Chengran Yang

2.1k citations
19 papers · 187 · h-index 7

Impact in

    • Neurogenetic and Muscular Disorders Research
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Bioinformatics and Genomic Networks 4
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Genetic Associations and Epidemiology 5

Chengran Yang

16 papers receiving 186 citations

Peers

Chengran Yang
Comparison fields: 5 of 60
  • Genetics 32
  • Neurology 39
  • Developmental Neuroscience 9
  • Cancer Research 28
  • Neurology 16
Replace Adam R. Fenton with:
Adam R. Fenton United States
Valentina Melzi Italy
Anika Bongaarts Netherlands
Ricardo Romero‐Guevara Spain
Mikiko Tada Japan
Maria Giovanna Garone Italy
Heather Feldman United States
Kristy Kang United States
Caroline Mijnsbergen Netherlands
Elizabeth Thames United States
Chengran Yang relative to Adam R. Fenton United States Adam R. Fenton's profile →
Citations per field
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Adam R. Fenton · 1×
Citations per year

Countries citing papers authored by Chengran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chengran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201763
2 201955
3 202219
4 20179
5 20178
6 20247
7 20256
8 20225
9 20224
10 20243
11 20223
12 20231
13 20251
14 20241
15 20231
16 20251
17 20210
18 20200
19 20220

About Chengran Yang

Chengran Yang is a scholar working on Molecular Biology, Genetics, Physiology, Neurology and Neurology, having authored 19 papers that have together received 187 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers), Neurological diseases and metabolism (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Genetics (32 citations), Neurology (39 citations), Developmental Neuroscience (9 citations), Cancer Research (28 citations) and Neurology (16 citations). Chengran Yang has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Joseph D. Dougherty, Allison M. Lake, Darshan Sapkota, Jasbir Dalal, David R. O’Brien, David H. Gutmann, Andrew W. Kraft, Mark S. Sands, Jin‐Moo Lee and Mariah L. Hoye. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Molecular Neuroscience, Neurology Genetics, Nature Medicine and Neurobiology of Aging.

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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