Yi Luan

15 papers receiving 570 citations

Yi Luan's Hit Papers

Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy 2019 · 302 citations
3020+2+4Years since publication100200300

Peers

Yi Luan
Comparison fields: 5 of 72
  • Reproductive Medicine 109
  • Oncology 150
  • Public Health, Environmental and Occupational Health 160
  • Molecular Biology 335
  • Cancer Research 71
Replace Dingqing Feng with:
Dingqing Feng China
Yafang Lin China
K Nanbu Japan
Yunping Lu China
Susann Busch Sweden
Jane Ramsdale United Kingdom
Amy E. Hanlon Newell United States
Kikuë Tachibana Germany
Ilaria Gori United Kingdom
Yi Luan relative to Dingqing Feng China Dingqing Feng's profile →
Citations per field
00.5×2.9×
Dingqing Feng · 1×
Citations per year

Countries citing papers authored by Yi Luan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy
Hit paper breakdown →
2019302
2 2018110
3 201531
4 202025
5 200725
6 202219
7 202311
8 202210
9 20219
10 20229
11 20208
12 20227
13 20246
14 20222
15 20231
16 20250
17 20250
18 20230
19 20170

About Yi Luan

Yi Luan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Reproductive Medicine and Physiology, having authored 19 papers that have together received 575 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Renal and related cancers (3 papers), Nutrition and Health in Aging (3 papers), Ovarian function and disorders (3 papers), Mesenchymal stem cell research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Reproductive Medicine (109 citations), Oncology (150 citations), Public Health, Environmental and Occupational Health (160 citations), Molecular Biology (335 citations) and Cancer Research (71 citations). Yi Luan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include So‐Youn Kim, Teresa K. Woodruff, Maxwell E. Edmonds, Young A. Yoo, Mihai I. Truica, Huiying Han, Irawati Kandela, Gary E. Schiltz, Rajita Vatapalli and Barbara Lysy. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Reproductive Immunology, Scientific Reports, Food Chemistry and Biochemistry and Cell Biology.

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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