Longlong Wang
Impact in
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- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
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- Peptidase Inhibition and Analysis
Papers in
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- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 2
- Circular RNAs in diseases 2
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- interferon and immune responses 4
- Immune Cell Function and Interaction 2
- Co-authors
- Patrick Matthias (6 shared papers)Y. Miyake (2 shared papers)Daniel Heß (2 shared papers)H. Gut (1 shared paper)Makoto Saito (1 shared paper)Xiao‐Ning Wang (1 shared paper)Bruce J. Melancon (1 shared paper)Paul Helquist (1 shared paper)
- Journals
- Cell Reports (2 papers)Fish & Shellfish Immunology (2 papers)Nature Communications (1 paper)iScience (1 paper)Developmental Biology (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Longlong Wang
23 papers receiving 527 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 376
- Oncology 113
- Cancer Research 49
- Geriatrics and Gerontology 11
- Physiology 13
Countries citing papers authored by Longlong Wang
This map shows the geographic impact of Longlong Wang'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 Longlong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong Wang more than expected).
Fields of papers citing papers by Longlong Wang
This network shows the impact of papers produced by Longlong Wang. 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 Longlong Wang. The network helps show where Longlong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longlong Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 240 | |
| 2 | 2012 | 43 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 18 | |
| 8 | 2018 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2025 | 3 |
About Longlong Wang
Longlong Wang is a scholar working on Molecular Biology, Immunology, Oncology, Mechanical Engineering and Infectious Diseases, having authored 23 papers that have together received 527 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), interferon and immune responses (4 papers), Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers), Circular RNAs in diseases (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (376 citations), Oncology (113 citations), Cancer Research (49 citations), Geriatrics and Gerontology (11 citations) and Physiology (13 citations). Longlong Wang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Patrick Matthias, Y. Miyake, Daniel Heß, H. Gut, Makoto Saito, Xiao‐Ning Wang, Bruce J. Melancon, Paul Helquist, J.J. Keusch and Mengyue Yang. Their work appears in journals such as Cell Reports, Fish & Shellfish Immunology, Nature Communications, iScience and Developmental Biology.
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.