In‐Tae Cha

1.1k citations
75 papers · 826 · h-index 16

Impact in

Papers in

    • Genomics and Phylogenetic Studies 51
    • Identification and Quantification in Food 7
    • Microbial Community Ecology and Physiology 50
    • Bacteriophages and microbial interactions 8

In‐Tae Cha

70 papers receiving 816 citations

Peers

In‐Tae Cha
Comparison fields: 5 of 84
  • Ecology 396
  • Environmental Chemistry 116
  • Pollution 118
  • Biotechnology 67
  • Food Science 139
Replace Kapil Deo Pandey with:
Kapil Deo Pandey India
Wei Tian China
Juan Sun China
Elisabete Barbarino Brazil
Shlomit Medina Israel
Hanbyul Lee South Korea
Peng Xiang China
Sadaf Kalam India
Rosalia Trias Spain
Chunquan Zhu China
In‐Tae Cha relative to Kapil Deo Pandey India Kapil Deo Pandey's profile →
Citations per field
00.5×1.5×2.4×
Kapil Deo Pandey · 1×
Citations per year

Countries citing papers authored by In‐Tae Cha

Since Specialization
Citations

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

Fields of papers citing papers by In‐Tae Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201391
2 201771
3 201351
4 201240
5 201835
6 200933
7 201231
8 201330
9 201230
10 201926
11 201423
12 201420
13 201318
14 201618
15 201118
16 201317
17 202314
18 201313
19 202012
20 202111

About In‐Tae Cha

In‐Tae Cha is a scholar working on Molecular Biology, Ecology, Environmental Chemistry, Food Science and Biotechnology, having authored 75 papers that have together received 826 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (51 papers), Microbial Community Ecology and Physiology (50 papers), Methane Hydrates and Related Phenomena (8 papers), Bacteriophages and microbial interactions (8 papers), Aquaculture disease management and microbiota (8 papers), Probiotics and Fermented Foods (7 papers), Identification and Quantification in Food (7 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Ecology (396 citations), Environmental Chemistry (116 citations), Pollution (118 citations), Biotechnology (67 citations) and Food Science (139 citations). In‐Tae Cha has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Myung‐Ji Seo, Seong Woon Roh, Sung‐Keun Rhee, So‐Jeong Kim, Soo-Je Park, Young‐Do Nam, Jong‐Geol Kim, Man‐Young Jung, Kyung June Yim and Ki‐Eun Lee. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, Current Microbiology, Archives of Microbiology and The Journal of Microbiology.

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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