Jin Hwan

603 citations
26 papers · 436 indexed · h-index 10
Topics
Parkinson's Disease Mechanisms and Treatments (9 papers)Endoplasmic Reticulum Stress and Disease (4 papers)Bioinformatics and Genomic Networks (3 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Microbiology and BiotechnologyBMC Genomics
Partner nations
South KoreaJapanThailand

In The Last Decade

Jin Hwan

26 papers receiving 424 citations

Peers

Jin Hwan
Comparison fields: 5 of 91
  • Molecular Biology 308
  • Cancer Research 88
  • Plant Science 39
  • Neurology 38
  • Oncology 33
Replace Minghong Ward with:
Minghong Ward United States
Stephanie L. Chissoe United States
Zhiwei Sun China
Tsung‐Sheng Su Taiwan
Xiarong Shi United States
Sainitin Donakonda Germany
Arne Soete Belgium
Amanda S. Wilkinson United States
Anney Che United States
Anna Meyfour Iran
Jin Hwan relative to Minghong Ward United States Minghong Ward's profile →
Citations per field
00.5×3.2×
Minghong Ward · 1×
Citations per year

Countries citing papers authored by Jin Hwan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Hwan

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Hwan. A scholar is included among the top collaborators of Jin Hwan 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 Jin Hwan. Jin Hwan 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 2
2 1
3 1
4 1
5 5
6 11
7 3
8 9
9 7
10 96
11 19
12 2
13 16
14 33
15 3
16 6
17 87
18 15
19 6
20
Inference of Aspergillus fumigatus pathways by computational genome analysis: Tricarboxylic acid cycle (TCA) and glyoxylate shunt
6

About Jin Hwan

Jin Hwan is a scholar working on Neurology, Cell Biology and Molecular Biology, having authored 26 papers that have together received 436 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (88 citations), Molecular Biology (308 citations) and Neurology (38 citations). Jin Hwan has collaborated with scholars based in South Korea, Japan and Thailand. Frequent co-authors include Dong‐Kug Choi, Su Mi Bae, Woong Shick Ahn, Yun‐Sook Kim, Satoru Miyano, Rui Yamaguchi, In Su Kim, Tae-Kyu Park, Eun‐Jung Cho and Ahwon Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and BMC Genomics.

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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