Minseok Cha

996 citations
30 papers · 690 · h-index 13

Impact in

Papers in

Minseok Cha

28 papers receiving 679 citations

Peers

Minseok Cha
Comparison fields: 5 of 54
  • Biotechnology 167
  • Biomedical Engineering 425
  • Building and Construction 100
  • Energy Engineering and Power Technology 19
  • Molecular Biology 362
Replace Gobinath Rajagopalan with:
Gobinath Rajagopalan India
Zsolt Szengyel Hungary
Laura Dipasquale Italy
Juha‐Pekka Pitkänen Finland
Víctor E. Balderas‐Hernández Mexico
Nag‐Jong Kim South Korea
S. Jayalakshmi India
Derrick Lewis United States
Mohit Bibra United States
Minseok Cha relative to Gobinath Rajagopalan India Gobinath Rajagopalan's profile →
Citations per field
00.5×3.0×
Gobinath Rajagopalan · 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 2014163
2 2013104
3 201360
4 201256
5 201547
6 201739
7 201030
8 201529
9 201521
10 201321
11 201218
12 202118
13 201313
14 202210
15 20258
16 20258
17 20217
18 20127
19 20245
20 20235

About Minseok Cha

Minseok Cha is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Food Science and Renewable Energy, Sustainability and the Environment, having authored 30 papers that have together received 690 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Algal biology and biofuel production (4 papers), Anaerobic Digestion and Biogas Production (4 papers), Phytoestrogen effects and research (4 papers), Potato Plant 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 (167 citations), Biomedical Engineering (425 citations), Building and Construction (100 citations), Energy Engineering and Power Technology (19 citations) and Molecular Biology (362 citations). Minseok Cha has collaborated with scholars based in South Korea, United States and Japan. 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, Biotechnology Journal, Applied Microbiology and Biotechnology, Journal of Agricultural and Food Chemistry 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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