Alina T. He

1.3k total citations · 1 hit paper
10 papers, 890 citations indexed

About

Alina T. He is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alina T. He has authored 10 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alina T. He's work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (4 papers). Alina T. He is often cited by papers focused on Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (4 papers). Alina T. He collaborates with scholars based in Canada, China and United States. Alina T. He's co-authors include Burton B. Yang, Feiya Li, Jinglei Liu, Qiwei Yang, William W. Du, Juanjuan Lyu, Nan Wu, Jian Ma, Ling Fang and Kaixuan Zeng and has published in prestigious journals such as Blood, Circulation Research and Cell Death and Differentiation.

In The Last Decade

Alina T. He

9 papers receiving 885 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeting circular RNAs as a therapeutic approach: current strategies and challenges

2021 377 citations Alina T. He, Jinglei Liu et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alina T. He Canada	8	845	700	31	30	28	10	890
Linda Szabo United States	7	1.0k 1.2×	831 1.2×	18 0.6×	11 0.4×	22 0.8×	9	1.1k
Shujuan Meng China	7	1.2k 1.5×	1.1k 1.6×	41 1.3×	25 0.8×	33 1.2×	8	1.3k
Masaki Hosogane Japan	7	753 0.9×	231 0.3×	12 0.4×	23 0.8×	37 1.3×	10	811
Francesca Varrone Italy	7	440 0.5×	300 0.4×	11 0.4×	28 0.9×	41 1.5×	9	553
Parisa Naeli Iran	10	444 0.5×	377 0.5×	12 0.4×	18 0.6×	33 1.2×	21	536
Hak Kyun Kim South Korea	9	722 0.9×	481 0.7×	11 0.4×	13 0.4×	27 1.0×	16	791
Xiao Albert Zhou China	8	366 0.4×	242 0.3×	13 0.4×	16 0.5×	59 2.1×	14	512

Countries citing papers authored by Alina T. He

Since Specialization

Citations

This map shows the geographic impact of Alina T. 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 Alina T. He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alina T. He more than expected).

Fields of papers citing papers by Alina T. He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina T. He

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

All Works

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10 of 10 papers shown

1.

Hoops, Daniel, Alina T. He, Liping Li, et al.. (2024). The scheduling of adolescence with Netrin-1 and UNC5C. eLife. 12.

2.

Hoops, Daniel, Alina T. He, Liping Li, et al.. (2023). The scheduling of adolescence with Netrin-1 and UNC5C. eLife. 12. 7 indexed citations

3.

Moore, Stephen J., Alina T. He, Ian Huck, et al.. (2022). Characterization of ELA026, a Clinical-Stage Monoclonal Antibody That Rapidly and Potently Depletes Myeloid Cells and T Lymphocytes. Blood. 140(Supplement 1). 8318–8319. 1 indexed citations

4.

He, Alina T., Jinglei Liu, Feiya Li, & Burton B. Yang. (2021). Targeting circular RNAs as a therapeutic approach: current strategies and challenges. Signal Transduction and Targeted Therapy. 6(1). 185–185. 377 indexed citations breakdown →

5.

Zhang, Chao, Alina T. He, Chang Wen, et al.. (2021). Circular RNA in tumor metastasis. Molecular Therapy — Nucleic Acids. 23. 1243–1257. 23 indexed citations

6.

Yang, Qiwei, Feiya Li, Alina T. He, & Burton B. Yang. (2021). Circular RNAs: Expression, localization, and therapeutic potentials. Molecular Therapy. 29(5). 1683–1702. 104 indexed citations

7.

Du, William W., Jindong Xu, Weining Yang, et al.. (2021). A Neuroligin Isoform Translated by circNlgn Contributes to Cardiac Remodeling. Circulation Research. 129(5). 568–582. 57 indexed citations

8.

Li, Feiya, Qiwei Yang, Alina T. He, & Burton B. Yang. (2020). Circular RNAs in cancer: Limitations in functional studies and diagnostic potential. Seminars in Cancer Biology. 75. 49–61. 87 indexed citations

9.

Wu, Nan, Zhidong Yuan, Ling Fang, et al.. (2019). Translation of yes-associated protein (YAP) was antagonized by its circular RNA via suppressing the assembly of the translation initiation machinery. Cell Death and Differentiation. 26(12). 2758–2773. 124 indexed citations

10.

Fang, Ling, William W. Du, Juanjuan Lyu, et al.. (2018). Enhanced breast cancer progression by mutant p53 is inhibited by the circular RNA circ-Ccnb1. Cell Death and Differentiation. 25(12). 2195–2208. 110 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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