Weihao Song

43 total papers · 524 total citations
26 papers, 288 citations indexed

About

Weihao Song is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Weihao Song has authored 26 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 9 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Weihao Song's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Reproductive biology and impacts on aquatic species (6 papers) and MicroRNA in disease regulation (4 papers). Weihao Song is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Reproductive biology and impacts on aquatic species (6 papers) and MicroRNA in disease regulation (4 papers). Weihao Song collaborates with scholars based in China, United States and New Zealand. Weihao Song's co-authors include Yan He, Jie Qi, Quanqi Zhang, Jin Niu, Minmin Sun, Mengya Wang, Yongzheng Shi, Kejia Huang, Yili Wang and Chunchuan Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and Carbon.

In The Last Decade

Weihao Song

23 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Weihao Song	78	66	59	49	40	26	288
Menglan Zhang	29 0.4×	69 1.0×	56 0.9×	13 0.3×	49 1.2×	25	265
Can Song	116 1.5×	63 1.0×	46 0.8×	48 1.0×	42 1.1×	19	310
Haiyue Cao	95 1.2×	51 0.8×	12 0.2×	5 0.1×	12 0.3×	30	274
Ramey C. Youngblood	57 0.7×	84 1.3×	4 0.1×	17 0.3×	32 0.8×	21	229
Chenchen Bian	6 0.1×	39 0.6×	84 1.4×	6 0.1×	27 0.7×	27	282
Siwapech Sillapaprayoon	169 2.2×	85 1.3×	4 0.1×	36 0.7×	9 0.2×	30	303
Han Deng	91 1.2×	41 0.6×	6 0.1×	37 0.8×	49 1.2×	29	250
Yuqing Su	46 0.6×	35 0.5×	8 0.1×	24 0.5×	18 0.5×	44	285
Qing Zhu	23 0.3×	70 1.1×	15 0.3×	13 0.3×	20 0.5×	35	248
Mei Xiong	48 0.6×	130 2.0×	29 0.5×	3 0.1×	13 0.3×	27	313

Countries citing papers authored by Weihao Song

Since Specialization

Citations

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

Fields of papers citing papers by Weihao Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihao Song

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