Xiaolin He

81 papers receiving 4.1k citations

Hit Papers

YAP/TAZ Are Mechanoregulators of TGF-β-Smad Signaling and Renal Fibrogenesis 2016 · 350 citations
3502016202620192022100200300

Peers

Xiaolin He
Comparison fields: 5 of 157
  • Cellular and Molecular Neuroscience 623
  • Developmental Neuroscience 134
  • Immunology 672
  • Cell Biology 507
  • Reproductive Medicine 229
Replace Peter Dockery with:
Peter Dockery Ireland
Jing Liu China
Gianfranco Peluso Italy
Umberto Galderisi Italy
Yasuhiko Ohta Japan
Kyung‐Sun Kang South Korea
Bengt R. Johansson Sweden
Zhi Wang China
Stefano Papa Italy
Na Li China
Xiaolin He relative to Peter Dockery Ireland Peter Dockery's profile →
Citations per field
00.5×1.5×
Peter Dockery · 1×
Citations per year

Countries citing papers authored by Xiaolin He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
YAP/TAZ Are Mechanoregulators of TGF-β-Smad Signaling and Renal Fibrogenesis
Hit paper breakdown →
2016350
2 2007224
3 2001216
4 2012206
5 2012180
6 2003166
7 2001143
8 2010141
9 2013141
10 2017140
11 2010124
12 2013115
13 2016107
14 201097
15 201394
16 200793
17 200789
18 201288
19 200778
20 201472

About Xiaolin He

Xiaolin He is a scholar working on Archeology, Critical Care and Intensive Care Medicine, Urology, Immunology and Dermatology, having authored 85 papers that have together received 4.2k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Signaling Pathways in Disease (5 papers), Nerve injury and regeneration (4 papers), Dermatologic Treatments and Research (4 papers), Hair Growth and Disorders (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Archaeology and ancient environmental studies (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (623 citations), Developmental Neuroscience (134 citations), Immunology (672 citations), Cell Biology (507 citations) and Reproductive Medicine (229 citations). Xiaolin He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaohong Chen, K. Christopher García, Heli Liu, Po‐Han Chen, Pamela J. Focia, Dar‐Chone Chow, Xuliang Jiang, Mingyao Liu, James A. Dias and Stefan Rose‐John. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The International Journal of Advanced Manufacturing Technology, Neuron and Journal of Archaeological Science.

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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