Kan‐Nian Hu

50 total papers · 4.3k total citations
30 papers, 3.5k citations indexed

About

Kan‐Nian Hu is a scholar working on Spectroscopy, Materials Chemistry and Biophysics. According to data from OpenAlex, Kan‐Nian Hu has authored 30 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Spectroscopy, 16 papers in Materials Chemistry and 9 papers in Biophysics. Recurrent topics in Kan‐Nian Hu's work include Advanced NMR Techniques and Applications (20 papers), Solid-state spectroscopy and crystallography (14 papers) and Electron Spin Resonance Studies (9 papers). Kan‐Nian Hu is often cited by papers focused on Advanced NMR Techniques and Applications (20 papers), Solid-state spectroscopy and crystallography (14 papers) and Electron Spin Resonance Studies (9 papers). Kan‐Nian Hu collaborates with scholars based in United States, Switzerland and China. Kan‐Nian Hu's co-authors include Robert G. Griffin, Chan‐Gyu Joo, Timothy M. Swager, Patrick C.A. van der Wel, Changsik Song, Vikram S. Bajaj, Robert Tycko, Hsiao‐hua Yu, Richard J. Temkin and Jagadishwar R. Sirigiri and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Kan‐Nian Hu

30 papers receiving 3.4k citations

Hit Papers

Dynamic nuclear polarizat... 2008 2026 2014 2020 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kan‐Nian Hu 2.7k 2.1k 1.0k 757 566 30 3.5k
Werner Maas 2.5k 0.9× 1.7k 0.8× 601 0.6× 829 1.1× 948 1.7× 75 4.1k
D. J. E. Ingram 1.4k 0.5× 1.5k 0.7× 869 0.9× 832 1.1× 376 0.7× 77 4.6k
Marina Carravetta 2.1k 0.8× 1.7k 0.8× 460 0.5× 1.1k 1.4× 796 1.4× 90 3.4k
Marina Bennati 1.6k 0.6× 2.2k 1.0× 1.8k 1.8× 635 0.8× 381 0.7× 122 4.4k
Kurt W. Zilm 3.0k 1.1× 1.8k 0.9× 322 0.3× 600 0.8× 1.4k 2.4× 77 4.8k
Alexander J. Vega 2.2k 0.8× 1.7k 0.8× 318 0.3× 357 0.5× 933 1.6× 78 3.3k
W. S. Veeman 1.8k 0.7× 1.4k 0.6× 288 0.3× 416 0.5× 933 1.6× 104 3.2k
Takehiko Terao 3.2k 1.2× 2.0k 0.9× 477 0.5× 500 0.7× 1.4k 2.5× 112 4.1k
Ralph T. Weber 1.3k 0.5× 2.0k 1.0× 691 0.7× 420 0.6× 216 0.4× 44 3.3k
Stephen Wimperis 3.1k 1.1× 1.9k 0.9× 439 0.4× 584 0.8× 1.6k 2.7× 121 4.2k

Countries citing papers authored by Kan‐Nian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Kan‐Nian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kan‐Nian Hu. 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 Kan‐Nian Hu. The network helps show where Kan‐Nian Hu may publish in the future.

Co-authorship network of co-authors of Kan‐Nian Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Kan‐Nian Hu. A scholar is included among the top collaborators of Kan‐Nian Hu 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 Kan‐Nian Hu. Kan‐Nian Hu 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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