Xinglan An

816 citations
37 papers · 600 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Circular RNAs in diseases

Papers in

    • Epigenetics and DNA Methylation 17
    • CRISPR and Genetic Engineering 9
    • Pluripotent Stem Cells Research 9
    • Circular RNAs in diseases 5
    • RNA modifications and cancer 5
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 7

Xinglan An

36 papers receiving 596 citations

Peers

Xinglan An
Comparison fields: 5 of 65
  • Cancer Research 170
  • Molecular Biology 470
  • Public Health, Environmental and Occupational Health 137
  • Genetics 91
  • Reproductive Medicine 23
Replace María May with:
María May Argentina
Valentina Tassinari Italy
Maciej Brązert Poland
Lorena Peiró-Chova Spain
Ana Luís Portugal
Erina Inoue Japan
Bárbara A. Santana-Lemos Brazil
Tao Jing China
Aymen Shatnawi United States
Xinglan An relative to María May Argentina María May's profile →
Citations per field
00.5×1.5×2.3×
María May · 1×
Citations per year

Countries citing papers authored by Xinglan An

Since Specialization
Citations

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

Fields of papers citing papers by Xinglan An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201743
3 201835
4 202035
5 201633
6 201832
7 202330
8 201429
9 201727
10 202224
11 201921
12 201818
13 201918
14 202017
15 202017
16 201514
17 201914
18 202013
19 201312
20 202112

About Xinglan An

Xinglan An is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Genetics and Genetics, having authored 37 papers that have together received 600 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Cancer-related molecular mechanisms research (9 papers), CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (9 papers), MicroRNA in disease regulation (7 papers), Reproductive Biology and Fertility (7 papers), Circular RNAs in diseases (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (470 citations), Public Health, Environmental and Occupational Health (137 citations), Genetics (91 citations) and Reproductive Medicine (23 citations). Xinglan An has collaborated with scholars based in China, Saint Kitts and Nevis and United States. Frequent co-authors include Ziyi Li, Xueming Zhang, Yanhui Zhai, Bo Tang, Hao Yu, Qi Li, Sheng Zhang, Daoyu Zhang, Xiaoling Ma and Sheng Zhang. Their work appears in journals such as Reproduction, Theriogenology, Cellular Reprogramming, Cellular Physiology and Biochemistry and BMC 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.

Explore authors with similar magnitude of impact