Lan Yang

799 citations
37 papers · 617 · h-index 13

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Pluripotent Stem Cells Research 3
    • Plant Pathogenic Bacteria Studies 5
    • Plant-Microbe Interactions and Immunity 5
    • Plant Virus Research Studies 5

Lan Yang

35 papers receiving 610 citations

Peers

Lan Yang
Comparison fields: 5 of 72
  • Genetics 218
  • Public Health, Environmental and Occupational Health 174
  • Pediatrics, Perinatology and Child Health 80
  • Molecular Biology 314
  • Reproductive Medicine 36
Replace Lei Luo with:
Lei Luo China
Brian L. Sailer United States
Guiling Cao China
Lloyd Matsumoto United States
Muhammad Anwar Pakistan
Kathleen DeBoer Australia
L. Molteni Italy
Qingqing Lin China
Tomoki Matsuyama Japan
Qiu Wang China
Lan Yang relative to Lei Luo China Lei Luo's profile →
Citations per field
00.5×2.9×
Lei Luo · 1×
Citations per year

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan Yang, 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 Lan Yang Line = papers co-authored together Lan Yang 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 200597
2 200472
3 200549
4 201745
5 200941
6 201735
7 201730
8 202225
9 201723
10 200821
11 202020
12 201519
13 202413
14 201712
15 202111
16
Combined treatment with cysteamine and leukemia inhibitory factor promotes guinea pig oocyte meiosis in vitro.
20199
17 20209
18 20229
19 20199
20 20168

About Lan Yang

Lan Yang is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 617 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Plant Pathogenic Bacteria Studies (5 papers), Plant-Microbe Interactions and Immunity (5 papers), Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (5 papers), Plant Virus Research Studies (5 papers), Prenatal Screening and Diagnostics (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Genetics (218 citations), Public Health, Environmental and Occupational Health (174 citations), Pediatrics, Perinatology and Child Health (80 citations), Molecular Biology (314 citations) and Reproductive Medicine (36 citations). Lan Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoping Bao, Michael J. O’Neill, Xiuchun Tian, Shouquan Zhang, Xiangzhong Yang, Chikara Kubota, Raymond Page, Carol Lynn Curchoe, Huie Li and Qiqiang Guo. Their work appears in journals such as Molecular Diversity, Forests, Theriogenology, PeerJ and RSC Advances.

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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