In‐Tae Cha

1.1k citations
75 papers · 850 · 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

72 papers receiving 840 citations

Peers

In‐Tae Cha
Comparison fields: 5 of 82
  • Ecology 394
  • Environmental Chemistry 112
  • Pollution 119
  • Biotechnology 68
  • Food Science 136
Replace Kapil Deo Pandey with:
Kapil Deo Pandey India
Juan Sun China
Shlomit Medina Israel
Peng Xiang China
Hanbyul Lee South Korea
Sadaf Kalam India
Byung‐Dae Yoon South Korea
Chunquan Zhu China
Chellandi Mohandass India
Madhumita Roy India
In‐Tae Cha relative to Kapil Deo Pandey India Kapil Deo Pandey's profile →
Citations per field
00.5×1.5×2.5×
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 201393
2 201772
3 201351
4 201241
5 201835
6 200933
7 201231
8 201230
9 201330
10 201927
11 201423
12 201420
13 201619
14 201118
15 201318
16 201317
17 202315
18 201314
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 850 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), Identification and Quantification in Food (7 papers), Probiotics and Fermented Foods (7 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Ecology (394 citations), Environmental Chemistry (112 citations), Pollution (119 citations), Biotechnology (68 citations) and Food Science (136 citations). In‐Tae Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Myung‐Ji Seo, Sung‐Keun Rhee, Seong Woon Roh, Soo-Je Park, So‐Jeong Kim, Young‐Do Nam, Ki‐Eun Lee, Kyung June Yim, Jong‐Geol Kim and Man‐Young Jung. 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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