Jiahua He

3.5k total citations · 2 hit papers
37 papers, 2.1k citations indexed

About

Jiahua He is a scholar working on Molecular Biology, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Jiahua He has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Hardware and Architecture and 7 papers in Computer Networks and Communications. Recurrent topics in Jiahua He's work include Parallel Computing and Optimization Techniques (7 papers), Enzyme Structure and Function (7 papers) and Advanced Electron Microscopy Techniques and Applications (7 papers). Jiahua He is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Enzyme Structure and Function (7 papers) and Advanced Electron Microscopy Techniques and Applications (7 papers). Jiahua He collaborates with scholars based in China, United States and Japan. Jiahua He's co-authors include Sheng‐You Huang, Huanyu Tao, Yumeng Yan, Allan Snavely, Yi Xiao, Tao Li, Junzhong Lin, Jianhong Peng, Weihao Li and Zhizhong Pan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Jiahua He

32 papers receiving 2.1k citations

Hit Papers

The HDOCK server for integrated protein–protein docking 2020 2026 2022 2024 2020 2023 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiahua He China 19 1.2k 249 231 187 170 37 2.1k
Martín Steffen United States 27 1.8k 1.5× 138 0.6× 152 0.7× 53 0.3× 718 4.2× 113 3.7k
Zhijian Lu United States 27 1.1k 0.9× 66 0.3× 140 0.6× 232 1.2× 423 2.5× 70 2.3k
Daniel Cociorva United States 20 1.7k 1.4× 42 0.2× 68 0.3× 156 0.8× 80 0.5× 32 2.6k
Christophe Blanchet France 18 1.9k 1.6× 156 0.6× 67 0.3× 84 0.4× 201 1.2× 36 2.9k
Wei Jin China 29 1.3k 1.1× 115 0.5× 383 1.7× 104 0.6× 309 1.8× 75 2.6k
James C. Hu United States 26 2.2k 1.8× 96 0.4× 90 0.4× 79 0.4× 73 0.4× 68 2.6k
Zhenfeng Zhang China 33 879 0.7× 281 1.1× 288 1.2× 116 0.6× 286 1.7× 96 2.7k
Charles Lin United States 19 1.8k 1.4× 201 0.8× 526 2.3× 19 0.1× 1.0k 5.9× 26 3.0k
Yufei Wang China 22 865 0.7× 422 1.7× 196 0.8× 39 0.2× 394 2.3× 108 2.0k
Philip Bucher Germany 9 2.0k 1.6× 98 0.4× 88 0.4× 20 0.1× 280 1.6× 12 2.8k

Countries citing papers authored by Jiahua He

Since Specialization
Citations

This map shows the geographic impact of Jiahua He'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 Jiahua He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahua He more than expected).

Fields of papers citing papers by Jiahua He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiahua He. 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 Jiahua He. The network helps show where Jiahua He may publish in the future.

Co-authorship network of co-authors of Jiahua He

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahua He. A scholar is included among the top collaborators of Jiahua He 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 Jiahua He. Jiahua He 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
1.
Wang, Qiang, et al.. (2025). A new fusion model for enhanced ultra-short-term offshore wind power forecasting. Renewable Energy. 256. 123876–123876.
3.
He, Jiahua, Weihao Li, Song Wang, et al.. (2025). Cancer associated fibroblasts-derived lactate induces oxaliplatin treatment resistance by promoting cancer stemness via ANTXR1 lactylation in colorectal cancer. Cancer Letters. 631. 217917–217917. 6 indexed citations
4.
Li, Tao, et al.. (2024). Automated detection and de novo structure modeling of nucleic acids from cryo-EM maps. Nature Communications. 15(1). 9367–9367. 2 indexed citations
5.
Li, Weihao, Lan Jin, Rong Yang, et al.. (2024). Chromosomal instability is associated with prognosis and efficacy of bevacizumab after resection of colorectal cancer liver metastasis. Annals of Medicine. 56(1). 2396559–2396559. 1 indexed citations
6.
Li, Tao, Jiahua He, Yi Zhang, et al.. (2024). All-atom RNA structure determination from cryo-EM maps. Nature Biotechnology. 43(1). 97–105. 28 indexed citations
7.
Li, Weihao, Chi Zhou, Long Yu, et al.. (2023). Tumor-derived lactate promotes resistance to bevacizumab treatment by facilitating autophagy enhancer protein RUBCNL expression through histone H3 lysine 18 lactylation (H3K18la) in colorectal cancer. Autophagy. 20(1). 114–130. 240 indexed citations breakdown →
8.
Sun, Hui, Jiahua He, Zhizhong Pan, et al.. (2023). Neoadjuvant chemotherapy weakens the prognostic value of the pathological tumor burden score for colorectal cancer liver metastases. BMC Surgery. 23(1). 271–271. 1 indexed citations
9.
He, Jiahua, Tao Li, & Sheng‐You Huang. (2023). Improvement of cryo-EM maps by simultaneous local and non-local deep learning. Nature Communications. 14(1). 3217–3217. 80 indexed citations
10.
Xu, Yanbo, Weihao Li, Weili Zhang, et al.. (2022). The Pathologic Complete Response Ratio of Liver Metastases Represents a Valuable Prognostic Indicator. Pathology & Oncology Research. 28. 1610663–1610663. 3 indexed citations
11.
He, Jiahua, et al.. (2022). Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly. Nature Communications. 13(1). 4066–4066. 48 indexed citations
12.
He, Jiahua & Sheng‐You Huang. (2021). Full-length de novo protein structure determination from cryo-EM maps using deep learning. Bioinformatics. 37(20). 3480–3490. 22 indexed citations
13.
Yu, Haitao, Yanchao Liu, Ting He, et al.. (2021). Platelet biomarkers for a descending cognitive function: A proteomic approach. Aging Cell. 20(5). e13358–e13358. 41 indexed citations
14.
Yan, Yumeng, et al.. (2021). Docking and scoring for nucleic acid–ligand interactions: Principles and current status. Drug Discovery Today. 27(3). 838–847. 39 indexed citations
15.
Liu, Liling, Yuanzhong Yang, Hao Duan, et al.. (2021). CHI3L2 Is a Novel Prognostic Biomarker and Correlated With Immune Infiltrates in Gliomas. Frontiers in Oncology. 11. 611038–611038. 23 indexed citations
16.
He, Jiahua & Sheng‐You Huang. (2021). EMNUSS: a deep learning framework for secondary structure annotation in cryo-EM maps. Briefings in Bioinformatics. 22(6). 20 indexed citations
17.
Yan, Yumeng, Huanyu Tao, Jiahua He, & Sheng‐You Huang. (2020). The HDOCK server for integrated protein–protein docking. Nature Protocols. 15(5). 1829–1852. 1033 indexed citations breakdown →
18.
He, Jiahua, et al.. (2018). PepBDB: a comprehensive structural database of biological peptide–protein interactions. Bioinformatics. 35(1). 175–177. 53 indexed citations
19.
He, Jiahua, et al.. (2010). DASH: a Recipe for a Flash-based Data Intensive Supercomputer. 1–11. 34 indexed citations
20.
He, Jiahua, et al.. (2006). Measuring the Performance and Reliability of Production Computational Grids. 1659. 293–300. 30 indexed citations

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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