Yu-Hsuan Cheng

737 total citations · 1 hit paper
5 papers, 531 citations indexed

About

Yu-Hsuan Cheng is a scholar working on Plant Science, Epidemiology and Endocrinology. According to data from OpenAlex, Yu-Hsuan Cheng has authored 5 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Plant Science, 2 papers in Epidemiology and 2 papers in Endocrinology. Recurrent topics in Yu-Hsuan Cheng's work include Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers) and Infections and bacterial resistance (2 papers). Yu-Hsuan Cheng is often cited by papers focused on Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers) and Infections and bacterial resistance (2 papers). Yu-Hsuan Cheng collaborates with scholars based in Taiwan and France. Yu-Hsuan Cheng's co-authors include Yi‐Fang Tsay, Kuo‐En Chen, Yayun Wang, Hung‐Sheng Shang, Hsing‐Yi Chung, Ming‐Jr Jian, Cherng‐Lih Perng, Virginie Bréhaut, Chi‐Hsin Hsu and Anne Krapp and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Annual Review of Plant Biology.

In The Last Decade

Yu-Hsuan Cheng

5 papers receiving 528 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.

Nitrate Transport, Signaling, and Use Efficiency

2018 474 citations Yayun Wang, Yu-Hsuan Cheng et al. Annual Review of Plant Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Hsuan Cheng Taiwan	4	472	68	57	37	27	5	531
Kurt Patterson United States	7	379 0.8×	173 2.5×	17 0.3×	16 0.4×	8 0.3×	7	465
Jin‐Qiu Xia China	10	445 0.9×	123 1.8×	51 0.9×	55 1.5×	1 0.0×	18	483
V. Sureshkumar India	10	247 0.5×	74 1.1×	6 0.1×	17 0.5×	9 0.3×	21	282
Alamin Alfatih China	7	385 0.8×	100 1.5×	51 0.9×	40 1.1×	1 0.0×	11	409
Lore Cloots Belgium	8	148 0.3×	176 2.6×	2 0.0×	18 0.5×	11 0.4×	10	310
Sami Ullah Jan China	7	233 0.5×	79 1.2×	19 0.3×	17 0.5×		17	269
Kishorekumar Reddy India	8	331 0.7×	87 1.3×	3 0.1×	18 0.5×	39 1.4×	15	382
Mingming Yang China	13	366 0.8×	98 1.4×		28 0.8×	12 0.4×	31	475
Mashitah Jusoh Malaysia	12	360 0.8×	27 0.4×	3 0.1×	38 1.0×	2 0.1×	26	483
Chufu Zhang China	10	352 0.7×	122 1.8×	2 0.0×	35 0.9×	4 0.1×	18	454

Countries citing papers authored by Yu-Hsuan Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Hsuan Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Hsuan Cheng. 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 Yu-Hsuan Cheng. The network helps show where Yu-Hsuan Cheng may publish in the future.

Co-authorship network of co-authors of Yu-Hsuan Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Cheng, Yu-Hsuan, Mickaël Durand, Virginie Bréhaut, et al.. (2023). Interplay between NIN-LIKE PROTEINs 6 and 7 in nitrate signaling. PLANT PHYSIOLOGY. 192(4). 3049–3068. 23 indexed citations

2.

Jian, Ming‐Jr, Hsing‐Yi Chung, Yu-Hsuan Cheng, et al.. (2019). Fluoroquinolone resistance in carbapenem-resistant Elizabethkingia anophelis: phenotypic and genotypic characteristics of clinical isolates with topoisomerase mutations and comparative genomic analysis. Journal of Antimicrobial Chemotherapy. 74(6). 1503–1510. 24 indexed citations

3.

Jian, Ming‐Jr, Cherng‐Lih Perng, Jun‐Ren Sun, et al.. (2019). Multicentre MDR Elizabethkingia anophelis isolates: Novel random amplified polymorphic DNA with capillary electrophoresis systems to rapid molecular typing compared to genomic epidemiology analysis. Scientific Reports. 9(1). 1806–1806. 9 indexed citations

4.

Wang, Yayun, Yu-Hsuan Cheng, Kuo‐En Chen, & Yi‐Fang Tsay. (2018). Nitrate Transport, Signaling, and Use Efficiency. Annual Review of Plant Biology. 69(1). 85–122. 474 indexed citations breakdown →

5.

Cheng, Yu-Hsuan, et al.. (2012). Realization Of Fractional-Order Capacitors With Field-Effect Transistors. Zenodo (CERN European Organization for Nuclear Research). 6(11). 1252–1255. 1 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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