Jae Gu Pan

767 citations
22 papers · 633 indexed · h-index 15
Topics
Microbial Metabolic Engineering and Bioproduction (9 papers)Bacterial Genetics and Biotechnology (5 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)

In The Last Decade

Jae Gu Pan

22 papers receiving 607 citations

Peers

Jae Gu Pan
Comparison fields: 5 of 70
  • Molecular Biology 501
  • Biomedical Engineering 157
  • Genetics 99
  • Biotechnology 86
  • Organic Chemistry 44
Replace Gerhard Steinborn with:
Gerhard Steinborn Germany
Kazuhiko Tabata Japan
R. Greasham United States
Axel Niebisch Germany
J E Fein Canada
Meike Baumgart Germany
Dongbo Cai China
Makoto Hidaka Japan
J F Gill United States
Pingfang Tian China
Jae Gu Pan relative to Gerhard Steinborn Germany Gerhard Steinborn's profile →
Citations per field
00.5×7.3×
Gerhard Steinborn · 1×
Citations per year

Countries citing papers authored by Jae Gu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jae Gu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Gu Pan. 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 Jae Gu Pan. The network helps show where Jae Gu Pan may publish in the future.

Co-authorship network of co-authors of Jae Gu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Gu Pan. A scholar is included among the top collaborators of Jae Gu Pan 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 Jae Gu Pan. Jae Gu Pan 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 12
2 16
3 28
4 38
5 20
6 19
7 24
8 86
9
Identification and partial characterization of cerein BS229, a bacteriocin produced by Bacillus cereus BS229
11
10 85
11 27
12
Characterization of 1,925 Bacillus thuringiensis isolates from plants in Korea
3
13 3
14 16
15 8
16 91
17 14
18 22
19 69
20 2

About Jae Gu Pan

Jae Gu Pan is a scholar working on Biotechnology, Physical and Theoretical Chemistry and Biochemistry, having authored 22 papers that have together received 633 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bacterial Genetics and Biotechnology (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Biotechnology (86 citations), Molecular Biology (501 citations) and Biochemistry (38 citations). Jae Gu Pan has collaborated with scholars based in South Korea, France and Venezuela. Frequent co-authors include Joon Shick Rhee, J. M. Lebeault, Jung Hoon Ahn, Bingjun Yu, Seong Tae Jeong, Taek Ho Yang, Hyung Kwoun Kim, Tae Kwang Oh, Hyun Woo Lee and Nereida Coello. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.

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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