Jane He
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Co-authors
- Stephen H. Bryant (3 shared papers)Siqian He (2 shared papers)Lianyi Han (3 shared papers)Jiyao Wang (1 shared paper)Jie Chen (1 shared paper)Benjamin A. Shoemaker (1 shared paper)Jian Zhang (1 shared paper)Sunghwan Kim (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)International Journal of Dentistry (1 paper)Cancer Prevention Research (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)Database (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Jane He
9 papers receiving 7.5k citations
Jane He's Hit Papers
Peers
Comparison fields: 5 of 187
- Computational Theory and Mathematics 1.6k
- Molecular Biology 3.7k
- Pharmacology 371
- Pharmacology 517
- Plant Science 1.2k
Countries citing papers authored by Jane He
This map shows the geographic impact of Jane 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 Jane He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane He more than expected).
Fields of papers citing papers by Jane He
This network shows the impact of papers produced by Jane 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 Jane He. The network helps show where Jane He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane He, 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 | PubChem Substance and Compound databases Hit paper breakdown → | 2015 | 4065 |
| 2 | CDD: NCBI's conserved domain database Hit paper breakdown → | 2014 | 2685 |
| 3 | The NCBI BioSystems database Hit paper breakdown → | 2009 | 661 |
| 4 | 2009 | 96 | |
| 5 | 2017 | 45 | |
| 6 | 2015 | 18 | |
| 7 | 2012 | 6 | |
| 8 | The development of the next generation BSIM for sub-100nm mixed-signal circuit simulation | 2004 | 3 |
| 9 | 2016 | 1 |
About Jane He
Jane He is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Periodontics, Artificial Intelligence and Computational Theory and Mathematics, having authored 9 papers that have together received 7.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper) and Dental Health and Care Utilization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Molecular Biology (3.7k citations), Pharmacology (371 citations), Pharmacology (517 citations) and Plant Science (1.2k citations). Jane He has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Stephen H. Bryant, Siqian He, Lianyi Han, Jiyao Wang, Jie Chen, Benjamin A. Shoemaker, Jian Zhang, Sunghwan Kim, Paul Thiessen and Asta Gindulytė. Their work appears in journals such as Nucleic Acids Research, International Journal of Dentistry, Cancer Prevention Research, Journal of Cerebral Blood Flow & Metabolism and Database.
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.