Bing Dai

39 total papers · 1.6k total citations
30 papers, 1.1k citations indexed

About

Bing Dai is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Bing Dai has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nephrology, 12 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Bing Dai's work include Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (6 papers) and Acute Kidney Injury Research (4 papers). Bing Dai is often cited by papers focused on Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (6 papers) and Acute Kidney Injury Research (4 papers). Bing Dai collaborates with scholars based in China, Switzerland and United States. Bing Dai's co-authors include Changlin Mei, Lili Fu, Yawei Liu, Yiyi Ma, Dongping Chen, Rudolf P. Wüthrich, Lin Li, Jie Zhou, Rongrong Bian and Qing Yao and has published in prestigious journals such as PLoS ONE, Kidney International and American Journal of Kidney Diseases.

In The Last Decade

Bing Dai

27 papers receiving 1.1k citations

Hit Papers

Treatment of Persistent G... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bing Dai 353 297 291 241 211 30 1.1k
Louis F. Plzak 90 0.3× 251 0.8× 115 0.4× 174 0.7× 82 0.4× 29 1.4k
Marie Frimat 66 0.2× 336 1.1× 460 1.6× 156 0.6× 24 0.1× 44 1.4k
A. J. Erslev 115 0.3× 250 0.8× 128 0.4× 69 0.3× 166 0.8× 54 1.4k
A M Teppo 97 0.3× 416 1.4× 195 0.7× 251 1.0× 17 0.1× 47 1.4k
Pinelopi P. Kapitsinou 197 0.6× 468 1.6× 272 0.9× 87 0.4× 27 0.1× 18 1.3k
Allan W. Ackerman 46 0.1× 518 1.7× 154 0.5× 267 1.1× 25 0.1× 28 1.4k
Meryl M. Petersen 149 0.4× 206 0.7× 485 1.7× 331 1.4× 17 0.1× 27 1.4k
I D A Johnston 69 0.2× 97 0.3× 85 0.3× 477 2.0× 64 0.3× 57 1.2k
Robert C. Hartmann 117 0.3× 193 0.6× 140 0.5× 111 0.5× 24 0.1× 50 1.3k
Herbert I. Horowitz 80 0.2× 94 0.3× 96 0.3× 157 0.7× 29 0.1× 32 1.0k

Countries citing papers authored by Bing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Dai. A scholar is included among the top collaborators of Bing Dai 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 Bing Dai. Bing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026