Chengran Yang

1.9k citations
19 papers · 174 · h-index 6

Impact in

    • Neurogenetic and Muscular Disorders Research
    • Genetic Associations and Epidemiology
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Bioinformatics and Genomic Networks 5
    • RNA Research and Splicing 2
    • Genetic Associations and Epidemiology 6

Chengran Yang

15 papers receiving 173 citations

Peers

Chengran Yang
Comparison fields: 5 of 58
  • Genetics 31
  • Neurology 37
  • Developmental Neuroscience 9
  • Cancer Research 31
  • Neurology 15
Replace Anika Bongaarts with:
Anika Bongaarts Netherlands
Mikiko Tada Japan
Shreya Chand United States
Adam R. Fenton United States
Ricardo Romero‐Guevara Italy
Antonella Sferra Italy
Valentina Melzi Italy
Joëlle Lacombe France
Diego Lopergolo Italy
Susann Li Sweden
Chengran Yang relative to Anika Bongaarts Netherlands Anika Bongaarts's profile →
Citations per field
00.5×1.5×1.8×
Anika Bongaarts · 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 201761
2 201954
3 202218
4 20178
5 20177
6 20245
7 20225
8 20254
9 20243
10 20223
11 20222
12 20231
13 20251
14 20231
15 20241
16 20250
17 20220
18 20210
19 20200

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 174 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (5 papers), Dementia and Cognitive Impairment Research (3 papers), Neurological diseases and metabolism (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (31 citations), Neurology (37 citations), Developmental Neuroscience (9 citations), Cancer Research (31 citations) and Neurology (15 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, Mariah L. Hoye, Kathleen M. Schoch, Judith A. Steen, David H. Gutmann and Amy J. Wegener. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Molecular Neuroscience, Genome Medicine, Nature Medicine and Scientific Reports.

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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