Xinxin Wang

68 total papers · 3.5k total citations
33 papers, 656 citations indexed

About

Xinxin Wang is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Xinxin Wang has authored 33 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Genetics. Recurrent topics in Xinxin Wang's work include Genomics and Phylogenetic Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Microbial Community Ecology and Physiology (4 papers). Xinxin Wang is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Microbial Community Ecology and Physiology (4 papers). Xinxin Wang collaborates with scholars based in China, United States and Philippines. Xinxin Wang's co-authors include Fangming Xie, M. Margarita Behrens, Amir Motamedi, Bing Ren, Joseph R. Ecker, Xinzhu Zhou, Sebastian Preißl, Jacinta Lucero, Kai Zhang and Rongxin Fang and has published in prestigious journals such as Cell, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xinxin Wang

28 papers receiving 649 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

2021 222 citations Rongxin Fang, Sebastian Preißl et al. Nature Communications profile →

Author Peers

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

Author						Papers	Cites
Xinxin Wang	416	69	58	54	53	33	656
Bing Yan	347 0.8×	36 0.5×	36 0.6×	10 0.2×	69 1.3×	40	589
Gregory R. Smith	468 1.1×	46 0.7×	33 0.6×	14 0.3×	87 1.6×	26	720
Blanca Suárez-Merino	211 0.5×	64 0.9×	16 0.3×	23 0.4×	125 2.4×	26	690
Li‐Hsin Chen	249 0.6×	23 0.3×	14 0.2×	19 0.4×	36 0.7×	38	606
Manish Shukla	264 0.6×	207 3.0×	11 0.2×	12 0.2×	25 0.5×	40	719
Weihao Liu	246 0.6×	59 0.9×	9 0.2×	11 0.2×	55 1.0×	45	746
Ying Yang	378 0.9×	78 1.1×	7 0.1×	14 0.3×	57 1.1×	23	728
Yanan Song	262 0.6×	188 2.7×	15 0.3×	18 0.3×	57 1.1×	38	596
Yiyuan Liu	425 1.0×	57 0.8×	6 0.1×	78 1.4×	55 1.0×	29	672
Xinlan Li	122 0.3×	29 0.4×	25 0.4×	208 3.9×	37 0.7×	39	642

Countries citing papers authored by Xinxin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xinxin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Wang

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