Da Li

5.2k citations
176 papers · 3.9k · 2 hit papers · h-index 35

Impact in

Papers in

Da Li

164 papers receiving 3.8k citations

Da Li's Hit Papers

Epigenetics-targeted drugs: current paradigms and future challenges 2024 · 180 citations
1800+1+2Years since publication50100150

Peers

Da Li
Comparison fields: 5 of 127
  • Reproductive Medicine 749
  • Geriatrics and Gerontology 108
  • Cancer Research 318
  • Hepatology 185
  • Public Health, Environmental and Occupational Health 612
Replace Xiaohui Zhu with:
Xiaohui Zhu China
Ckf Lee Hong Kong
Tao Zhang China
Liang Zhou China
Min Yu China
Chao Gao China
Ryuji Hiramatsu Japan
Michael C. Velarde United States
Tie‐Ning Zhang China
Coralie Fontaine France
Da Li relative to Xiaohui Zhu China Xiaohui Zhu's profile →
Citations per field
00.5×2×4×6×7.7×
Xiaohui Zhu · 1×
Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epigenetics-targeted drugs: current paradigms and future challenges
Hit paper breakdown →
2024180
2 2013148
3 2023111
4
Reactive oxygen species and ovarian diseases: Antioxidant strategies
Hit paper breakdown →
2023107
5 2016100
6 201785
7 201882
8 201477
9 201877
10 200976
11 201870
12 201967
13 201763
14 201963
15 202062
16 201358
17 201758
18 202457
19 201954
20 201252

About Da Li

Da Li is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Geriatrics and Gerontology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 176 papers that have together received 3.9k indexed citations. Recurring topics across this work include Ovarian function and disorders (26 papers), Reproductive Biology and Fertility (21 papers), Folate and B Vitamins Research (9 papers), Sirtuins and Resveratrol in Medicine (9 papers), Epigenetics and DNA Methylation (9 papers), Metabolism, Diabetes, and Cancer (7 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers) and Reproductive Health and Technologies (6 papers). The work is most often cited by research in Reproductive Medicine (749 citations), Geriatrics and Gerontology (108 citations), Cancer Research (318 citations), Hepatology (185 citations) and Public Health, Environmental and Occupational Health (612 citations). Da Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiuxia Wang, Yiming Zhou, Jiao Jiao, Zhijing Na, Qi‐Jun Wu, Fangfang Bi, Bei Shi, Shi‐Sheng Zhou, Wenyan Gao and Junying Ma. Their work appears in journals such as Oncotarget, Scientific Reports, Human Reproduction, Frontiers in Endocrinology 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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