulopathies (3 papers), Insect Resistance and Genetics (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Insect Pest Control Strategies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Mosquito-borne diseases and control (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Nephrology (231 citations), Pharmacology (82 citations), Hematology (53 citations), Geriatrics and Gerontology (15 citations) and Pathology and Forensic Medicine (67 citations). Yaping Liang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Jindong Ni, Xiaojia Xu, Mingjuan Yin, Ruoling Chen, Ping Fu, Wenxing Fan, Yongshu Diao, Youqun Huang, Qinghua Yin and Jing Zang. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, International Journal of Molecular Sciences, Expert Review of Vaccines, Archives of Insect Biochemistry and Physiology and Human Vaccines & Immunotherapeutics.

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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