Changying Ling

1.8k citations
35 papers · 1.3k · h-index 20

Impact in

Papers in

    • Retinal Development and Disorders 4
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 4

Changying Ling

35 papers receiving 1.3k citations

Peers

Changying Ling
Comparison fields: 5 of 108
  • Developmental Biology 230
  • Developmental Neuroscience 147
  • Neurology 285
  • Immunology 296
  • Cellular and Molecular Neuroscience 231
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Changying Ling relative to Yuichiro Itoh United States Yuichiro Itoh's profile →
Citations per field
00.5×1.7×
Yuichiro Itoh · 1×
Citations per year

Countries citing papers authored by Changying Ling

Since Specialization
Citations

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

Fields of papers citing papers by Changying Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 1994116
3 199096
4 201493
5 199778
6 201476
7 199262
8 200357
9 200653
10 201552
11 199846
12 200946
13 199045
14 200635
15 200128
16 199727
17 201024
18 199124
19 200922
20 201922

About Changying Ling

Changying Ling is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Neurology and Developmental Biology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Animal Vocal Communication and Behavior (6 papers), Voice and Speech Disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Developmental Biology (230 citations), Developmental Neuroscience (147 citations), Neurology (285 citations), Immunology (296 citations) and Cellular and Molecular Neuroscience (231 citations). Changying Ling has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Arturo Álvarez-Buylla, Mátyás Sándor, Zsuzsanna Fábry, József Kármán, Nathan V. Welham, Zsuzsa Fábry, Fernando Nottebohm, Masaru Yamashita, John R. Kirn and Sonal Jhaveri. Their work appears in journals such as The Journal of Comparative Neurology, PLoS ONE, Journal of Neuroimmunology, The Journal of Immunology and Wound Repair and Regeneration.

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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