Qing Lin

74 total papers · 1.4k total citations
18 papers, 174 citations indexed

About

Qing Lin is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Qing Lin has authored 18 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Qing Lin's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Cancer-related molecular mechanisms research (3 papers). Qing Lin is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Cancer-related molecular mechanisms research (3 papers). Qing Lin collaborates with scholars based in China, United States and Denmark. Qing Lin's co-authors include Zhe Zhang, Mei Hu, Jiaqi Li, Muhammad Rizwan‐ul‐Haq, Jinyan Teng, Juan Liao, Fu Zhang, Jilai Liu, Xiaodian Cai and Dezun Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biomedicine & Pharmacotherapy.

In The Last Decade

Qing Lin

16 papers receiving 167 citations

Author Peers

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

Author						Papers	Cites
Qing Lin	76	62	33	27	25	18	174
Peng Lü	104 1.4×	38 0.6×	13 0.4×	16 0.6×	7 0.3×	28	248
Jie Shen	116 1.5×	43 0.7×	52 1.6×	50 1.9×	5 0.2×	24	217
Su Luo	85 1.1×	22 0.4×	88 2.7×	39 1.4×	5 0.2×	14	220
Donglin Wu	151 2.0×	35 0.6×	13 0.4×	18 0.7×	11 0.4×	25	272
Yogasudha Veturi	106 1.4×	163 2.6×	50 1.5×	27 1.0×	9 0.4×	17	263
Mohsen Hemmati-Dinarvand	99 1.3×	13 0.2×	28 0.8×	29 1.1×	5 0.2×	20	267
Linda Lauinger	177 2.3×	18 0.3×	71 2.2×	27 1.0×	11 0.4×	12	289
Teng Li	61 0.8×	11 0.2×	26 0.8×	9 0.3×	36 1.4×	18	221
Xuemei Yang	104 1.4×	28 0.5×	30 0.9×	77 2.9×	3 0.1×	23	196
Gabriela B. Thoennissen	81 1.1×	39 0.6×	14 0.4×	10 0.4×	6 0.2×	10	217

Countries citing papers authored by Qing Lin

Since Specialization

Citations

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

Fields of papers citing papers by Qing Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lin. A scholar is included among the top collaborators of Qing Lin 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 Qing Lin. Qing Lin 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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