Hank Wu

2.9k total citations
11 papers, 1.1k citations indexed

About

Hank Wu is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Hank Wu has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Hank Wu's work include Photosynthetic Processes and Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Hank Wu is often cited by papers focused on Photosynthetic Processes and Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Hank Wu collaborates with scholars based in United States, Germany and Mexico. Hank Wu's co-authors include Christopher D. Town, Michelle A. Graham, William A. Moskal, Beverly A. Underwood, Kathryn A. VandenBosch, Kevin A.T. Silverstein, Julia C. Redman, Foo Cheung, Michael K. Udvardi and Tomasz Czechowski and has published in prestigious journals such as Bioinformatics, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Hank Wu

11 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hank Wu United States	9	744	613	127	51	47	11	1.1k
Sonia Campo Spain	18	1.4k 1.8×	600 1.0×	115 0.9×	17 0.3×	136 2.9×	25	1.6k
William A. Moskal United States	7	427 0.6×	449 0.7×	122 1.0×	13 0.3×	53 1.1×	8	676
Pulugurtha Bharadwaja Kirti India	18	689 0.9×	523 0.9×	73 0.6×	10 0.2×	87 1.9×	38	875
Elena Titarenko Spain	10	1.5k 2.1×	1.0k 1.7×	32 0.3×	30 0.6×	72 1.5×	14	1.7k
Barbara Kracher Germany	18	1.8k 2.4×	700 1.1×	20 0.2×	18 0.4×	63 1.3×	21	2.1k
Elena Petutschnig Germany	15	1.6k 2.1×	457 0.7×	15 0.1×	34 0.7×	34 0.7×	21	1.7k
Prashant Yadav India	12	732 1.0×	263 0.4×	18 0.1×	24 0.5×	32 0.7×	26	846
Christopher Botanga United States	13	1.1k 1.5×	546 0.9×	25 0.2×	32 0.6×	41 0.9×	19	1.2k
Yoon Duck Koo South Korea	11	926 1.2×	680 1.1×	79 0.6×	7 0.1×	68 1.4×	13	1.2k
Oliver Trentmann Germany	16	1.1k 1.4×	628 1.0×	21 0.2×	17 0.3×	20 0.4×	24	1.4k

Countries citing papers authored by Hank Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hank Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hank Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hank Wu. A scholar is included among the top collaborators of Hank Wu 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 Hank Wu. Hank Wu 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:

11 of 11 papers shown

Li, Yushan, et al.. (2019). Modeling and Analysis of Nonlinear High-Speed Links. 149. 475–480. 5 indexed citations

Wu, Hank, et al.. (2019). High Performance Low Cost Package and Platform Design for 56G PAM4 SerDes. 12. 1–3. 1 indexed citations

Xiao, Yongli, Julia C. Redman, Beverly A. Underwood, et al.. (2010). High throughput generation of promoter reporter (GFP) transgenic lines of low expressing genes in Arabidopsis and analysis of their expression patterns. Plant Methods. 6(1). 18–18. 23 indexed citations

Kakar, Klementina, Maren Wandrey, Tomasz Czechowski, et al.. (2008). A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula. Plant Methods. 4(1). 18–18. 116 indexed citations

Goll, Johannes B., et al.. (2008). MPIDB: the microbial protein interaction database. Bioinformatics. 24(15). 1743–1744. 91 indexed citations

Silverstein, Kevin A.T., William A. Moskal, Hank Wu, et al.. (2007). Small cysteine‐rich peptides resembling antimicrobial peptides have been under‐predicted in plants. The Plant Journal. 51(2). 262–280. 369 indexed citations

Moskal, William A., Hank Wu, Beverly A. Underwood, et al.. (2007). Experimental validation of novel genes predicted in the un-annotated regions of the Arabidopsis genome. BMC Genomics. 8(1). 18–18. 13 indexed citations

Hernández, Georgina, Mario Ramı́rez, Oswaldo Valdés‐López, et al.. (2007). Phosphorus Stress in Common Bean: Root Transcript and Metabolic Responses. PLANT PHYSIOLOGY. 144(2). 752–767. 260 indexed citations

Thibaud‐Nissen, Françoise, Hank Wu, Todd Richmond, et al.. (2006). Development of Arabidopsis whole‐genome microarrays and their application to the discovery of binding sites for the TGA2 transcription factor in salicylic acid‐treated plants. The Plant Journal. 47(1). 152–162. 97 indexed citations

10.

Ayele, Mulu, Brian J. Haas, Nikhil Kumar, et al.. (2005). Whole genome shotgun sequencing ofBrassica oleraceaand its application to gene discovery and annotation inArabidopsis. Genome Research. 15(4). 487–495. 51 indexed citations

11.

Xiao, Yongli, Shannon R. Smith, Nadeeza Ishmael, et al.. (2005). Analysis of the cDNAs of Hypothetical Genes on Arabidopsis Chromosome 2 Reveals Numerous Transcript Variants. PLANT PHYSIOLOGY. 139(3). 1323–1337. 45 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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