Ming‐Ming Hu
Impact in
- Immunology top 1%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
- Immunology 35
- interferon and immune responses 33
- Immune Response and Inflammation 14
- Immune Cell Function and Interaction 5
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- RNA regulation and disease 8
- RNA Research and Splicing 4
- Co-authors
- Hong‐Bing Shu (34 shared papers)Heng Lin (9 shared papers)Yan‐Yi Wang (3 shared papers)Jing Zhang (1 shared paper)Qing Yang (13 shared papers)Xueqin Xie (3 shared papers)Qing Yang (3 shared papers)Tiantian Liu (2 shared papers)
In The Last Decade
Ming‐Ming Hu
49 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Immunology 2.0k
- Infectious Diseases 605
- Cancer Research 327
- Molecular Biology 1.4k
- Epidemiology 411
Countries citing papers authored by Ming‐Ming Hu
This map shows the geographic impact of Ming‐Ming Hu'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 Ming‐Ming Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ming Hu more than expected).
Fields of papers citing papers by Ming‐Ming Hu
This network shows the impact of papers produced by Ming‐Ming Hu. 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 Ming‐Ming Hu. The network helps show where Ming‐Ming Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Ming Hu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 335 | |
| 2 | 2016 | 315 | |
| 3 | 2014 | 171 | |
| 4 | 2014 | 171 | |
| 5 | 2014 | 124 | |
| 6 | 2019 | 121 | |
| 7 | 2018 | 116 | |
| 8 | 2017 | 114 | |
| 9 | 2018 | 114 | |
| 10 | 2020 | 105 | |
| 11 | 2017 | 99 | |
| 12 | 2018 | 96 | |
| 13 | 2019 | 91 | |
| 14 | 2020 | 81 | |
| 15 | 2017 | 81 | |
| 16 | 2015 | 76 | |
| 17 | 2017 | 59 | |
| 18 | 2013 | 53 | |
| 19 | 2018 | 45 | |
| 20 | 2021 | 45 |
About Ming‐Ming Hu
Ming‐Ming Hu is a scholar working on Immunology, Molecular Biology, Cancer Research, Oncology and Infectious Diseases, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include interferon and immune responses (33 papers), Immune Response and Inflammation (14 papers), RNA regulation and disease (8 papers), Viral Infections and Vectors (6 papers), NF-κB Signaling Pathways (6 papers), Immune Cell Function and Interaction (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Immunology (2.0k citations), Infectious Diseases (605 citations), Cancer Research (327 citations), Molecular Biology (1.4k citations) and Epidemiology (411 citations). Ming‐Ming Hu has collaborated with scholars based in China and Iran. Frequent co-authors include Hong‐Bing Shu, Heng Lin, Yan‐Yi Wang, Jing Zhang, Qing Yang, Xueqin Xie, Qing Yang, Tiantian Liu, Shu Li and Bo Zhong. Their work appears in journals such as Cellular and Molecular Immunology, Proceedings of the National Academy of Sciences, PLoS Pathogens, The Journal of Immunology and Immunity.
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.