Hae‐Sun Chung

1.0k citations
77 papers · 798 indexed · h-index 16
Topics
Antibiotic Resistance in Bacteria (19 papers)Bacterial Identification and Susceptibility Testing (18 papers)Mycobacterium research and diagnosis (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Hae‐Sun Chung

73 papers receiving 787 citations

Peers

Hae‐Sun Chung
Comparison fields: 5 of 92
  • Molecular Medicine 237
  • Endocrinology 230
  • Infectious Diseases 227
  • Molecular Biology 216
  • Epidemiology 178
Replace Assia Ben Hassen with:
Assia Ben Hassen Tunisia
Koloman Krištof Hungary
Tetsuji Aoyagi Japan
Kyu Man Lee South Korea
Fabrizio Taglietti Italy
Charléric Bornet France
Nils Olav Hermansen Norway
Pranoti Sahasrabhojane United States
Norihisa Yamamoto Japan
Nam Hee Ryoo South Korea
Hae‐Sun Chung relative to Assia Ben Hassen Tunisia Assia Ben Hassen's profile →
Citations per field
00.5×1.5×2.4×
Assia Ben Hassen · 1×
Citations per year

Countries citing papers authored by Hae‐Sun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hae‐Sun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Sun Chung. 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 Hae‐Sun Chung. The network helps show where Hae‐Sun Chung may publish in the future.

Co-authorship network of co-authors of Hae‐Sun Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Hae‐Sun Chung. A scholar is included among the top collaborators of Hae‐Sun Chung 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 Hae‐Sun Chung. Hae‐Sun Chung 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
#WorkIndexed citations
1 4
2 1
3 3
4 3
5 1
6 3
7 11
8 1
9 5
10 15
11 16
12 19
13 1
14 10
15 35
16 2
17 5
18 3
19 10
20 41

About Hae‐Sun Chung

Hae‐Sun Chung is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 77 papers that have together received 798 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Bacterial Identification and Susceptibility Testing (18 papers) and Mycobacterium research and diagnosis (8 papers). The work is most often cited by research in Molecular Medicine (237 citations), Endocrinology (230 citations) and Clinical Biochemistry (147 citations). Hae‐Sun Chung has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Miae Lee, Kyungwon Lee, Dongeun Yong, Yunsop Chong, Yunsop Chong, Yangsoon Lee, Seok Hoon Jeong, Yeong Seon Lee, Jae Il Yoo and Sun Hee Park. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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