Hong Mā

348 papers and 26.8k indexed citations i.

About

Hong Mā is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hong Mā has authored 348 papers receiving a total of 26.8k indexed citations (citations by other indexed papers that have themselves been cited), including 272 papers in Molecular Biology, 234 papers in Plant Science and 64 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hong Mā’s work include Plant Molecular Biology Research (145 papers), Plant Reproductive Biology (120 papers) and Photosynthetic Processes and Mechanisms (90 papers). Hong Mā is often cited by papers focused on Plant Molecular Biology Research (145 papers), Plant Reproductive Biology (120 papers) and Photosynthetic Processes and Mechanisms (90 papers). Hong Mā collaborates with scholars based in United States, China and United Kingdom. Hong Mā's co-authors include Martin F. Yanofsky, Claude W. dePamphilis, Pamela S. Soltis, Elliot M. Meyerowitz, Yi Hu, Jim Leebens‐Mack, Yukiko Mizukami, Hongzhi Kong, Lena Landherr and John L. Bowman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Hong Mā i

Fields of papers citing papers by Hong Mā

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Mā

Since Specialization
Citations

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

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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