K. Hun Mok

3.3k total citations
53 papers, 1.6k citations indexed

About

K. Hun Mok is a scholar working on Molecular Biology, Nutrition and Dietetics and Materials Chemistry. According to data from OpenAlex, K. Hun Mok has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Nutrition and Dietetics and 9 papers in Materials Chemistry. Recurrent topics in K. Hun Mok's work include Protein Structure and Dynamics (12 papers), Infant Nutrition and Health (10 papers) and Enzyme Structure and Function (9 papers). K. Hun Mok is often cited by papers focused on Protein Structure and Dynamics (12 papers), Infant Nutrition and Health (10 papers) and Enzyme Structure and Function (9 papers). K. Hun Mok collaborates with scholars based in Ireland, United Kingdom and Sweden. K. Hun Mok's co-authors include P. J. Hore, Catharina Svanborg, Iain J. Day, Kyou‐Hoon Han, Ranjith Muhandiram, Jun Chang, Kwan Yong Choi, Young Chul Sung, Do‐Hyung Kim and Martin Goez and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

K. Hun Mok

52 papers receiving 1.6k citations

Peers

K. Hun Mok
Comparison fields: 5 of 120
  • Molecular Biology 940
  • Materials Chemistry 313
  • Nutrition and Dietetics 234
  • Spectroscopy 202
  • Oncology 172
Replace Andrea Bernini with:
Andrea Bernini Italy
Srikanth Rapole India
Chaitali Mukhopadhyay India
Marcello Zambonin Italy
Michael Zeppezauer Germany
Marcel Joniau Belgium
J.F. Cutfield New Zealand
Ervin Welker Hungary
Olga Gursky United States
Barbara A. Seaton United States
Andrea Bernini Italy View profile →
Citations per field, relative to K. Hun Mok
K. Hun Mok · 1×
Citations per year, relative to K. Hun Mok
K. Hun Mok · 1×

Countries citing papers authored by K. Hun Mok

Since Specialization
Citations

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

Fields of papers citing papers by K. Hun Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Hun Mok. 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 K. Hun Mok. The network helps show where K. Hun Mok may publish in the future.

Co-authorship network of co-authors of K. Hun Mok

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 2
4 14
5 11
6 22
7 5
8 11
9 26
10
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
1
11 66
12 55
13 61
14 35
15 33
16 132
17 17
18 78
19 273
20 102

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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