Yehui Lv

559 citations
23 papers · 375 · h-index 10

Impact in

    • Forensic Entomology and Diptera Studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Molecular Biology Techniques and Applications 8
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4

Yehui Lv

19 papers receiving 372 citations

Peers

Yehui Lv
Comparison fields: 5 of 68
  • Insect Science 132
  • Cancer Research 130
  • Molecular Biology 240
  • Genetics 97
  • Biophysics 16
Replace Heinz‐Dieter Wehner with:
Heinz‐Dieter Wehner Germany
Iiro Taneli Helenius United States
Hugh C. K. McCarron Australia
Jana Naue Germany
Fengjue Shu United States
Åsa Olsson Sweden
Hongen Kang China
Maria Litovchenko Switzerland
D. S. Latchman United Kingdom
Timo Sänger Germany
Yehui Lv relative to Heinz‐Dieter Wehner Germany Heinz‐Dieter Wehner's profile →
Citations per field
00.5×10×20×26×
Heinz‐Dieter Wehner · 1×
Citations per year

Countries citing papers authored by Yehui Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yehui Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 201646
3 201442
4 201639
5 201538
6 201631
7 201228
8 202016
9 201714
10 202114
11 20239
12 20237
13 20187
14 20196
15 20175
16 20233
17 20153
18 20233
19 20181
20 20250

About Yehui Lv

Yehui Lv is a scholar working on Molecular Biology, Cancer Research, Insect Science, Cardiology and Cardiovascular Medicine and Genetics, having authored 23 papers that have together received 375 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Forensic Entomology and Diptera Studies (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Forensic and Genetic Research (3 papers), RNA Research and Splicing (3 papers), Epilepsy research and treatment (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Insect Science (132 citations), Cancer Research (130 citations), Molecular Biology (240 citations), Genetics (97 citations) and Biophysics (16 citations). Yehui Lv has collaborated with scholars based in China and United States. Frequent co-authors include Kaijun Ma, Heng Zhang, Long Chen, Jianlong Ma, Ping Zhang, Long Chen, Hui Pan, Yiwen Shen, Yan Zeng and Huijun Wang. Their work appears in journals such as Frontiers in Neurology, International Journal of Legal Medicine, Journal of Forensic and Legal Medicine, Forensic Science Medicine and Pathology and Forensic Sciences Research.

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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