Heng Ma

73 total papers · 1.2k total citations
29 papers, 342 citations indexed

About

Heng Ma is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Heng Ma has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Heng Ma's work include Protein Structure and Dynamics (5 papers), Cell Image Analysis Techniques (3 papers) and Network Packet Processing and Optimization (3 papers). Heng Ma is often cited by papers focused on Protein Structure and Dynamics (5 papers), Cell Image Analysis Techniques (3 papers) and Network Packet Processing and Optimization (3 papers). Heng Ma collaborates with scholars based in United States, China and India. Heng Ma's co-authors include Jun Ren, Cindy X. Fang, D. Paul Thomas, Leilei He, Feng Dong, Tao Wei, Arvind Ramanathan, Mohamed Y. El‐Naggar, Machender R. Kandadi and Baofu Qiao and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Heng Ma

28 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Heng Ma 138 70 64 49 43 29 342
Sabrina de Azevedo Silveira 205 1.5× 14 0.2× 84 1.3× 30 0.6× 14 0.3× 24 315
Wei Peng 169 1.2× 14 0.2× 70 1.1× 26 0.5× 10 0.2× 57 385
Emmanuel Bresso 92 0.7× 74 1.1× 50 0.8× 22 0.4× 8 0.2× 32 362
Junjun Huang 118 0.9× 21 0.3× 18 0.3× 26 0.5× 13 0.3× 41 324
E. Vila 171 1.2× 55 0.8× 107 1.7× 108 2.2× 18 0.4× 20 377
Shanthi Nagarajan 203 1.5× 16 0.2× 47 0.7× 20 0.4× 25 0.6× 22 380
Yue Yang 196 1.4× 11 0.2× 91 1.4× 22 0.4× 9 0.2× 23 350
Ahsanullah Unar 140 1.0× 13 0.2× 32 0.5× 6 0.1× 10 0.2× 49 403
Yuh‐Jyh Hu 155 1.1× 15 0.2× 30 0.5× 16 0.3× 4 0.1× 35 338
Eleonora Gianti 217 1.6× 35 0.5× 52 0.8× 12 0.2× 51 1.2× 20 385

Countries citing papers authored by Heng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Heng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Ma

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