Jane He

12.9k total citations · 3 hit papers
9 papers, 7.2k citations indexed

About

Jane He is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Periodontics. According to data from OpenAlex, Jane He has authored 9 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Endocrine and Autonomic Systems and 1 paper in Periodontics. Recurrent topics in Jane He's work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Jane He is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Jane He collaborates with scholars based in United States, Italy and United Kingdom. Jane He's co-authors include Stephen H. Bryant, Lianyi Han, Siqian He, Asta Gindulytė, Benjamin A. Shoemaker, Paul Thiessen, Jie Chen, Gang Fu, Evan Bolton and Jiyao Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Cerebral Blood Flow & Metabolism and Cancer Prevention Research.

In The Last Decade

Jane He

9 papers receiving 7.1k citations

Hit Papers

PubChem Substance and Compound databases 2009 2026 2014 2020 2015 2014 2009 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane He United States 7 3.9k 1.6k 1.2k 546 505 9 7.2k
Santiago Garcı́a-Vallvé Spain 32 2.9k 0.7× 1.0k 0.6× 609 0.5× 353 0.6× 310 0.6× 72 4.7k
Ambrish Roy United States 17 5.2k 1.3× 928 0.6× 758 0.6× 329 0.6× 654 1.3× 21 7.5k
Tjaart de Beer United Kingdom 14 6.5k 1.7× 716 0.4× 1.4k 1.1× 513 0.9× 621 1.2× 25 10.7k
Rosalba Lepore Italy 15 5.7k 1.5× 576 0.4× 1.3k 1.0× 433 0.8× 514 1.0× 27 9.3k
Rafal Gumienny Switzerland 10 6.2k 1.6× 630 0.4× 1.3k 1.1× 458 0.8× 586 1.2× 10 9.9k
Gerardo Tauriello Switzerland 15 6.4k 1.7× 686 0.4× 1.4k 1.2× 508 0.9× 600 1.2× 22 10.5k
Florian Heer Switzerland 3 5.3k 1.4× 521 0.3× 1.2k 1.0× 418 0.8× 441 0.9× 4 8.7k
Christine Rempfer Germany 5 5.7k 1.5× 583 0.4× 1.3k 1.1× 454 0.8× 481 1.0× 6 9.3k
Leonid Zaslavsky United States 13 6.8k 1.7× 2.3k 1.4× 1.5k 1.2× 943 1.7× 852 1.7× 23 12.6k
Jianyi Yang China 37 6.3k 1.6× 1.5k 0.9× 634 0.5× 288 0.5× 1.0k 2.1× 114 8.6k

Countries citing papers authored by Jane He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jane He

This figure shows the co-authorship network connecting the top 25 collaborators of Jane He. A scholar is included among the top collaborators of Jane 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 Jane He. Jane He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Castro, Vı́ctor, et al.. (2017). Occludin regulates glucose uptake and ATP production in pericytes by influencing AMP-activated protein kinase activity. Journal of Cerebral Blood Flow & Metabolism. 38(2). 317–332. 40 indexed citations
2.
Gonzales, Noreen R., Farideh Chitsaz, Myra K. Derbyshire, et al.. (2016). Manual curation in the Conserved Domain Database. Faculty of 1000 Research Ltd. 5. 1 indexed citations
3.
Kim, Sunghwan, Paul Thiessen, Evan Bolton, et al.. (2015). PubChem Substance and Compound databases. Nucleic Acids Research. 44(D1). D1202–D1213. 3806 indexed citations breakdown →
4.
Derbyshire, Myra K., Noreen R. Gonzales, Shennan Lu, et al.. (2015). Improving the consistency of domain annotation within the Conserved Domain Database. Database. 2015. 18 indexed citations
5.
Marchler‐Bauer, Aron, Myra K. Derbyshire, Noreen R. Gonzales, et al.. (2014). CDD: NCBI's conserved domain database. Nucleic Acids Research. 43(D1). D222–D226. 2624 indexed citations breakdown →
6.
Barlow, Ashley, Jane He, Peter Jeffery, et al.. (2012). A Comparative Evaluation of the Efficacy of Two Novel Desensitising Dentifrices. International Journal of Dentistry. 2012. 1–8. 6 indexed citations
7.
Williams, James B., Diana Pang, Bertha Delgado, et al.. (2009). A Model of Gene-Environment Interaction Reveals Altered Mammary Gland Gene Expression and Increased Tumor Growth following Social Isolation. Cancer Prevention Research. 2(10). 850–861. 91 indexed citations
8.
Geer, Lewis Y., Aron Marchler‐Bauer, Renata C. Geer, et al.. (2009). The NCBI BioSystems database. Nucleic Acids Research. 38(suppl_1). D492–D496. 636 indexed citations breakdown →
9.
Xi, Xuemei, Jane He, Mohan V. Dunga, et al.. (2004). The development of the next generation BSIM for sub-100nm mixed-signal circuit simulation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2(2004). 70–73. 3 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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