Quanfu Ma

54 total papers · 557 total citations
23 papers, 332 citations indexed

About

Quanfu Ma is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Quanfu Ma has authored 23 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Quanfu Ma's work include Cervical Cancer and HPV Research (5 papers), Cancer-related molecular mechanisms research (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Quanfu Ma is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Cancer-related molecular mechanisms research (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Quanfu Ma collaborates with scholars based in China, United States and United Kingdom. Quanfu Ma's co-authors include Xufeng Wu, Ding Ma, Jie Yang, Qinglei Gao, Xiaoyuan Huang, Xi Xia, Bin Yan, Jianfeng Zhou, Xuan Dai and Han Gao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Microbiology and Carcinogenesis.

In The Last Decade

Quanfu Ma

23 papers receiving 329 citations

Author Peers

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

Author						Papers	Cites
Quanfu Ma	171	86	58	46	45	23	332
Tao Wu	150 0.9×	92 1.1×	51 0.9×	44 1.0×	45 1.0×	31	358
Yong Shao	152 0.9×	86 1.0×	57 1.0×	18 0.4×	25 0.6×	28	359
Swapnil Karnik	144 0.8×	89 1.0×	80 1.4×	16 0.3×	32 0.7×	16	330
Tina Nilsson	98 0.6×	121 1.4×	82 1.4×	30 0.7×	10 0.2×	17	309
Víctor Collado‐Díaz	112 0.7×	115 1.3×	34 0.6×	50 1.1×	17 0.4×	20	362
Kelly S. Levano	127 0.7×	67 0.8×	16 0.3×	39 0.8×	19 0.4×	21	307
Pei-Ying Wu	163 1.0×	98 1.1×	41 0.7×	46 1.0×	8 0.2×	21	349
Sai A. Patibandla	133 0.8×	25 0.3×	35 0.6×	72 1.6×	22 0.5×	18	348
Jeannine Garnett	132 0.8×	106 1.2×	69 1.2×	17 0.4×	21 0.5×	17	317
Thomas Gribbin	118 0.7×	59 0.7×	39 0.7×	27 0.6×	10 0.2×	18	240

Countries citing papers authored by Quanfu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Quanfu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanfu Ma

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