Ku-chuan Hsiao

406 total citations
9 papers, 356 citations indexed

About

Ku-chuan Hsiao is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ecology. According to data from OpenAlex, Ku-chuan Hsiao has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Ecology. Recurrent topics in Ku-chuan Hsiao's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Bacteriophages and microbial interactions (2 papers). Ku-chuan Hsiao is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Bacteriophages and microbial interactions (2 papers). Ku-chuan Hsiao collaborates with scholars based in United States, Denmark and France. Ku-chuan Hsiao's co-authors include Arthur J. Blume, R E Brissette, Paul W. Fletcher, Neil I. Goldstein, Michael Lennick, Renuka Pillutla, Per Hansen, Asser S. Andersen, Lauge Schäffer and Jane C. Spetzler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ku-chuan Hsiao

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ku-chuan Hsiao United States	9	286	79	52	51	40	9	356
Uwe Eberspaecher Germany	8	263 0.9×	24 0.3×	73 1.4×	22 0.4×	11 0.3×	10	483
Neva Ivancic Australia	9	331 1.2×	229 2.9×	25 0.5×	24 0.5×	29 0.7×	9	449
N Flint United Kingdom	9	346 1.2×	35 0.4×	64 1.2×	69 1.4×	13 0.3×	12	495
Charles Faust United States	12	280 1.0×	112 1.4×	51 1.0×	13 0.3×	16 0.4×	24	413
Ida Deichaite United States	10	290 1.0×	21 0.3×	51 1.0×	13 0.3×	18 0.5×	17	395
Cristina Viola United Kingdom	9	337 1.2×	17 0.2×	35 0.7×	33 0.6×	11 0.3×	12	429
Fred A.M. Asselbergs Switzerland	15	492 1.7×	45 0.6×	133 2.6×	10 0.2×	26 0.7×	38	614
I.Y. Sun United States	9	327 1.1×	19 0.2×	52 1.0×	14 0.3×	8 0.2×	10	540
Atsuko Yoshino Japan	11	342 1.2×	100 1.3×	22 0.4×	37 0.7×	10 0.3×	14	494
Veena M. Vasandani United States	9	296 1.0×	32 0.4×	58 1.1×	14 0.3×	15 0.4×	10	389

Countries citing papers authored by Ku-chuan Hsiao

Since Specialization

Citations

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

Fields of papers citing papers by Ku-chuan Hsiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ku-chuan Hsiao. 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 Ku-chuan Hsiao. The network helps show where Ku-chuan Hsiao may publish in the future.

Co-authorship network of co-authors of Ku-chuan Hsiao

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

All Works

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9 of 9 papers shown

Hsiao, Ku-chuan, R E Brissette, Pinger Wang, et al.. (2003). Peptides identify multiple hotspots within the ligand binding domain of the TNF receptor 2.. Proteome Science. 1(1). 1–1. 22 indexed citations

Schäffer, Lauge, R E Brissette, Jane C. Spetzler, et al.. (2003). Assembly of high-affinity insulin receptor agonists and antagonists from peptide building blocks. Proceedings of the National Academy of Sciences. 100(8). 4435–4439. 72 indexed citations

Pillutla, Renuka, Ku-chuan Hsiao, James R. Beasley, et al.. (2002). Peptides Identify the Critical Hotspots Involved in the Biological Activation of the Insulin Receptor. Journal of Biological Chemistry. 277(25). 22590–22594. 74 indexed citations

Pillutla, Renuka, Ku-chuan Hsiao, R E Brissette, et al.. (2001). A surrogate-based approach for post-genomic partner identification. BMC Biotechnology. 1(1). 6–6. 9 indexed citations

Ravera, Mark W., Juan M. Cárcamo, R E Brissette, et al.. (1998). Identification of an allosteric binding site on the transcription factor p53 using a phage-displayed peptide library. Oncogene. 16(15). 1993–1999. 28 indexed citations

Hsiao, Ku-chuan, Jürgen Bajorath, & Linda J. Harris. (1994). Humanization of 60.3, an anti-CD18 antibody; importance of the L2 loop. Protein Engineering Design and Selection. 7(6). 815–822. 11 indexed citations

Hsiao, Ku-chuan, et al.. (1993). Vectors for the expression of PCR-amplified immunoglobulin variable domains with human constant regions. Nucleic Acids Research. 21(12). 2921–2929. 13 indexed citations

Hsiao, Ku-chuan. (1993). Exonuclease III induced ligase-free directional subcloning of PCR products. Nucleic Acids Research. 21(23). 5528–5529. 34 indexed citations

Hsiao, Ku-chuan. (1991). A fast and simple procedure for sequencing double stranded DNA with Sequenase. Nucleic Acids Research. 19(10). 2787–2787. 93 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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