Ye Han

930 citations
35 papers · 731 · h-index 13

Impact in

  • Immunology top 10%
    • Invertebrate Immune Response Mechanisms
    • Insect symbiosis and bacterial influences

Papers in

Ye Han

32 papers receiving 720 citations

Peers

Ye Han
Comparison fields: 5 of 91
  • Immunology 224
  • Insect Science 99
  • Public Health, Environmental and Occupational Health 200
  • Molecular Biology 320
  • Parasitology 20
Replace Jomon Joseph with:
Jomon Joseph India
Dieter Haustein Germany
Philippe Leone France
Sveta Chakrabarti Switzerland
Nikolaos Papandreou Greece
Rayner M. L. Queiroz Brazil
Aditi Kulkarni United States
Jane M. Landolin United States
Shihua Yang China
Zhenze Jiang United States
Ye Han relative to Jomon Joseph India Jomon Joseph's profile →
Citations per field
00.5×
Jomon Joseph · 1×
Citations per year

Countries citing papers authored by Ye Han

Since Specialization
Citations

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

Fields of papers citing papers by Ye Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000310
2 200582
3 201445
4 200337
5 200330
6 200122
7 201720
8 201820
9 200119
10 200218
11 202215
12 202215
13 201413
14 201311
15 201510
16 20218
17 20148
18 20226
19 20135
20 20145

About Ye Han

Ye Han is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing, Cell Biology and Cancer Research, having authored 35 papers that have together received 731 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Biometric Identification and Security (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Protein Structure and Dynamics (3 papers), MicroRNA in disease regulation (3 papers), Medical Image Segmentation Techniques (2 papers), Hepatitis B Virus Studies (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Immunology (224 citations), Insect Science (99 citations), Public Health, Environmental and Occupational Health (200 citations), Molecular Biology (320 citations) and Parasitology (20 citations). Ye Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fei He, Martha C. Bohn, Young In Park, Christina E. Khodr, Amanda Becerra, Zhihong Xu, Kang Chong, Shilai Bao, Xin Wang and Yunyuan Xu. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, The EMBO Journal, BMC Genomics and Scientia Horticulturae.

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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