Minseok Cha

27 papers receiving 652 citations

Peers

Minseok Cha
Comparison fields: 5 of 53
  • Biotechnology 189
  • Biomedical Engineering 437
  • Building and Construction 101
  • Energy Engineering and Power Technology 19
  • Molecular Biology 412
Replace Alei Geng with:
Alei Geng China
Manimaran Ayyachamy South Africa
Zsolt Szengyel Hungary
Gobinath Rajagopalan India
Juha‐Pekka Pitkänen Finland
Víctor E. Balderas‐Hernández Mexico
Vanessa O.A. Pellegrini Brazil
Sara E. Blumer‐Schuette United States
Elena Efimova Finland
Minseok Cha relative to Alei Geng China Alei Geng's profile →
Citations per field
00.5×3.1×
Alei Geng · 1×
Citations per year

Countries citing papers authored by Minseok Cha

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014160
2 2013103
3 201359
4 201254
5 201546
6 201739
7 201030
8 201529
9 201521
10 201321
11 201218
12 202116
13 201313
14 20228
15 20127
16 20217
17 20235
18 20244
19 20254
20 19934

About Minseok Cha

Minseok Cha is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Food Science and Building and Construction, having authored 30 papers that have together received 664 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (12 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Anaerobic Digestion and Biogas Production (5 papers), Potato Plant Research (4 papers), Algal biology and biofuel production (4 papers), Phytoestrogen effects and research (4 papers), Microbial Fuel Cells and Bioremediation (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Biotechnology (189 citations), Biomedical Engineering (437 citations), Building and Construction (101 citations), Energy Engineering and Power Technology (19 citations) and Molecular Biology (412 citations). Minseok Cha has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Janet Westpheling, Daehwan Chung, Adam M. Guss, James G. Elkins, Joel Farkas, Glenn H. Chambliss, Jennifer L. Copeland, In‐Geol Choi, In Seop Chang and Hyun-Soo Kang. Their work appears in journals such as Biotechnology for Biofuels, Journal of Agricultural and Food Chemistry, Journal of Industrial Microbiology & Biotechnology, Biotechnology Journal and Bioresource Technology.

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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