Hong Mā

39.7k total citations · 12 hit papers
358 papers, 28.1k citations indexed

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 358 papers receiving a total of 28.1k indexed citations (citations by other indexed papers that have themselves been cited), including 273 papers in Molecular Biology, 237 papers in Plant Science and 67 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hong Mā's work include Plant Molecular Biology Research (146 papers), Plant Reproductive Biology (121 papers) and Photosynthetic Processes and Mechanisms (92 papers). Hong Mā is often cited by papers focused on Plant Molecular Biology Research (146 papers), Plant Reproductive Biology (121 papers) and Photosynthetic Processes and Mechanisms (92 papers). Hong Mā collaborates with scholars based in United States, China and South Korea. Hong Mā's co-authors include Claude W. dePamphilis, Martin F. Yanofsky, Elliot M. Meyerowitz, Yi Hu, Jim Leebens‐Mack, Yukiko Mizukami, Hongzhi Kong, Pamela S. Soltis, 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

Hong Mā

349 papers receiving 27.6k citations

Hit Papers

Ancestral polyploidy in seed plants... 1990 2026 2002 2014 2011 1990 2008 1995 2006 500 1000 1.5k

Peers

Hong Mā
Comparison fields: 5 of 156
  • Plant Science 21.8k
  • Molecular Biology 21.4k
  • Ecology, Evolution, Behavior and Systematics 4.1k
  • Genetics 2.6k
  • Cell Biology 1.2k
Replace Claude W. dePamphilis with:
Claude W. dePamphilis United States
Makoto Matsuoka Japan
Caroline Dean United Kingdom
Luca Comai United States
Gynheung An South Korea
Li D China
William F. Thompson United States
Jim Leebens‐Mack United States
Jeff J. Doyle United States
Jaroslav Doležel Czechia
Claude W. dePamphilis United States View profile →
Citations per field, relative to Hong Mā
Hong Mā · 1×
Citations per year, relative to Hong Mā
Hong Mā · 1×

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).

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.

Co-authorship network of co-authors of Hong Mā

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Mā. A scholar is included among the top collaborators of Hong Mā 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 Mā. Hong Mā is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 3
4 8
5 23
6 14
7 16
8 52
9 43
10 1
11 1
12 102
13 29
14 91
15 133
16 215
17 213
18 50
19 187
20 228

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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