Yuting Yan

2.6k citations
128 papers · 1.5k · h-index 21

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Chronic Lymphocytic Leukemia Research
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research

Papers in

Yuting Yan

114 papers receiving 1.5k citations

Peers

Yuting Yan
Comparison fields: 5 of 151
  • Genetics 234
  • Neurology 203
  • Geochemistry and Petrology 81
  • Hematology 124
  • Cancer Research 116
Replace Dan Xie with:
Dan Xie China
David A. Schoenfeld United States
Yuxi Chen China
Youjun Li China
Xavier Roca Singapore
Liwei ZHAO China
Sandra Marmiroli Italy
Hiroaki Mitsuhashi Japan
Wenke Liu China
Nicolas Charles France
Yuting Yan relative to Dan Xie China Dan Xie's profile →
Citations per field
00.5×2×3×4.3×
Dan Xie · 1×
Citations per year

Countries citing papers authored by Yuting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009223
2 2021108
3 201365
4 201656
5
Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma
202254
6 202349
7 202241
8 201936
9 202234
10 202033
11 201633
12 202330
13 202227
14 202426
15 202026
16 201925
17 201123
18 201923
19 202223
20 201223

About Yuting Yan

Yuting Yan is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Cancer Research and Geochemistry and Petrology, having authored 128 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (21 papers), Multiple Myeloma Research and Treatments (10 papers), Ferroelectric and Piezoelectric Materials (6 papers), Multiferroics and related materials (5 papers), Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Genetics (234 citations), Neurology (203 citations), Geochemistry and Petrology (81 citations), Hematology (124 citations) and Cancer Research (116 citations). Yuting Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Si‐Tse Jiang, Wei‐Cheng Cheng, C.‐K. James Shen, Shin‐Chen Hou, Hongmin Li, Xiuxiu Wang, Xiaoyue Shen, Sheng‐Hshiung Tsaur, Chang‐Hua Yen and Yunhui Zhang. Their work appears in journals such as Blood, Blood Advances, Leukemia, Frontiers in Microbiology and Clinical Cancer Research.

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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