Xiaolu Ma

34 total papers · 646 total citations
21 papers, 417 citations indexed

About

Xiaolu Ma is a scholar working on Molecular Biology, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaolu Ma has authored 21 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Aerospace Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaolu Ma's work include DNA Repair Mechanisms (12 papers), CRISPR and Genetic Engineering (5 papers) and Particle accelerators and beam dynamics (4 papers). Xiaolu Ma is often cited by papers focused on DNA Repair Mechanisms (12 papers), CRISPR and Genetic Engineering (5 papers) and Particle accelerators and beam dynamics (4 papers). Xiaolu Ma collaborates with scholars based in China, United States and Germany. Xiaolu Ma's co-authors include Caixia Guo, Min Huang, Tie-Shan Tang, Hongmei Liu, Xiaoling Li, Fengli Wang, Yingfeng Tu, Xuefei Zhu, Juanjuan Gong and Yeran Yang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Xiaolu Ma

21 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Xiaolu Ma	325	60	54	49	31	21	417
Olga N. Ponomareva	257 0.8×	144 2.4×	52 1.0×	40 0.8×	23 0.7×	17	403
Ann‐Christin Hau	226 0.7×	112 1.9×	28 0.5×	127 2.6×	35 1.1×	16	457
Zhen Zeng	231 0.7×	112 1.9×	33 0.6×	73 1.5×	10 0.3×	22	400
Yunpeng Zhao	250 0.8×	58 1.0×	12 0.2×	63 1.3×	8 0.3×	27	486
Beulah M. Cullen	133 0.4×	47 0.8×	97 1.8×	25 0.5×	17 0.5×	22	489
Ninh Doan	235 0.7×	58 1.0×	72 1.3×	79 1.6×	19 0.6×	20	409
Go Kagiya	148 0.5×	19 0.3×	36 0.7×	33 0.7×	46 1.5×	29	469
Ryan T. Wagner	321 1.0×	50 0.8×	34 0.6×	45 0.9×	60 1.9×	18	391
Johan Boström	261 0.8×	45 0.8×	23 0.4×	70 1.4×	44 1.4×	16	420
Deepa Sridharan	315 1.0×	85 1.4×	14 0.3×	35 0.7×	23 0.7×	24	481

Countries citing papers authored by Xiaolu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolu Ma

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