J Yan

2.9k citations
7 papers · 224 · h-index 5

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Neurological diseases and metabolism 1
    • Botulinum Toxin and Related Neurological Disorders 1
    • Amyotrophic Lateral Sclerosis Research 1

J Yan

7 papers receiving 220 citations

Peers

J Yan
Comparison fields: 5 of 29
  • Neurology 160
  • Genetics 92
  • Neurology 43
  • Physiology 44
  • Oral Surgery 12
Replace Koping Chang with:
Koping Chang Taiwan
Azza Ismail United Kingdom
Antoine Soulages France
Dingkang Xu China
Casey MM Pfluger Australia
P. Cervera France
Patrizia Sola Italy
Zara A. Ioannides Australia
Miko Valori Finland
Emile Pinarbasi United States
J Yan relative to Koping Chang Taiwan Koping Chang's profile →
Citations per field
00.5×4.3×
Koping Chang · 1×
Citations per year

Countries citing papers authored by J Yan

Since Specialization
Citations

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

Fields of papers citing papers by J Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010155
2 199627
3 201218
4
A clinical analysis of idiopathic orbital inflammatory pseudotumor.
200014
5
A meta-analysis of the relationship between lymphatic microvessel density and the survival of patient with colorectal cancer.
20138
6 20241
7 20251

About J Yan

J Yan is a scholar working on Surgery, Neurology, Oncology, Molecular Biology and Genetics, having authored 7 papers that have together received 224 indexed citations. Recurring topics across this work include Neurological diseases and metabolism (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Lymphatic System and Diseases (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Water Quality Monitoring Technologies (1 paper), IgG4-Related and Inflammatory Diseases (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Neurology (160 citations), Genetics (92 citations), Neurology (43 citations), Physiology (44 citations) and Oral Surgery (12 citations). J Yan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Teepu Siddique, Kreshnik Ahmeti, Han‐Xiang Deng, Faisal Fecto, Sandra Donkervoort, Yongyong Shi, N. Siddique, Yuan Yang, Benjamin Rix Brooks and W. King Engel. Their work appears in journals such as Virulence, Neurology, Histopathology, Eye and Microorganisms.

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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