Heping Zheng
- Molecular Biology top 5%
- Protein Structure and Dynamics 21
- RNA and protein synthesis mechanisms 5
- Structural Biology top 10%
- Materials Chemistry top 10%
- Enzyme Structure and Function 24
- Surgery top 10%
- Reconstructive Surgery and Microvascular Techniques 31
- Orthopedic Surgery and Rehabilitation 14
- Reconstructive Facial Surgery Techniques 12
- Nutrition and Dietetics top 10%
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- Bone fractures and treatments 11
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- Computational Drug Discovery Methods 6
- Co-authors
- W. MinorM. ChruszczDavid R. CooperK.B. HandingPrzemyslaw PorebskiLukasz LebiodaMatthew D. ZimmermanMahendra D. Chordia
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Heping Zheng
103 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.3k
- Structural Biology 26
- Materials Chemistry 541
- Surgery 375
- Nutrition and Dietetics 125
Countries citing papers authored by Heping Zheng
This map shows the geographic impact of Heping Zheng'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 Heping Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Zheng more than expected).
Fields of papers citing papers by Heping Zheng
This network shows the impact of papers produced by Heping Zheng. 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 Heping Zheng. The network helps show where Heping Zheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heping Zheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 40 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 70 | |
| 10 | マイクロRNA-101-3pはTLR2発現を下方制御し,Treponema pallidum刺激マクロファージによるサイトカイン産生の減少を導く【JST・京大機械翻訳】 | 2020 | 3 |
| 11 | 2019 | 23 | |
| 12 | 2018 | 3 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 79 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 13 | |
| 17 | Relationship between seroresistance and molecular subtypes of treponema pallidum repeat gene | 2011 | 2 |
| 18 | 2009 | 13 | |
| 19 | 2006 | 7 | |
| 20 | Detection and Genotyping of Treponema pallidum by a Nested PCR | 2005 | 3 |
About Heping Zheng
Heping Zheng is a scholar working on Surgery, Molecular Biology and Materials Chemistry, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (31 papers), Enzyme Structure and Function (24 papers), Protein Structure and Dynamics (21 papers), Orthopedic Surgery and Rehabilitation (14 papers), Reconstructive Facial Surgery Techniques (12 papers), Bone fractures and treatments (11 papers), Computational Drug Discovery Methods (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Structural Biology (26 citations) and Materials Chemistry (541 citations). Heping Zheng has collaborated with scholars based in China, United States and Poland. Frequent co-authors include W. Minor, M. Chruszcz, David R. Cooper, K.B. Handing, W. Minor, Przemyslaw Porebski, Lukasz Lebioda, Matthew D. Zimmerman, Mahendra D. Chordia and Péter Müller. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.