Hiyun Kim

416 total citations
10 papers, 347 citations indexed

About

Hiyun Kim is a scholar working on Organic Chemistry, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Hiyun Kim has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Hiyun Kim's work include Synthetic Organic Chemistry Methods (3 papers), Asymmetric Synthesis and Catalysis (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Hiyun Kim is often cited by papers focused on Synthetic Organic Chemistry Methods (3 papers), Asymmetric Synthesis and Catalysis (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Hiyun Kim collaborates with scholars based in United States. Hiyun Kim's co-authors include Lawrence J. Williams, Ki‐Bum Lee, Aniruddh Solanki, Michael A. Drahl, Jongjin Jung, Ken‐ichiro Kamei, Hsian‐Rong Tseng, Sean Ekins, Joel S. Freundlich and Jason T. Giurleo and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Hiyun Kim

10 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiyun Kim United States	9	194	88	66	57	54	10	347
Xiao Cong United States	9	416 2.1×	36 0.4×	94 1.4×	32 0.6×	78 1.4×	17	636
Michael P. Agius United States	7	138 0.7×	59 0.7×	32 0.5×	88 1.5×	47 0.9×	14	332
Almudena Perona Spain	14	268 1.4×	187 2.1×	53 0.8×	33 0.6×	39 0.7×	36	484
Anthony J. Quartararo United States	11	461 2.4×	142 1.6×	37 0.6×	37 0.6×	80 1.5×	12	600
Mitchell W. Mutz United States	13	186 1.0×	38 0.4×	43 0.7×	15 0.3×	127 2.4×	15	445
Cheng‐Tsung Lai United States	12	278 1.4×	91 1.0×	69 1.0×	59 1.0×	27 0.5×	20	442
Sofia A. Santos United States	9	130 0.7×	78 0.9×	52 0.8×	16 0.3×	34 0.6×	10	248
V. Talibov Sweden	11	267 1.4×	30 0.3×	57 0.9×	56 1.0×	54 1.0×	18	349
Claire Beauvineau France	12	245 1.3×	78 0.9×	26 0.4×	15 0.3×	28 0.5×	20	397
M. Janecek United Kingdom	7	205 1.1×	101 1.1×	28 0.4×	21 0.4×	33 0.6×	8	353

Countries citing papers authored by Hiyun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hiyun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiyun Kim

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

All Works

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10 of 10 papers shown

1.

Yu, Libing, Huan Wang, Novruz G. Akhmedov, et al.. (2016). Direct Entry to 4,10-Didesmethyl (9S)-Dihydroerythronolide A via Catalytic Allene Osmylation. Organic Letters. 18(12). 2868–2871. 8 indexed citations

2.

Li, Shao-Gang, Catherine Vilchèze, Sumit Chakraborty, et al.. (2015). Evolution of a thienopyrimidine antitubercular relying on medicinal chemistry and metabolomics insights. Tetrahedron Letters. 56(23). 3246–3250. 28 indexed citations

3.

Ekins, Sean, Robert C. Reynolds, Hiyun Kim, et al.. (2013). Bayesian Models Leveraging Bioactivity and Cytotoxicity Information for Drug Discovery. Chemistry & Biology. 20(3). 370–378. 81 indexed citations

4.

Liu, Kai, Hiyun Kim, Partha Ghosh, Novruz G. Akhmedov, & Lawrence J. Williams. (2011). Direct Entry to Erythronolides via a Cyclic Bis[Allene]. Journal of the American Chemical Society. 133(38). 14968–14971. 17 indexed citations

5.

Manpadi, Madhuri, et al.. (2011). Spirodiepoxide-Based Cascades: Direct Access to Diverse Motifs. Organic Letters. 13(13). 3352–3355. 9 indexed citations

6.

Jung, Jongjin, Aniruddh Solanki, Ken‐ichiro Kamei, et al.. (2009). Selective Inhibition of Human Brain Tumor Cells through Multifunctional Quantum‐Dot‐Based siRNA Delivery. Angewandte Chemie International Edition. 49(1). 103–107. 131 indexed citations

7.

Kim, Hiyun & Lawrence J. Williams. (2009). ChemInform Abstract: Recent Developments in Allene‐Based Synthetic Methods. ChemInform. 40(11). 2 indexed citations

8.

Jung, Jongjin, Aniruddh Solanki, Ken‐ichiro Kamei, et al.. (2009). Selective Inhibition of Human Brain Tumor Cells through Multifunctional Quantum‐Dot‐Based siRNA Delivery. Angewandte Chemie. 122(1). 107–111. 16 indexed citations

9.

Kim, Hiyun & Lawrence J. Williams. (2008). Recent developments in allene-based synthetic methods.. PubMed. 11(6). 870–94. 20 indexed citations

10.

Kim, Hiyun, et al.. (2006). Hidden Markov Model Analysis of Multichromophore Photobleaching. The Journal of Physical Chemistry B. 110(33). 16366–16376. 35 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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