Hai‐Bin Ruan

5.2k citations
51 papers · 3.3k indexed · 1 hit paper · h-index 27
Topics
Glycosylation and Glycoproteins Research (16 papers)Adipose Tissue and Metabolism (13 papers)Galectins and Cancer Biology (7 papers)

In The Last Decade

Hai‐Bin Ruan

51 papers receiving 3.3k citations

Hit Papers

Hepatic Acetyl CoA Links Adipose Tissue Inflammation to H...20152026201820222015100200300400500

Peers

Hai‐Bin Ruan
Comparison fields: 5 of 99
  • Molecular Biology 1.9k
  • Physiology 1000
  • Immunology 657
  • Epidemiology 612
  • Organic Chemistry 404
Replace Lily Dong with:
Lily Dong United States
Martina Wallace United States
Edward T. Chouchani United States
Julia V. Busik United States
Mark Christian United Kingdom
Alessandra K. Cardozo Belgium
Konstantin V. Kandror United States
Marie‐Clotilde Alves‐Guerra France
Donghai Wu China
Antje Garten Germany
Hai‐Bin Ruan relative to Lily Dong United States Lily Dong's profile →
Citations per field
00.5×10×15×19.2×
Lily Dong · 1×
Citations per year

Countries citing papers authored by Hai‐Bin Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Bin Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Bin Ruan. 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 Hai‐Bin Ruan. The network helps show where Hai‐Bin Ruan may publish in the future.

Co-authorship network of co-authors of Hai‐Bin Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Bin Ruan. A scholar is included among the top collaborators of Hai‐Bin Ruan 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 Hai‐Bin Ruan. Hai‐Bin Ruan 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 6
2 6
3 32
4 51
5 47
6 66
7 80
8 107
9 51
10 214
11 184
12 38
13 163
14 2
15 151
16 230
17 25
18 224
19 33
20 11

About Hai‐Bin Ruan

Hai‐Bin Ruan is a scholar working on Immunology, Physiology and Endocrine and Autonomic Systems, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (16 papers), Adipose Tissue and Metabolism (13 papers) and Galectins and Cancer Biology (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (377 citations), Geriatrics and Gerontology (189 citations) and Physiology (1000 citations). Hai‐Bin Ruan has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Xiaoyong Yang, Min‐Dian Li, Jay Prakash Singh, Jing Wu, Michael J. Jurczak, Gerald I. Shulman, Yongzhan Nie, João Paulo Camporez, Anton M. Bennett and Kevin Qian. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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