Haibing Teng

1.2k citations
16 papers · 1.0k indexed · 1 hit paper · h-index 11
Topics
Cellular transport and secretion (10 papers)Lipid Membrane Structure and Behavior (9 papers)Erythrocyte Function and Pathophysiology (3 papers)
Partner nations
United States

In The Last Decade

Haibing Teng

16 papers receiving 1.0k citations

Hit Papers

Skeletal and Cardiac Myopathies in Mice Lacking Utrophin ...19972026200620161997100200300400500

Peers

Haibing Teng
Comparison fields: 5 of 76
  • Molecular Biology 842
  • Cell Biology 323
  • Cellular and Molecular Neuroscience 308
  • Physiology 162
  • Cardiology and Cardiovascular Medicine 122
Replace Kevin J. Sonnemann with:
Kevin J. Sonnemann United States
Amanda H. Lewis United States
Robert S. Wilkinson United States
Shengzhen Guo China
Anna Chrostek‐Grashoff Germany
Solon Thanos Germany
John C. Sisson United States
Jakob S. Satz United States
Ramsés Ayala United States
Haibing Teng relative to Kevin J. Sonnemann United States Kevin J. Sonnemann's profile →
Citations per field
00.5×2.7×
Kevin J. Sonnemann · 1×
Citations per year

Countries citing papers authored by Haibing Teng

Since Specialization
Citations

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

Fields of papers citing papers by Haibing Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibing Teng

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 61
3 20
4 19
5 68
6 5
7 28
8 7
9 8
10 23
11 8
12 26
13 100
14 82
15
Skeletal and Cardiac Myopathies in Mice Lacking Utrophin and Dystrophin: A Model for Duchenne Muscular Dystrophybreakdown →
522
16 56

About Haibing Teng

Haibing Teng is a scholar working on Cell Biology, Biophysics and Developmental Biology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (9 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Cell Biology (323 citations), Cellular and Molecular Neuroscience (308 citations) and Developmental Biology (32 citations). Haibing Teng has collaborated with scholars based in United States. Frequent co-authors include Robert S. Wilkinson, R. Mark Grady, Joshua R. Sanes, Mia C. Nichol, Richard Roberts, Philip H.-S. Jen, De‐Mao Chen, Xinde Sun, Michael Y. Lin and Robert T. Youker. Their work appears in journals such as Cell, Journal of the American Chemical Society and Journal of Neuroscience.

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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