Peng-Lu Pan

1.3k total citations · 1 hit paper
8 papers, 675 citations indexed

About

Peng-Lu Pan is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Peng-Lu Pan has authored 8 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Insect Science and 4 papers in Genetics. Recurrent topics in Peng-Lu Pan's work include Insect and Arachnid Ecology and Behavior (3 papers), Insect-Plant Interactions and Control (3 papers) and Insect Resistance and Genetics (3 papers). Peng-Lu Pan is often cited by papers focused on Insect and Arachnid Ecology and Behavior (3 papers), Insect-Plant Interactions and Control (3 papers) and Insect Resistance and Genetics (3 papers). Peng-Lu Pan collaborates with scholars based in China, France and Latvia. Peng-Lu Pan's co-authors include Chuan‐Xi Zhang, Yuxuan Ye, Hai‐Jun Xu, Jiyu Xu, Yan‐Yuan Bao, Haiwei Fan, Yaqin Jiang, Jian Xue, Bo Lü and H. Frederik Nijhout and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Insect Biochemistry and Molecular Biology.

In The Last Decade

Peng-Lu Pan

8 papers receiving 673 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Two insulin receptors determine alternative wing morphs in planthoppers

2015 361 citations Hai‐Jun Xu, Jian Xue et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng-Lu Pan China	8	390	373	230	189	129	8	675
Baosheng Zeng China	17	521 1.3×	579 1.6×	268 1.2×	240 1.3×	116 0.9×	22	914
Shingo Kikuta Japan	19	467 1.2×	418 1.1×	237 1.0×	135 0.7×	221 1.7×	41	848
Teresa D. Shippy United States	16	191 0.5×	577 1.5×	183 0.8×	261 1.4×	135 1.0×	36	747
Daniela Großmann Germany	11	354 0.9×	785 2.1×	124 0.5×	129 0.7×	233 1.8×	15	899
Zhongxia Wu China	9	271 0.7×	208 0.6×	336 1.5×	284 1.5×	66 0.5×	10	621
Sherry Miller United States	7	367 0.9×	837 2.2×	115 0.5×	170 0.9×	251 1.9×	10	967
Yoshitaka Suetsugu Japan	15	514 1.3×	405 1.1×	273 1.2×	260 1.4×	229 1.8×	25	919
Enric Ureña Spain	10	192 0.5×	203 0.5×	213 0.9×	148 0.8×	79 0.6×	13	458
Cristina Manjón Spain	7	320 0.8×	244 0.7×	195 0.8×	256 1.4×	62 0.5×	7	657
Toru Togawa Japan	9	387 1.0×	312 0.8×	409 1.8×	376 2.0×	54 0.4×	17	731

Countries citing papers authored by Peng-Lu Pan

Since Specialization

Citations

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

Fields of papers citing papers by Peng-Lu Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng-Lu Pan. 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 Peng-Lu Pan. The network helps show where Peng-Lu Pan may publish in the future.

Co-authorship network of co-authors of Peng-Lu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng-Lu Pan. A scholar is included among the top collaborators of Peng-Lu Pan 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 Peng-Lu Pan. Peng-Lu Pan 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:

8 of 8 papers shown

1.

Lu, Jia‐Bao, et al.. (2018). An ungrouped cuticular protein is essential for normal endocuticle formation in the brown planthopper. Insect Biochemistry and Molecular Biology. 100. 1–9. 27 indexed citations

2.

Lou, Yi-Han, et al.. (2018). Identification and functional analysis of a novel chorion protein essential for egg maturation in the brown planthopper. Insect Molecular Biology. 27(3). 393–403. 23 indexed citations

3.

Pan, Peng-Lu, Yuxuan Ye, Yi-Han Lou, et al.. (2018). A comprehensive omics analysis and functional survey of cuticular proteins in the brown planthopper. Proceedings of the National Academy of Sciences. 115(20). 5175–5180. 107 indexed citations

4.

Ye, Yuxuan, Peng-Lu Pan, Jiyu Xu, et al.. (2017). Forkhead box transcription factor L2 activates Fcp3C to regulate insect chorion formation. Open Biology. 7(6). 170061–170061. 15 indexed citations

5.

Pan, Peng-Lu, et al.. (2015). The β‐ N ‐acetylhexosaminidase gene family in the brown planthopper, Nilaparvata lugens. Insect Molecular Biology. 24(6). 601–610. 35 indexed citations

6.

Ye, Yuxuan, et al.. (2015). The multicopper oxidase gene family in the brown planthopper, Nilaparvata lugens. Insect Biochemistry and Molecular Biology. 63. 124–132. 26 indexed citations

7.

Xu, Hai‐Jun, Jian Xue, Bo Lü, et al.. (2015). Two insulin receptors determine alternative wing morphs in planthoppers. Nature. 519(7544). 464–467. 361 indexed citations breakdown →

8.

Xi, Yu, et al.. (2014). Chitin deacetylase family genes in the brown planthopper, N ilaparvata lugens ( H emiptera: D elphacidae). Insect Molecular Biology. 23(6). 695–705. 81 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.

Explore authors with similar magnitude of impact