YM Li

540 citations
27 papers · 419 · h-index 10

Impact in

Papers in

YM Li

27 papers receiving 407 citations

Peers

YM Li
Comparison fields: 5 of 99
  • Cancer Research 101
  • Endocrine and Autonomic Systems 30
  • Oncology 106
  • Hepatology 29
  • Pathology and Forensic Medicine 47
Replace Yichun Yang with:
Yichun Yang China
Kinji Yokomori Japan
L. Scucchi Italy
Masashi Ishikawa Japan
Dongqing Wang China
Fengzhi Shao United States
Ying Q. Lin China
Chris von Ruhland United Kingdom
John W. Rachow United States
Ryutaro Yamanaka Japan
YM Li relative to Yichun Yang China Yichun Yang's profile →
Citations per field
00.5×3.9×
Yichun Yang · 1×
Citations per year

Countries citing papers authored by YM Li

Since Specialization
Citations

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

Fields of papers citing papers by YM Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 200856
3 201254
4 199535
5
High expression of long non-coding RNA XIST in osteosarcoma is associated with cell proliferation and poor prognosis.
201731
6 200916
7 201414
8 201411
9 201911
10 201210
11 20126
12 20216
13 20185
14 20165
15
Comparison of different-type heat flows at typical sites in natural gas hydrate exploration area on the northern slope of the South China Sea
20125
16
Effectiveness of Safety Measures in Reducing Construction Accidents in Hong Kong
20074
17
Methods of calculating coherence cube on the basis of wavelet transform
20024
18 19903
19 20223
20 20062

About YM Li

YM Li is a scholar working on Pathology and Forensic Medicine, Surgery, Molecular Biology, Radiological and Ultrasound Technology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 419 indexed citations. Recurring topics across this work include Risk and Safety Analysis (3 papers), Occupational Health and Safety Research (3 papers), Cervical and Thoracic Myelopathy (2 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Spinal Fractures and Fixation Techniques (2 papers), Safety and Risk Management (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Cancer Research (101 citations), Endocrine and Autonomic Systems (30 citations), Oncology (106 citations), Hepatology (29 citations) and Pathology and Forensic Medicine (47 citations). YM Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ping Liang, HY Li, Jian Li, Zhou Zhou, Lu Zheng, Jing Lin, Xuebiao Yao, Min Chen, Douglas E. Wingrove and J.E. Maggio. Their work appears in journals such as Spinal Cord, Journal of Optics, Value in Health, Cell Death and Disease and Journal of Gastroenterology and Hepatology.

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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