Tianle Ma

60 total papers · 1.0k total citations
31 papers, 683 citations indexed

About

Tianle Ma is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Tianle Ma has authored 31 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Tianle Ma's work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Spine and Intervertebral Disc Pathology (3 papers). Tianle Ma is often cited by papers focused on Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Spine and Intervertebral Disc Pathology (3 papers). Tianle Ma collaborates with scholars based in United States, China and Germany. Tianle Ma's co-authors include Aidong Zhang, Bin Sun, Yun Cao, Jie Zhong, Daniel C. Chung, A. John Iafrate, Tomer Adar, Gregory Y. Lauwers, Kristen M. Shannon and Makoto Yoshida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Biosensors and Bioelectronics.

In The Last Decade

Tianle Ma

26 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Tianle Ma	290	205	177	153	134	31	683
Sukjoong Oh	121 0.4×	78 0.4×	164 0.9×	210 1.4×	249 1.9×	52	776
Melinda Lerwill	99 0.3×	153 0.7×	158 0.9×	211 1.4×	122 0.9×	27	709
Nobuhiko Shinkura	139 0.5×	137 0.7×	194 1.1×	123 0.8×	81 0.6×	24	577
Alexander Arnold	124 0.4×	115 0.6×	142 0.8×	97 0.6×	175 1.3×	24	562
Kristen E. Muller	192 0.7×	158 0.8×	56 0.3×	88 0.6×	266 2.0×	42	574
Gabriella Gaudioso	363 1.3×	227 1.1×	114 0.6×	79 0.5×	220 1.6×	29	770
Lan Li	295 1.0×	105 0.5×	119 0.7×	39 0.3×	125 0.9×	19	663
Takayuki Motoki	284 1.0×	167 0.8×	71 0.4×	42 0.3×	222 1.7×	35	686
Jianqun Cai	432 1.5×	288 1.4×	153 0.9×	37 0.2×	139 1.0×	25	758
Katsuhiko Murakawa	341 1.2×	142 0.7×	141 0.8×	56 0.4×	139 1.0×	48	630

Countries citing papers authored by Tianle Ma

Since Specialization

Citations

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

Fields of papers citing papers by Tianle Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianle Ma

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