Lingqiu Gao

20 total papers · 434 total citations
17 papers, 360 citations indexed

About

Lingqiu Gao is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lingqiu Gao has authored 17 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lingqiu Gao's work include Microtubule and mitosis dynamics (5 papers), Prostate Cancer Treatment and Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lingqiu Gao is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Prostate Cancer Treatment and Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lingqiu Gao collaborates with scholars based in United States, Canada and Japan. Lingqiu Gao's co-authors include Irwin H. Gelman, Bing Su, Song F. Lee, Shin Akakura, Jianmin Wang, Paula Sotomayor, Sei‐Ichi Matsui, Yongzhong Liu, Bryan M. Gillard and Scott A. Halperin and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Lingqiu Gao

17 papers receiving 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lingqiu Gao	257	63	60	58	57	17	360
Abhijit G. Banerjee	163 0.6×	61 1.0×	52 0.9×	53 0.9×	29 0.5×	15	317
Rong Liu	219 0.9×	93 1.5×	30 0.5×	85 1.5×	54 0.9×	15	342
Nandini Rudra-Ganguly	238 0.9×	41 0.7×	95 1.6×	58 1.0×	39 0.7×	13	350
Hans Lyon	162 0.6×	83 1.3×	33 0.6×	58 1.0×	25 0.4×	24	370
Shoko Ikeda	218 0.8×	30 0.5×	70 1.2×	41 0.7×	20 0.4×	16	367
Carla Kantara	159 0.6×	90 1.4×	31 0.5×	135 2.3×	44 0.8×	14	329
Carolina Meloni Vicente	212 0.8×	102 1.6×	83 1.4×	68 1.2×	78 1.4×	24	390
Hidetaka Ohnuki	202 0.8×	47 0.7×	54 0.9×	74 1.3×	33 0.6×	22	381
Gijs J. De Jongh	157 0.6×	53 0.8×	90 1.5×	39 0.7×	44 0.8×	12	386
Hideaki Hashida	192 0.7×	77 1.2×	193 3.2×	71 1.2×	40 0.7×	15	395

Countries citing papers authored by Lingqiu Gao

Since Specialization

Citations

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

Fields of papers citing papers by Lingqiu Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingqiu Gao

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

All Works

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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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