Yating Li

589 citations
31 papers · 437 · h-index 10

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 2
    • Pancreatic function and diabetes 8

Yating Li

31 papers receiving 435 citations

Peers

Yating Li
Comparison fields: 5 of 87
  • Cancer Research 105
  • Industrial and Manufacturing Engineering 35
  • Hematology 38
  • Management Science and Operations Research 38
  • Molecular Biology 163
Replace Juan Zhou with:
Juan Zhou China
Zongli Zhang China
Teresa Brooks United Kingdom
Katrin Kayser Germany
Robert Walter Germany
Pei-Qing Gao United States
Suchitra Kumari India
Wenqian Fang China
Chao‐Hui Chang United Kingdom
Yating Li relative to Juan Zhou China Juan Zhou's profile →
Citations per field
00.5×10×12.7×
Juan Zhou · 1×
Citations per year

Countries citing papers authored by Yating Li

Since Specialization
Citations

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

Fields of papers citing papers by Yating Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200788
2 202179
3 201369
4 201936
5 201829
6 202219
7 201618
8 202311
9 202411
10 20239
11 20248
12 20227
13 20236
14 20236
15 20235
16 20224
17 20164
18 20164
19 20244
20 20253

About Yating Li

Yating Li is a scholar working on Hematology, Surgery, Molecular Biology, Cell Biology and Immunology, having authored 31 papers that have together received 437 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Multiple Myeloma Research and Treatments (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Acute Myeloid Leukemia Research (4 papers), FOXO transcription factor regulation (2 papers), Diabetes and associated disorders (2 papers), RNA Research and Splicing (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Cancer Research (105 citations), Industrial and Manufacturing Engineering (35 citations), Hematology (38 citations), Management Science and Operations Research (38 citations) and Molecular Biology (163 citations). Yating Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Pi‐Fang Hsu, Cheng‐Ru Wu, Xiao Han, Yunxia Zhu, Xiaoai Chang, Weiyan You, Xiaoyan Qu, Zhengxu Sun, Yi Sun and Yan Zhang. Their work appears in journals such as Diabetes, Medicine, Cancer Biomarkers, The Pediatric Infectious Disease Journal and Human Genomics.

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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