Hong Ma

160 total papers · 678 total citations
56 papers, 466 citations indexed

About

Hong Ma is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Hong Ma has authored 56 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Molecular Biology. Recurrent topics in Hong Ma's work include Cardiovascular Function and Risk Factors (10 papers), Pulmonary Hypertension Research and Treatments (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Hong Ma is often cited by papers focused on Cardiovascular Function and Risk Factors (10 papers), Pulmonary Hypertension Research and Treatments (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Hong Ma collaborates with scholars based in China, Mongolia and United States. Hong Ma's co-authors include Weichun Wu, Di Liu, Li Zhang, Hong Lu, Lijian Gao, Yaguo Zheng, S Samuel Yang, Yaozhou Zhang, Yang Liu and Liping Liu and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Hong Ma

50 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Hong Ma	144	123	117	92	81	56	466
Christoph Waldeyer	240 1.7×	68 0.6×	73 0.6×	57 0.6×	186 2.3×	46	535
Mina M. Benjamin	224 1.6×	77 0.6×	62 0.5×	66 0.7×	139 1.7×	45	538
Swei H. Tsung	109 0.8×	106 0.9×	63 0.5×	103 1.1×	124 1.5×	36	550
Juan Li	63 0.4×	146 1.2×	58 0.5×	59 0.6×	54 0.7×	46	522
Sethuraman Swaminathan	144 1.0×	114 0.9×	50 0.4×	111 1.2×	109 1.3×	47	523
Shiro YAMADA	84 0.6×	181 1.5×	73 0.6×	51 0.6×	76 0.9×	46	487
Suguru Nakagawa	49 0.3×	154 1.3×	92 0.8×	72 0.8×	47 0.6×	42	442
Jian Huang	70 0.5×	167 1.4×	47 0.4×	36 0.4×	102 1.3×	36	451
Taiki Sato	153 1.1×	114 0.9×	29 0.2×	60 0.7×	119 1.5×	68	551
Selçuk Öztürk	197 1.4×	110 0.9×	29 0.2×	70 0.8×	131 1.6×	61	521

Countries citing papers authored by Hong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Hong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ma

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