Bingbing Yuan

8.3k citations
32 papers · 3.3k indexed · 2 hit papers · h-index 20
Topics
Adipose Tissue and Metabolism (6 papers)Cancer-related molecular mechanisms research (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)

In The Last Decade

Bingbing Yuan

30 papers receiving 3.3k citations

Hit Papers

Efficient derivation of microglia-like cells from human p...201620262019202220162018100200300400

Peers

Bingbing Yuan
Comparison fields: 5 of 105
  • Molecular Biology 2.0k
  • Cancer Research 1.0k
  • Physiology 491
  • Cellular and Molecular Neuroscience 475
  • Genetics 434
Replace Stefano Biffo with:
Stefano Biffo Italy
Jiang Wu United States
Aimee K. Ryan Canada
Naihe Jing China
Sandro Banfi Italy
Elena I. Rugarli Germany
Nobuaki Maeda Japan
Fred A. Pereira United States
Emerald Perlas Italy
Atsushi Yoshiki Japan
Bingbing Yuan relative to Stefano Biffo Italy Stefano Biffo's profile →
Citations per field
00.5×1.5×1.9×
Stefano Biffo · 1×
Citations per year

Countries citing papers authored by Bingbing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Bingbing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingbing Yuan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 0
4 32
5 0
6 17
7
JAK2 V617F stimulates proliferation of erythropoietin-dependent erythroid progenitors and delays their differentiation by activating Stat1 and other nonerythroid signaling pathways
1
8 11
9 167
10 100
11 37
12 106
13 23
14
MiR-193b-365, a brown fat enriched microRNA cluster, is essential for brown fat differentiation
6
15 173
16 77
17 340
18 98
19 18
20 6

About Bingbing Yuan

Bingbing Yuan is a scholar working on Neurology, Aging and Cancer Research, having authored 32 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Cancer-related molecular mechanisms research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Sensory Systems (186 citations) and Developmental Neuroscience (158 citations). Bingbing Yuan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Harvey F. Lodish, Qian Gao, Andrew Chess, Wenqian Hu, Lei Sun, Rudolf Jaenisch, Julien Muffat, Yun Li, Kinyui Alice Lo and Ryan Alexander. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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