Ting Hon

1.4k total citations · 1 hit paper
7 papers, 717 citations indexed

About

Ting Hon is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ting Hon has authored 7 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ting Hon's work include RNA modifications and cancer (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chromosomal and Genetic Variations (2 papers). Ting Hon is often cited by papers focused on RNA modifications and cancer (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chromosomal and Genetic Variations (2 papers). Ting Hon collaborates with scholars based in United States, Australia and Mexico. Ting Hon's co-authors include Doreen Ware, Elizabeth Tseng, Tyson A. Clark, Joshua C. Stein, Bo Wang, Zhenyuan Lu, Yinping Jiao, Michael Regulski, Andrew Olson and Cynthia Steiner and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Data.

In The Last Decade

Ting Hon

7 papers receiving 710 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.

Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing

2016 397 citations Bo Wang, Elizabeth Tseng et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Hon United States	5	549	267	150	77	41	7	717
Nicholas P. Devitt United States	8	369 0.7×	243 0.9×	86 0.6×	47 0.6×	29 0.7×	11	544
Jennifer L. Jacobi United States	8	402 0.7×	178 0.7×	113 0.8×	44 0.6×	24 0.6×	10	553
Hangxiao Zhang China	18	608 1.1×	426 1.6×	104 0.7×	59 0.8×	56 1.4×	41	915
Juan Carlos Entizne United Kingdom	4	593 1.1×	330 1.2×	110 0.7×	43 0.6×	17 0.4×	4	767
Andrew D. L. Nelson United States	21	777 1.4×	469 1.8×	132 0.9×	43 0.6×	50 1.2×	45	1.0k
Xueda Hu China	4	786 1.4×	234 0.9×	150 1.0×	76 1.0×	13 0.3×	5	899
Vesselin Baev Bulgaria	17	735 1.3×	435 1.6×	364 2.4×	61 0.8×	50 1.2×	48	1.1k
Songbo Wang China	10	323 0.6×	221 0.8×	108 0.7×	103 1.3×	53 1.3×	30	521
Caroline Callot France	15	412 0.8×	350 1.3×	42 0.3×	67 0.9×	35 0.9×	27	719

Countries citing papers authored by Ting Hon

Since Specialization

Citations

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

Fields of papers citing papers by Ting Hon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Hon

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

All Works

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7 of 7 papers shown

1.

Hon, Ting, Greg Young, Yu‐Chih Tsai, et al.. (2020). Highly accurate long-read HiFi sequencing data for five complex genomes. Scientific Data. 7(1). 399–399. 186 indexed citations

2.

Tian, Liqing, Ying Shao, Stephanie Nance, et al.. (2019). Long-read sequencing unveils IGH-DUX4 translocation into the silenced IGH allele in B-cell acute lymphoblastic leukemia. Nature Communications. 10(1). 2789–2789. 17 indexed citations

3.

Tseng, Elizabeth, et al.. (2019). The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis. Frontiers in Genetics. 10. 584–584. 17 indexed citations

4.

Tseng, Elizabeth, Brendan D. Galvin, Ting Hon, Wigard P. Kloosterman, & Meredith Ashby. (2019). Abstract 1669: Full length transcriptome sequencing of melanoma cell line complements long read sequencing assessment of genomic rearrangements. Cancer Research. 79(13_Supplement). 1669–1669. 1 indexed citations

5.

Deveson, Ira W., Marion E. G. Brunck, James Blackburn, et al.. (2018). Universal Alternative Splicing of Noncoding Exons. Cell Systems. 6(2). 245–255.e5. 98 indexed citations

6.

Tian, Liqing, Beisi Xu, Ying Shao, et al.. (2018). Abstract 1485: Allelic specificity of immunoglobulin heavy chain (IGH) translocation in B-cell acute lymphoblastic leukemia (B-ALL) unveiled by long-read sequencing. Cancer Research. 78(13_Supplement). 1485–1485. 1 indexed citations

7.

Wang, Bo, Elizabeth Tseng, Michael Regulski, et al.. (2016). Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing. Nature Communications. 7(1). 11708–11708. 397 indexed citations breakdown →

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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