Bing Cui

9k citations
106 papers · 7.2k · 2 hit papers · h-index 37

Impact in

Papers in

Bing Cui

106 papers receiving 7.1k citations

Bing Cui's Hit Papers

Trimethylamine N-oxide impairs β-cell function and glucose tolerance 2024 · 71 citations
710+1+3Years since publication5001k1.5k2k

Peers

Bing Cui
Comparison fields: 5 of 128
  • Genetics 567
  • Biological Psychiatry 70
  • Oncology 1k
  • Epidemiology 1.4k
  • Cancer Research 493
Replace Iris Behrmann with:
Iris Behrmann Germany
Jean‐Baptiste Demoulin Belgium
Ying Wei China
Inpyo Choi South Korea
Xia Liu China
Lawrence M. Pfeffer United States
Heike M. Hermanns Germany
Ingrid Herr Germany
Steven J. Bensinger United States
Richard Moriggl Austria
Bing Cui relative to Iris Behrmann Germany Iris Behrmann's profile →
Citations per field
00.5×2×3×4.1×
Iris Behrmann · 1×
Citations per year

Countries citing papers authored by Bing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Bing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212067
2 2018447
3 2016258
4 2012231
5 2014182
6 2012174
7 2019173
8 2015167
9 2014163
10 2013150
11 2018143
12 2011142
13 2019141
14 2015129
15 2016126
16 2019122
17 2022117
18 2015104
19 2021101
20 201799

About Bing Cui

Bing Cui is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Cardiology and Cardiovascular Medicine, having authored 106 papers that have together received 7.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (25 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Autophagy in Disease and Therapy (8 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Acute Ischemic Stroke Management (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Genetics (567 citations), Biological Psychiatry (70 citations), Oncology (1k citations), Epidemiology (1.4k citations) and Cancer Research (493 citations). Bing Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Thomas J. Kipps, Liguang Chen, Zhuowei Hu, Suping Zhang, Fang Hua, George F. Widhopf, Jiaojiao Yu, Xiaoxi Lv, Xiaowei Zhang and Jinmei Yu. Their work appears in journals such as Blood, Acta Pharmaceutica Sinica B, Nature Communications, Proceedings of the National Academy of Sciences and Science Translational Medicine.

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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