Hee‐Jin Kwak

33 papers receiving 1.0k citations

Peers

Hee‐Jin Kwak
Comparison fields: 5 of 103
  • Cancer Research 245
  • Toxicology 33
  • Genetics 79
  • Cell Biology 119
  • Molecular Biology 495
Replace Shing Leng Chan with:
Shing Leng Chan Singapore
Fernando Benavides United States
Horacio Martinetto Argentina
Annett Hahn-Windgassen United States
Masahito Hanada Japan
Catherine K.L. Too Canada
Virna D. Leaner South Africa
Maria Marone Italy
Yeu Su Taiwan
Hee‐Jin Kwak relative to Shing Leng Chan Singapore Shing Leng Chan's profile →
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Citations per year

Countries citing papers authored by Hee‐Jin Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Jin Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Jin Kwak. 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 Hee‐Jin Kwak. The network helps show where Hee‐Jin Kwak may publish in the future.

Co-authors

The 25 scholars most cited alongside Hee‐Jin Kwak, 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 Hee‐Jin Kwak Line = papers co-authored together Hee‐Jin Kwak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006230
2 2012132
3 2008111
4 200596
5 200692
6 200784
7 200645
8 200844
9 200537
10 200824
11
Physiological Activity and Antioxidative Effect of Garlic(Allium sativum L.) Extract
200220
12 200816
13 201314
14 201612
15 200510
16 20219
17 20199
18 20089
19
Genotoxicological and Acute Toxicological Safeties of Gamma Irradiated Beef
19987
20 20176

About Hee‐Jin Kwak

Hee‐Jin Kwak is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Paleontology and Cell Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Leech Biology and Applications (6 papers), Marine Invertebrate Physiology and Ecology (4 papers), Invertebrate Immune Response Mechanisms (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cephalopods and Marine Biology (3 papers), DNA Repair Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Cancer Research (245 citations), Toxicology (33 citations), Genetics (79 citations), Cell Biology (119 citations) and Molecular Biology (495 citations). Hee‐Jin Kwak has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Seung‐Hoon Lee, Seok‐Il Hong, Chang Hun Rhee, In‐Chul Park, Myung‐Jin Park, Hyung‐Chahn Lee, Jong Bae Park, Doo‐Hyun Yoo, Sangik Moon and Heon Yoo. Their work appears in journals such as Development Genes and Evolution, Animal Cells and Systems, Molecular Cancer Research, Biochemical and Biophysical Research Communications and Journal of Invertebrate Pathology.

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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