Xiao-lin He

1.4k citations
14 papers · 1.2k · h-index 13

Impact in

Papers in

Xiao-lin He

14 papers receiving 1.2k citations

Peers

Xiao-lin He
Comparison fields: 5 of 83
  • Developmental Neuroscience 190
  • Cellular and Molecular Neuroscience 413
  • Immunology 372
  • Parasitology 90
  • Molecular Biology 439
Replace Jennifer K. Sabo with:
Jennifer K. Sabo Australia
Kazuhiro Nagaike Japan
Jean‐Christophe Olivo Germany
Nayanendu Saha United States
Elizabeth Smythe United Kingdom
Mary Vinson United Kingdom
Jennifer Lippincott‐Schwartz United States
Irina Majoul Germany
Anthony J. Otsuka United States
Pranav Sharma United States
Xiao-lin He relative to Jennifer K. Sabo Australia Jennifer K. Sabo's profile →
Citations per field
00.5×4.7×
Jennifer K. Sabo · 1×
Citations per year

Countries citing papers authored by Xiao-lin He

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-lin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-lin He. 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 Xiao-lin He. The network helps show where Xiao-lin He may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004265
2 2005228
3 2003210
4 2002112
5 200293
6 199975
7 200661
8 200148
9 200441
10 200226
11 200515
12 200013
13 200313
14 20021

About Xiao-lin He

Xiao-lin He is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Genetics and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Venomous Animal Envenomation and Studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Heart Failure Treatment and Management (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nerve injury and regeneration (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Developmental Neuroscience (190 citations), Cellular and Molecular Neuroscience (413 citations), Immunology (372 citations), Parasitology (90 citations) and Molecular Biology (439 citations). Xiao-lin He has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include K. Christopher García, Oswald Steward, Marc Tessier‐Lavigne, Lauren C. Case, Jasvinder K. Atwal, Carole Ho, Binhai Zheng, Michael E. Grigg, John C. Boothroyd and Darcy B. Wilson. Their work appears in journals such as Journal of Molecular Biology, Journal of Structural Biology, Molecular Cell, Proceedings of the National Academy of Sciences and Peptides.

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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