Yehui Lv

559 total citations
23 papers, 375 citations indexed

About

Yehui Lv is a scholar working on Molecular Biology, Cancer Research and Insect Science. According to data from OpenAlex, Yehui Lv has authored 23 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Insect Science. Recurrent topics in Yehui Lv's work include Molecular Biology Techniques and Applications (8 papers), Forensic Entomology and Diptera Studies (6 papers) and MicroRNA in disease regulation (5 papers). Yehui Lv is often cited by papers focused on Molecular Biology Techniques and Applications (8 papers), Forensic Entomology and Diptera Studies (6 papers) and MicroRNA in disease regulation (5 papers). Yehui Lv collaborates with scholars based in China and United States. Yehui Lv's co-authors include Kaijun Ma, Heng Zhang, Long Chen, Jianlong Ma, Ping Zhang, Long Chen, Hui Pan, Yiwen Shen, Huijun Wang and Meng He and has published in prestigious journals such as The FASEB Journal, Oncotarget and Forensic Science International.

In The Last Decade

Yehui Lv

19 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yehui Lv China	10	240	132	130	97	17	23	375
Heinz‐Dieter Wehner Germany	10	92 0.4×	104 0.8×	5 0.0×	49 0.5×	4 0.2×	27	297
Fengjue Shu United States	10	232 1.0×	14 0.1×	26 0.2×	44 0.5×	5 0.3×	14	349
Hongen Kang China	8	198 0.8×	8 0.1×	25 0.2×	63 0.6×	8 0.5×	19	297
Iiro Taneli Helenius United States	9	118 0.5×	30 0.2×	44 0.3×	13 0.1×	4 0.2×	10	283
D. S. Latchman United Kingdom	10	174 0.7×	12 0.1×	11 0.1×	46 0.5×	17 1.0×	15	282
Maria Litovchenko Switzerland	10	83 0.3×	21 0.2×	11 0.1×	48 0.5×	6 0.4×	14	215
Hugh C. K. McCarron Australia	10	112 0.5×	8 0.1×	18 0.1×	88 0.9×	175 10.3×	12	437
Jana Naue Germany	10	375 1.6×	6 0.0×	30 0.2×	150 1.5×	3 0.2×	27	476
Fuyu Liu China	10	102 0.4×	7 0.1×	59 0.5×	157 1.6×	6 0.4×	20	284
Kathy L.E. Klos United States	13	85 0.4×	4 0.0×	29 0.2×	127 1.3×	66 3.9×	19	371

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-authorship network of co-authors of Yehui Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Yehui Lv. A scholar is included among the top collaborators of Yehui Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yehui Lv. Yehui Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lv, Yehui, et al.. (2025). Long Non-Coding RNAs as Modulators of Metabolic Reprogramming for Endogenous Heart Regeneration: Mechanisms and Therapeutic Potential. Biomedical Journal. 100914–100914.

Du, Changde, et al.. (2025). Bibliometric and visualized analysis of current advances and future directions in epilepsy: from molecular basis to therapy. Frontiers in Neurology. 16. 1593621–1593621.

Lv, Yehui, et al.. (2025). Challenges and prospects for the application of skin microbiome to forensic individual identification: A narrative review. Medicine Science and the Law. 4091071611–4091071611.

Lv, Yehui, et al.. (2023). The mechanism of sudden unexpected death in epilepsy: A mini review. Frontiers in Neurology. 14. 1137182–1137182. 9 indexed citations

Tong, Fang, et al.. (2023). Sudden unexpected death in epilepsy: A bibliometric overview. Frontiers in Neurology. 14. 1139521–1139521. 3 indexed citations

Lv, Yehui, et al.. (2023). A bibliometric analysis of research trends for missing persons globally and in East Asia from 2000 to 2021. Forensic Sciences Research. 9(1). owad041–owad041.

Li, Yawen, et al.. (2023). The potential of using non-coding RNAs in forensic science applications. Forensic Sciences Research. 8(2). 98–106. 7 indexed citations

Tao, Ruiyang, Qiannan Xu, Shouyu Wang, et al.. (2021). Pairwise kinship analysis of 17 pedigrees using massively parallel sequencing. Forensic Science International Genetics. 57. 102647–102647. 14 indexed citations

Zhang, Heng, Yan Zeng, Yehui Lv, et al.. (2020). Identification of the miRNA-3185/CYP4A11 axis in cardiac tissue as a biomarker for mechanical asphyxia. Forensic Science International. 311. 110293–110293. 16 indexed citations

10.

Lv, Yehui, Shiying Li, Zhihong Li, et al.. (2019). Quantitative analysis of noncoding RNA from paired fresh and formalin-fixed paraffin-embedded brain tissues. International Journal of Legal Medicine. 134(3). 873–884. 6 indexed citations

11.

Lv, Yehui, et al.. (2018). Quantitative analysis of lncRNA from human FF and FFPE brain speimens. The FASEB Journal. 32(S1). 1 indexed citations

12.

Zeng, Yan, Tao Li, Jianlong Ma, et al.. (2017). DUSP1 and KCNJ2 mRNA upregulation can serve as a biomarker of mechanical asphyxia-induced death in cardiac tissue. International Journal of Legal Medicine. 132(3). 655–665. 14 indexed citations

13.

Lv, Yehui, et al.. (2017). A genetic regulatory network-based sequencing method for mixed-model assembly lines. Advances in Production Engineering & Management. 12(1). 62–74. 5 indexed citations

14.

Lv, Yehui, Jianlong Ma, Hui Pan, et al.. (2016). Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers. Forensic Science Medicine and Pathology. 13(1). 20–27. 39 indexed citations

15.

Lv, Yehui, Jianlong Ma, Hui Pan, et al.. (2016). RNA degradation as described by a mathematical model for postmortem interval determination. Journal of Forensic and Legal Medicine. 44. 43–52. 46 indexed citations

16.

Zeng, Yan, Yehui Lv, Tao Li, et al.. (2016). G6PC3, ALDOA and CS induction accompanies mir-122 down-regulation in the mechanical asphyxia and can serve as hypoxia biomarkers. Oncotarget. 7(46). 74526–74536. 31 indexed citations

17.

Chen, Long, Hui Pan, Jianlong Ma, et al.. (2015). An overhung mute suspect died during restraint – Is this a case of positional asphyxia?. Journal of Forensic and Legal Medicine. 33. 98–100. 3 indexed citations

18.

Pan, Hui, Yehui Lv, Heng Zhang, et al.. (2015). Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures. Forensic Science Medicine and Pathology. 11(4). 530–537. 38 indexed citations

19.

Ma, Kaijun, Yehui Lv, Ping Zhang, et al.. (2014). Postmortem interval determination using 18S-rRNA and microRNA. Science & Justice. 54(4). 307–310. 42 indexed citations

20.

Zhang, Heng, Ping Zhang, Kaijun Ma, et al.. (2012). The selection of endogenous genes in human postmortem tissues. Science & Justice. 53(2). 115–120. 28 indexed citations

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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