Ying Shi

2.2k citations
65 papers · 1.5k · h-index 21

Impact in

Papers in

    • Kruppel-like factors research 5
    • Epigenetics and DNA Methylation 4
    • Cancer-related gene regulation 4
    • RNA Interference and Gene Delivery 3
    • Muscle Physiology and Disorders 3

Ying Shi

60 papers receiving 1.5k citations

Peers

Ying Shi
Comparison fields: 5 of 97
  • Pathology and Forensic Medicine 227
  • Cancer Research 169
  • Sensory Systems 56
  • Molecular Biology 774
  • Rehabilitation 59
Replace Ancai Yuan with:
Ancai Yuan China
Souad Belmadani United States
Lina Kang China
Hao Zhao China
Weiwei Qi China
Alessandra Magenta Italy
Seung‐Kuy Cha South Korea
Christos Adamopoulos Greece
Rong Tao China
Ying Shi relative to Ancai Yuan China Ancai Yuan's profile →
Citations per field
00.5×11.8×
Ancai Yuan · 1×
Citations per year

Countries citing papers authored by Ying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hypermethylation of the hMLH1 gene promoter in human gastric cancers with microsatellite instability.
1999329
2 2014141
3 201180
4 200973
5 200561
6
Infrequent DPC4 gene mutation in esophageal cancer, gastric cancer and ulcerative colitis-associated neoplasms.
199660
7 201350
8 201546
9 201344
10 201443
11 200437
12 201436
13 201436
14 201234
15 200934
16 201131
17 201431
18 201325
19 202121
20 201521

About Ying Shi

Ying Shi is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Kruppel-like factors research (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Immune cells in cancer (3 papers), Muscle Physiology and Disorders (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (227 citations), Cancer Research (169 citations), Sensory Systems (56 citations), Molecular Biology (774 citations) and Rehabilitation (59 citations). Ying Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Yin, Dongtao Wang, Lu Lu, Lian-Bo Wei, Kara N. Smolinski, Suna Wang, Stephen J. Meltzer, Tong Zou, John Abraham and Jing Yin. Their work appears in journals such as International Immunopharmacology, Frontiers in Immunology, Atmospheric Environment, Current Microbiology and Frontiers in Oncology.

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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