Haiming Ma
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
Papers in
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- Genomics and Phylogenetic Studies 11
- Circular RNAs in diseases 9
- Machine Learning in Bioinformatics 8
- RNA and protein synthesis mechanisms 5
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- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 9
- Co-authors
- Yang Hu (3 shared papers)Xing-Li Xu (3 shared papers)Jun Jiang (1 shared paper)Jun He (10 shared papers)Xiujuan Fu (2 shared papers)Xu Dong (11 shared papers)Kang Xu (8 shared papers)Qinghua Zeng (7 shared papers)
- Journals
- Genes (5 papers)International Journal of Molecular Sciences (3 papers)Biology (3 papers)BMC Genomics (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesEstonia
In The Last Decade
Haiming Ma
44 papers receiving 418 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 135
- Animal Science and Zoology 80
- Genetics 105
- Molecular Biology 243
- Physiology 82
Countries citing papers authored by Haiming Ma
This map shows the geographic impact of Haiming 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 Haiming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiming Ma more than expected).
Fields of papers citing papers by Haiming Ma
This network shows the impact of papers produced by Haiming 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 Haiming Ma. The network helps show where Haiming Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiming Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 56 | |
| 2 | 2018 | 39 | |
| 3 | 2003 | 38 | |
| 4 | 2017 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2013 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 8 |
About Haiming Ma
Haiming Ma is a scholar working on Molecular Biology, Cancer Research, Genetics, Physiology and Animal Science and Zoology, having authored 50 papers that have together received 429 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), Genomics and Phylogenetic Studies (11 papers), MicroRNA in disease regulation (9 papers), Adipose Tissue and Metabolism (9 papers), Circular RNAs in diseases (9 papers), Genetic and phenotypic traits in livestock (8 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Cancer Research (135 citations), Animal Science and Zoology (80 citations), Genetics (105 citations), Molecular Biology (243 citations) and Physiology (82 citations). Haiming Ma has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Yang Hu, Xing-Li Xu, Jun Jiang, Jun He, Xiujuan Fu, Xu Dong, Kang Xu, Qinghua Zeng, Yulong Yin and Yehui Duan. Their work appears in journals such as Genes, International Journal of Molecular Sciences, Biology, BMC Genomics and Frontiers in Genetics.
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.