Huiming Ye

852 citations
41 papers · 583 · h-index 10

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • CRISPR and Genetic Engineering
    • MicroRNA in disease regulation

Papers in

Huiming Ye

37 papers receiving 579 citations

Peers

Huiming Ye
Comparison fields: 5 of 75
  • Molecular Biology 360
  • Cancer Research 55
  • Biomedical Engineering 164
  • Rehabilitation 22
  • Infectious Diseases 45
Replace Wenyan Ren with:
Wenyan Ren China
Suprava Patel India
Minghua Jiang China
Jingjing Ji China
Ramin Pourakbari Iran
Xiaoou Li China
AnnSofi Sandberg Sweden
Anna Sankiewicz Poland
Dana Dvorská Slovakia
Huiming Ye relative to Wenyan Ren China Wenyan Ren's profile →
Citations per field
00.5×3.2×
Wenyan Ren · 1×
Citations per year

Countries citing papers authored by Huiming Ye

Since Specialization
Citations

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

Fields of papers citing papers by Huiming Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019311
2 202139
3 201732
4 202123
5 202217
6 202317
7 202114
8 201813
9 201810
10 20229
11 20229
12 20168
13 20188
14 20218
15 20197
16 20175
17 20195
18 20195
19 20234
20 20204

About Huiming Ye

Huiming Ye is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Infectious Diseases and Obstetrics and Gynecology, having authored 41 papers that have together received 583 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Reproductive System and Pregnancy (3 papers), Respiratory viral infections research (3 papers), Pregnancy and preeclampsia studies (2 papers), Biosensors and Analytical Detection (2 papers), Thyroid Disorders and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Molecular Biology (360 citations), Cancer Research (55 citations), Biomedical Engineering (164 citations), Rehabilitation (22 citations) and Infectious Diseases (45 citations). Huiming Ye has collaborated with scholars based in China, Netherlands and New Zealand. Frequent co-authors include Jumei Liu, Ye Zhang, Zhao Li, Lei Zheng, Huabin Xie, Zhiying Su, Jiali Cao, Yanru Huang, Xiaoyun Zhang and Dong‐Yan Shen. Their work appears in journals such as BMC Pregnancy and Childbirth, Frontiers in Immunology, Frontiers in Genetics, PeerJ and Clinical Epigenetics.

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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