Thomas Küster

1.2k citations
37 papers · 1.0k indexed · h-index 20

Thomas Küster

35 papers receiving 966 citations

Peers

Thomas Küster
Comparison fields: 5 of 116
  • Clinical Biochemistry 141
  • Biomaterials 239
  • Biochemistry 50
  • Genetics 71
  • Hematology 62
Replace Hiroshi Terayama with:
Hiroshi Terayama Japan
Walter Godchaux United States
G.A. Partington United Kingdom
Qiong Wu China
Donald F. Gerson Canada
Yasushi Kawasaki Japan
Sebastian Bäumer Germany
Young‐Ho Chung South Korea
Benjamin C. Stark United States
Jiaqi Zhou China
Thomas Küster relative to Hiroshi Terayama Japan Hiroshi Terayama's profile →
Citations per field
00.5×5.4×
Hiroshi Terayama · 1×
Citations per year

Countries citing papers authored by Thomas Küster

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Küster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Küster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Küster Line = papers co-authored together Thomas Küster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012235
2 200632
3 200332
4 200054
5 199920
6 199645
7 199513
8 199530
9 199413
10 19943
11
Mechanical Interlocking of Adhesive Bonds to CCA-Treated Southern Pine—A Scanning Electron Microscopic Study
199232
12 199229
13 199122
14 19905
15 199027
16
Sem X-Ray Microanalysis of Tracheid Cell Walls in Southern Yellow Pine Sapwood Treated with Water-Dispersible Pentachlorophenol
19865
17 19848
18 19842
19 197730
20 197523

About Thomas Küster

Thomas Küster is a scholar working on Clinical Biochemistry, Spectroscopy, Microbiology, Biochemistry and Cell Biology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (9 papers), Metabolism and Genetic Disorders (8 papers), Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), S100 Proteins and Annexins (3 papers), Glycosylation and Glycoproteins Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Clinical Biochemistry (141 citations), Biomaterials (239 citations), Biochemistry (50 citations), Genetics (71 citations) and Hematology (62 citations). Thomas Küster has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Claus W. Heizmann, Heinz Troxler, Rolland Gleisner, J. Y. Zhu, Qianqian Wang, Scott E. McNeil, Ulrich Baxa, P. Kleinert, Charles B. Vick and Terry L. Highley. Their work appears in journals such as European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Wood and Fiber Science, Clinical Chemistry and Journal of Agricultural and Food Chemistry.

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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