Erli Pang

1.6k total citations
28 papers, 365 citations indexed

About

Erli Pang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Erli Pang has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Erli Pang's work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (8 papers) and Chromosomal and Genetic Variations (7 papers). Erli Pang is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (8 papers) and Chromosomal and Genetic Variations (7 papers). Erli Pang collaborates with scholars based in China, Japan and United States. Erli Pang's co-authors include Kui Lin, Huifen Cao, Xiaomei Wu, Zhen‐Ming Pei, Ying Sun, Da‐Yong Zhang, Wei‐Ning Bai, Zhonghua Zhang, Ming Lei and Xiaomin Yan and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Erli Pang

27 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erli Pang China	9	207	157	98	40	21	28	365
Yali Sun United States	13	319 1.5×	623 4.0×	40 0.4×	18 0.5×	15 0.7×	24	756
Andrea Caprera Italy	12	153 0.7×	99 0.6×	118 1.2×	8 0.2×	14 0.7×	22	362
Wenwei Xiong China	14	342 1.7×	243 1.5×	63 0.6×	22 0.6×	15 0.7×	22	470
Yangyun Zou China	7	182 0.9×	71 0.5×	54 0.6×	14 0.3×	4 0.2×	19	267
Eric Weitz United States	3	156 0.8×	120 0.8×	57 0.6×	9 0.2×	6 0.3×	4	268
Dadakhalandar Doddamani India	11	164 0.8×	445 2.8×	120 1.2×	36 0.9×	2 0.1×	17	577
Seval Ozkan United States	10	163 0.8×	172 1.1×	34 0.3×	24 0.6×	8 0.4×	13	306
Amanda M. Cooksey United States	11	153 0.7×	48 0.3×	64 0.7×	13 0.3×	2 0.1×	17	334
Vahap Eldem Türkiye	12	363 1.8×	460 2.9×	37 0.4×	13 0.3×	3 0.1×	35	702
Changhoon Kim South Korea	9	195 0.9×	232 1.5×	93 0.9×	19 0.5×	2 0.1×	20	491

Countries citing papers authored by Erli Pang

Since Specialization

Citations

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

Fields of papers citing papers by Erli Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erli Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Erli Pang. A scholar is included among the top collaborators of Erli Pang 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 Erli Pang. Erli Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Xiaotian, Yihua Zhang, Rongrong Li, et al.. (2024). STUB1-mediated ubiquitination and degradation of NSUN2 promotes hepatocyte ferroptosis by decreasing m5C methylation of Gpx4 mRNA. Cell Reports. 43(11). 114885–114885. 8 indexed citations

Zhao, Rui, Dong Yang, Shan Zhen Lu, et al.. (2024). Comparison of genes involved in brain development: insights into the organization and evolution of the telencephalic pallium. Scientific Reports. 14(1). 6102–6102.

Zhang, Bowen, Yu Liang, Lei Cao, et al.. (2023). Genomic insights into biased allele loss and increased gene numbers after genome duplication in autotetraploid Cyclocarya paliurus. BMC Biology. 21(1). 168–168. 6 indexed citations

Zhang, Zhonghua, et al.. (2023). Identification of clade-wide putative cis-regulatory elements from conserved non-coding sequences in Cucurbitaceae genomes. Horticulture Research. 10(4). uhad038–uhad038. 3 indexed citations

Chen, Yidan, et al.. (2022). Characteristics and potential functional effects of long insertions in Asian butternuts. BMC Genomics. 23(1). 732–732. 1 indexed citations

Cao, Lei, et al.. (2022). DeepASmRNA: Reference-free prediction of alternative splicing events with a scalable and interpretable deep learning model. iScience. 25(11). 105345–105345. 5 indexed citations

Pang, Erli, et al.. (2022). ploidyfrost: Reference‐free estimation of ploidy level from whole genome sequencing data based on de Bruijn graphs. Molecular Ecology Resources. 23(2). 499–510. 5 indexed citations

Yan, Xiaomin, et al.. (2021). Alternative splicing during fruit development among fleshy fruits. BMC Genomics. 22(1). 762–762. 18 indexed citations

Pang, Erli, et al.. (2021). A tri-tuple coordinate system derived for fast and accurate analysis of the colored de Bruijn graph-based pangenomes. BMC Bioinformatics. 22(1). 282–282. 2 indexed citations

10.

Sun, Ying, Quanbao Zhang, Bing Liu, et al.. (2020). CuAS: a database of annotated transcripts generated by alternative splicing in cucumbers. BMC Plant Biology. 20(1). 119–119. 8 indexed citations

11.

Lin, Kui, et al.. (2018). An Updated Functional Annotation of Protein-Coding Genes in the Cucumber Genome. Frontiers in Plant Science. 9. 325–325. 2 indexed citations

12.

Sun, Ying, Han Wei Hou, Kui Lin, et al.. (2018). The comparison of alternative splicing among the multiple tissues in cucumber. BMC Plant Biology. 18(1). 5–5. 17 indexed citations

13.

Pang, Erli, et al.. (2016). Differential variation patterns between hubs and bottlenecks in human protein-protein interaction networks. BMC Evolutionary Biology. 16(1). 260–260. 21 indexed citations

14.

Dong, Dong, Ming Lei, Yi-Hsuan Pan, et al.. (2016). The Genomes of Two Bat Species with Long Constant Frequency Echolocation Calls. Molecular Biology and Evolution. 34(1). 20–34. 33 indexed citations

15.

Pang, Erli, Xiaomei Wu, & Kui Lin. (2016). Different evolutionary patterns of SNPs between domains and unassigned regions in human protein-coding sequences. Molecular Genetics and Genomics. 291(3). 1127–1136. 2 indexed citations

16.

Zhang, Yancong, Yan Zhang, Bowen Zhang, et al.. (2015). Genome sequences of two closely related strains of Escherichia coli K-12 GM4792. Standards in Genomic Sciences. 10(1). 125–125. 1 indexed citations

17.

Pang, Erli. (2013). IDENTIFICATION AND APPLICATION OF COLINEARITY IN CLOSE RELATED SPECIES. Journal of Beijing Normal University. 2 indexed citations

18.

Wu, Xiaomei, Erli Pang, Kui Lin, & Zhen‐Ming Pei. (2013). Improving the Measurement of Semantic Similarity between Gene Ontology Terms and Gene Products: Insights from an Edge- and IC-Based Hybrid Method. PLoS ONE. 8(5). e66745–e66745. 52 indexed citations

19.

Pang, Erli, Tao Tan, & Kui Lin. (2011). Promiscuous domains: facilitating stability of the yeast protein–protein interaction network. Molecular BioSystems. 8(3). 766–771. 5 indexed citations

20.

Pang, Erli & Kui Lin. (2010). Yeast protein–protein interaction binding sites: prediction from the motif–motif, motif–domain and domain–domain levels. Molecular BioSystems. 6(11). 2164–2173. 12 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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