Liang Ma

218 total papers · 5.2k total citations
169 papers, 3.9k citations indexed

About

Liang Ma is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Liang Ma has authored 169 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 45 papers in Nephrology and 27 papers in Surgery. Recurrent topics in Liang Ma's work include Acute Kidney Injury Research (18 papers), Peroxisome Proliferator-Activated Receptors (17 papers) and Chronic Kidney Disease and Diabetes (12 papers). Liang Ma is often cited by papers focused on Acute Kidney Injury Research (18 papers), Peroxisome Proliferator-Activated Receptors (17 papers) and Chronic Kidney Disease and Diabetes (12 papers). Liang Ma collaborates with scholars based in China, United States and United Kingdom. Liang Ma's co-authors include Ping Fu, Rongshuang Huang, Fan Guo, Lijuan Chen, Ping Fu, Min Shi, Aihua Peng, Lingzhi Li, Sibei Tao and Yuquan Wei and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Liang Ma

163 papers receiving 3.8k citations

Hit Papers

Kidney fibrosis: from mec... 2023 2026 2024 2023 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Liang Ma 1.6k 810 800 329 329 169 3.9k
Chengping Wen 1.9k 1.2× 573 0.7× 502 0.6× 210 0.6× 383 1.2× 171 4.9k
Tsutomu Inoue 1.8k 1.1× 729 0.9× 1.1k 1.4× 391 1.2× 142 0.4× 185 4.9k
Jessica Maiuolo 1.4k 0.9× 273 0.3× 571 0.7× 358 1.1× 349 1.1× 99 3.9k
Toru Maruyama 3.6k 2.3× 483 0.6× 372 0.5× 273 0.8× 246 0.7× 182 6.0k
Masaki Kobayashi 1.6k 1.0× 184 0.2× 560 0.7× 443 1.3× 262 0.8× 276 4.9k
Yasuhiro Komatsu 1.1k 0.7× 205 0.3× 816 1.0× 322 1.0× 288 0.9× 181 4.3k
Hélder Mota‐Filipe 1.7k 1.1× 227 0.3× 643 0.8× 557 1.7× 362 1.1× 101 4.7k
Takeshi Nishino 4.0k 2.5× 325 0.4× 2.1k 2.6× 310 0.9× 264 0.8× 136 6.9k
William B. Weglicki 1.6k 1.0× 443 0.5× 508 0.6× 385 1.2× 213 0.6× 179 6.1k
B. Descomps 1.1k 0.7× 364 0.4× 223 0.3× 661 2.0× 208 0.6× 169 3.9k

Countries citing papers authored by Liang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ma

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