Ling‐Jun Huan

1.7k citations
26 papers · 1.3k indexed · h-index 20

Ling‐Jun Huan

26 papers receiving 1.3k citations

Peers

Ling‐Jun Huan
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 636
  • Molecular Biology 839
  • Physiology 34
  • Sensory Systems 28
  • Cellular and Molecular Neuroscience 100
Replace Kathryn W. Peters with:
Kathryn W. Peters United States
Yue-xian Hou United States
Felix M. Munkonge United Kingdom
Miklós Bagdány Canada
Liying Cui United States
Andrei A. Aleksandrov United States
David W. Souza United States
Waleska K. Martins Brazil
Linda Millen United States
Joanna Lipecka France
Ling‐Jun Huan relative to Kathryn W. Peters United States Kathryn W. Peters's profile →
Citations per field
00.5×1.5×1.9×
Kathryn W. Peters · 1×
Citations per year

Countries citing papers authored by Ling‐Jun Huan

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Jun Huan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Jun Huan. 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 Ling‐Jun Huan. The network helps show where Ling‐Jun Huan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202136
2 201419
3 201320
4 2012308
5 201019
6 200919
7 200828
8 200718
9 200621
10 200439
11 200381
12 200128
13 200142
14 1999124
15 199816
16 1997134
17 199236
18 199211
19 199281
20 198817

About Ling‐Jun Huan

Ling‐Jun Huan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Immunology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (13 papers), Neonatal Respiratory Health Research (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Ion channel regulation and function (6 papers), Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (636 citations), Molecular Biology (839 citations), Physiology (34 citations), Sensory Systems (28 citations) and Cellular and Molecular Neuroscience (100 citations). Ling‐Jun Huan has collaborated with scholars based in Canada, Russia and Italy. Frequent co-authors include Christine E. Bear, Mohabir Ramjeesingh, Elizabeth Garami, Yanchun Wang, Canhui Li, Stephanie Chin, Peter Pasceri, Tadeo Thompson, Amy P. Wong and James Ellis. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Biochemistry, iScience and Human Gene Therapy.

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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