Weijing Bian

599 citations
10 papers · 40 indexed · h-index 4
Topics
Genetic Syndromes and Imprinting (3 papers)Heart Failure Treatment and Management (3 papers)Parathyroid Disorders and Treatments (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Weijing Bian

10 papers receiving 39 citations

Peers

Weijing Bian
Comparison fields: 5 of 24
  • Nephrology 23
  • Cardiology and Cardiovascular Medicine 16
  • Genetics 11
  • Surgery 8
  • Endocrinology, Diabetes and Metabolism 8
Replace Sébastien Robinet with:
Sébastien Robinet Belgium
Laila Bendriss Morocco
Ashveena Dighe United States
Stefano Cusinato Italy
Mohd Yasser Kayyal United Arab Emirates
Susana Tello Spain
J. S. León González Spain
Hannes Melnyk Germany
Tajana Željković Vrkić Croatia
Irinel-Raluca Parepa Romania
Weijing Bian relative to Sébastien Robinet Belgium Sébastien Robinet's profile →
Citations per field
00.5×
Sébastien Robinet · 1×
Citations per year

Countries citing papers authored by Weijing Bian

Since Specialization
Citations

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

Fields of papers citing papers by Weijing Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijing Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Weijing Bian. A scholar is included among the top collaborators of Weijing Bian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weijing Bian. Weijing Bian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 5
5 1
6 9
7
[Total parathyroidectomy in treatment of Sagliker syndrome in 10 cases of hemodialysing patients with secondary hyperparathyroidism].
4
8 13
9
[Echocardiographic evaluation of left ventricular geometry and function in maintenance hemodialysis uremic patients].
1
10
Long-term prognosis of secondary hyperparathyroidism in hemodialysis patients after percutaneous ethanol injection therapy
1

About Weijing Bian

Weijing Bian is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pharmacy, having authored 10 papers that have together received 40 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (3 papers), Heart Failure Treatment and Management (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Nephrology (23 citations), Cardiology and Cardiovascular Medicine (16 citations) and Endocrinology, Diabetes and Metabolism (8 citations). Weijing Bian has collaborated with scholars based in China and United States. Frequent co-authors include Ling Zhang, Li Yao, Hongliang Rui, Hong Cheng, Guoqin Wang, Yongchen Hao, Jing Liu, Dong Zhao, Lijiao Yang and Nan Ye. Their work appears in journals such as Kidney International, BMC Nephrology and BMC Cardiovascular Disorders.

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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