Tai-he Xia

4.8k total citations · 1 hit paper
6 papers, 1.8k citations indexed

About

Tai-he Xia is a scholar working on Molecular Biology, Materials Chemistry and Biophysics. According to data from OpenAlex, Tai-he Xia has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Biophysics. Recurrent topics in Tai-he Xia's work include Enzyme Structure and Function (4 papers), Electron Spin Resonance Studies (2 papers) and Redox biology and oxidative stress (2 papers). Tai-he Xia is often cited by papers focused on Enzyme Structure and Function (4 papers), Electron Spin Resonance Studies (2 papers) and Redox biology and oxidative stress (2 papers). Tai-he Xia collaborates with scholars based in Sweden, Switzerland and Poland. Tai-he Xia's co-authors include Martin Billeter, Kurt W�thrich, Christian Bartels, P. Sodano, Arne Holmgren, John H. Bushweller, Olof Björnberg, Kurt Wüthrich, Robert X. Xu and Stephen C. Brown and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and Protein Science.

In The Last Decade

Tai-he Xia

6 papers receiving 1.7k 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.

The program XEASY for computer-supported NMR spectral analysis of biological macromolecules

1995 1.5k citations Christian Bartels, Tai-he Xia et al. Journal of Biomolecular NMR profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tai-he Xia Sweden	5	1.5k	319	219	179	134	6	1.8k
Farida S. Sharief United States	18	1.5k 1.0×	203 0.6×	211 1.0×	164 0.9×	123 0.9×	27	2.0k
J.-P. Mornon France	20	1.3k 0.8×	309 1.0×	265 1.2×	135 0.8×	182 1.4×	54	2.1k
Fernando Marchiori Italy	25	1.6k 1.0×	231 0.7×	256 1.2×	194 1.1×	153 1.1×	89	1.9k
E.D. Getzoff United States	22	1.2k 0.8×	271 0.8×	162 0.7×	152 0.8×	120 0.9×	31	2.0k
Y. Muto Japan	26	2.1k 1.4×	204 0.6×	150 0.7×	154 0.9×	178 1.3×	92	2.3k
A. Wittinghofer Germany	18	1.7k 1.1×	474 1.5×	393 1.8×	149 0.8×	215 1.6×	24	1.9k
Eva Žerovnik Slovenia	27	1.6k 1.1×	548 1.7×	279 1.3×	211 1.2×	126 0.9×	98	2.7k
J.F. Cutfield New Zealand	22	1.2k 0.8×	299 0.9×	151 0.7×	121 0.7×	94 0.7×	36	1.8k
Voula Kanelis Canada	20	1.8k 1.2×	265 0.8×	208 0.9×	282 1.6×	175 1.3×	34	2.4k
Peter D. Cary United Kingdom	30	2.2k 1.5×	206 0.6×	157 0.7×	381 2.1×	137 1.0×	74	2.8k

Countries citing papers authored by Tai-he Xia

Since Specialization

Citations

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

Fields of papers citing papers by Tai-he Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-he Xia. 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 Tai-he Xia. The network helps show where Tai-he Xia may publish in the future.

Co-authorship network of co-authors of Tai-he Xia

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

All Works

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6 of 6 papers shown

1.

Xu, Robert X., Tadeusz Pawełczyk, Tai-he Xia, & Stephen C. Brown. (1997). NMR Structure of a Protein Kinase C-γ Phorbol-Binding Domain and Study of Protein−Lipid Micelle Interactions. Biochemistry. 36(35). 10709–10717. 99 indexed citations

2.

Bartels, Christian, et al.. (1995). The program XEASY for computer-supported NMR spectral analysis of biological macromolecules. Journal of Biomolecular NMR. 6(1). 1–10. 1463 indexed citations breakdown →

3.

Bartels, Christian, Tai-he Xia, & Kurt Wüthrich. (1993). The program xeasy for computer-supported NMR spectral analysis in the three-dimensional structure determination of biomacromolecules. Journal of Molecular Graphics. 11(4). 263–263. 2 indexed citations

4.

Xia, Tai-he, John H. Bushweller, P. Sodano, et al.. (1992). NMR structure of oxidized Escherichia coli glutaredoxin: Comparison with reduced E. coli glutaredoxin and functionally related proteins. Protein Science. 1(3). 310–321. 106 indexed citations

5.

Xia, Tai-he. (1992). Software for determination and visual display of NMR structures of proteins: the distance geometry program DGPLAY and the computer graphics programs CONFOR and XAM. ETH Zürich Research Collection. 4 indexed citations

6.

Sodano, P., Tai-he Xia, John H. Bushweller, et al.. (1991). Sequence-specific1H n.m.r. assignments and determination of the three-dimensional structure of reduced escherichia coli glutaredoxin. Journal of Molecular Biology. 221(4). 1311–1324. 81 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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