Ming Yan

821 citations
33 papers · 425 · h-index 12

Impact in

Papers in

    • Genomics and Phylogenetic Studies 9
    • Plant biochemistry and biosynthesis 5
    • Plant Gene Expression Analysis 4
    • Plant Reproductive Biology 4
    • Plant Physiology and Cultivation Studies 3
    • Banana Cultivation and Research 3

Ming Yan

31 papers receiving 417 citations

Peers

Ming Yan
Comparison fields: 5 of 62
  • Oral Surgery 37
  • Horticulture 5
  • Molecular Biology 296
  • Plant Science 134
  • Cell Biology 39
Replace Fuyan Liu with:
Fuyan Liu China
Yasuko Nagai Japan
Moon Young Kim South Korea
Jochen Gohlke United States
Meng Gao China
Chengwen Gao China
Carlo Fasano Italy
Najla Mezghani Tunisia
Mia Kyed Jakobsen United States
Ming Yan relative to Fuyan Liu China Fuyan Liu's profile →
Citations per field
00.5×9.3×
Fuyan Liu · 1×
Citations per year

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 202045
3 201940
4 200827
5 202026
6 201425
7 202020
8
A simple statistical model for depicting the cdc-15 synchronized yeast cell cycle-regulated gene expression data
200216
9 201016
10 200614
11 201712
12 201912
13 202211
14 200810
15 201910
16 201910
17 20219
18 20108
19 20206
20 20225

About Ming Yan

Ming Yan is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Nutrition and Dietetics, having authored 33 papers that have together received 425 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Plant Pathogens and Fungal Diseases (6 papers), Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (4 papers), Plant Reproductive Biology (4 papers), Pomegranate: compositions and health benefits (4 papers), Plant Physiology and Cultivation Studies (3 papers) and Banana Cultivation and Research (3 papers). The work is most often cited by research in Oral Surgery (37 citations), Horticulture (5 citations), Molecular Biology (296 citations), Plant Science (134 citations) and Cell Biology (39 citations). Ming Yan has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Zhaohe Yuan, Xueqing Zhao, Xiaozhu Wang, Yu Ding, Yujie Zhao, Shujuan Song, Nanbert Zhong, Hua Wu, Dong Han and Hong Qu. Their work appears in journals such as Agronomy, Frontiers in Plant Science, British Journal of Dermatology, Gene and European Journal of Medical Genetics.

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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