Xiaolin He

84 papers receiving 4.4k citations

Xiaolin He's Hit Papers

YAP/TAZ Are Mechanoregulators of TGF-β-Smad Signaling and Renal Fibrogenesis 2016 · 358 citations
3580+3+6Years since publication100200300

Peers

Xiaolin He
Comparison fields: 5 of 158
  • Developmental Neuroscience 143
  • Cellular and Molecular Neuroscience 651
  • Immunology 651
  • Reproductive Medicine 248
  • Cell Biology 488
Replace Peter Dockery with:
Peter Dockery Ireland
Umberto Galderisi Italy
Yasuhiko Ohta Japan
Jing Liu China
Kyung‐Sun Kang South Korea
Na Li China
Bengt R. Johansson Sweden
Shinji Fushiki Japan
Annette Schmidt Germany
Michael J. Anderson United States
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 87 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 →
2016358
2 2007240
3 2012229
4 2001226
5 2012195
6 2003175
7 2013153
8 2010151
9 2001145
10 2017143
11 2010130
12 2013124
13 2016110
14 2010103
15 2007101
16 201394
17 201291
18 200791
19 200783
20 201483

About Xiaolin He

Xiaolin He is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Oncology and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 4.4k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Hair Growth and Disorders (4 papers), Nerve injury and regeneration (4 papers), Dermatologic Treatments and Research (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Cellular and Molecular Neuroscience (651 citations), Immunology (651 citations), Reproductive Medicine (248 citations) and Cell Biology (488 citations). Xiaolin He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include K. Christopher García, Heli Liu, Po‐Han Chen, Pamela J. Focia, Xuliang Jiang, Dar‐Chone Chow, Mingyao Liu, James A. Dias, Stefan Rose‐John and Andrew L. Snow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Archaeological Science, The International Journal of Advanced Manufacturing Technology and Neuron.

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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