Kai‐Chih Huang

40 total papers · 1.2k total citations
21 papers, 687 citations indexed

About

Kai‐Chih Huang is a scholar working on Biophysics, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Kai‐Chih Huang has authored 21 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biophysics, 8 papers in Biomedical Engineering and 5 papers in Analytical Chemistry. Recurrent topics in Kai‐Chih Huang's work include Spectroscopy Techniques in Biomedical and Chemical Research (13 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). Kai‐Chih Huang is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (13 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). Kai‐Chih Huang collaborates with scholars based in United States, China and Taiwan. Kai‐Chih Huang's co-authors include Ji‐Xin Cheng, Junjie Li, Yuying Tan, Daniela Matei, Guangyuan Zhao, Horacio Cárdenas, Yinu Wang, Chien‐Sheng Liao, Gregory Eakins and Chi Zhang and has published in prestigious journals such as Nature Communications, Nano Letters and Scientific Reports.

In The Last Decade

Kai‐Chih Huang

21 papers receiving 669 citations

Hit Papers

Metabolic reprogramming f... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai‐Chih Huang 364 234 222 186 107 21 687
Satish Rao 133 0.4× 163 0.7× 180 0.8× 52 0.3× 57 0.5× 21 559
Benjamin R. Smith 282 0.8× 309 1.3× 96 0.4× 183 1.0× 37 0.3× 19 680
Seunghyun Oh 133 0.4× 341 1.5× 223 1.0× 50 0.3× 82 0.8× 29 675
Ștefania D. Iancu 229 0.6× 215 0.9× 248 1.1× 72 0.4× 29 0.3× 32 622
Clara Stiebing 415 1.1× 207 0.9× 175 0.8× 251 1.3× 7 0.1× 17 626
Andrea Molckovsky 355 1.0× 259 1.1× 177 0.8× 274 1.5× 91 0.9× 16 793
Rachel Kast 478 1.3× 201 0.9× 180 0.8× 299 1.6× 13 0.1× 21 685
Eduardo García‐Rico 197 0.5× 395 1.7× 410 1.8× 32 0.2× 23 0.2× 27 766
Kyung Oh Jung 66 0.2× 431 1.8× 272 1.2× 28 0.2× 235 2.2× 32 714
William J. Tipping 480 1.3× 309 1.3× 158 0.7× 241 1.3× 4 0.0× 33 740

Countries citing papers authored by Kai‐Chih Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Chih Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Chih Huang. 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 Kai‐Chih Huang. The network helps show where Kai‐Chih Huang may publish in the future.

Co-authorship network of co-authors of Kai‐Chih Huang

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

All Works

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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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