Chae‐In Na

850 total citations
25 papers, 595 citations indexed

About

Chae‐In Na is a scholar working on Plant Science, Agronomy and Crop Science and Biomedical Engineering. According to data from OpenAlex, Chae‐In Na has authored 25 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 11 papers in Agronomy and Crop Science and 5 papers in Biomedical Engineering. Recurrent topics in Chae‐In Na's work include Bioenergy crop production and management (8 papers), Biofuel production and bioconversion (5 papers) and Plant-Microbe Interactions and Immunity (4 papers). Chae‐In Na is often cited by papers focused on Bioenergy crop production and management (8 papers), Biofuel production and bioconversion (5 papers) and Plant-Microbe Interactions and Immunity (4 papers). Chae‐In Na collaborates with scholars based in South Korea, United States and Pakistan. Chae‐In Na's co-authors include In‐Jung Lee, Muhammad Hamayun, Yoon-Ha Kim, Dong‐Hyun Shin, Sang‐Mo Kang, Gil-Jae Joo, Lynn E. Sollenberger, Abdul Latif Khan, John E. Erickson and Jinkyu Hong and has published in prestigious journals such as Plant and Soil, Frontiers in Plant Science and Biomass and Bioenergy.

In The Last Decade

Chae‐In Na

24 papers receiving 571 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chae‐In Na South Korea 13 457 111 100 77 73 25 595
Lokanadha Rao Gunupuru Canada 13 512 1.1× 31 0.3× 98 1.0× 67 0.9× 77 1.1× 30 652
Fahad Alotaibi Saudi Arabia 8 368 0.8× 29 0.3× 50 0.5× 31 0.4× 125 1.7× 22 566
Sonia Labidi Tunisia 13 236 0.5× 58 0.5× 21 0.2× 23 0.3× 20 0.3× 24 344
Levini A. Msimbira Canada 10 489 1.1× 51 0.5× 38 0.4× 30 0.4× 108 1.5× 14 658
Utpal Dey India 13 440 1.0× 61 0.5× 101 1.0× 18 0.2× 70 1.0× 61 595
Shiva Makaju United States 8 360 0.8× 112 1.0× 13 0.1× 54 0.7× 89 1.2× 15 523
Inés E. García de Salamone Argentina 10 904 2.0× 71 0.6× 38 0.4× 31 0.4× 163 2.2× 19 984
Dalia Rav‐David Israel 10 688 1.5× 29 0.3× 214 2.1× 25 0.3× 121 1.7× 22 817
Lawrence Behers Sweden 6 820 1.8× 52 0.5× 58 0.6× 52 0.7× 217 3.0× 8 969
Olmar Baller Weber Brazil 12 512 1.1× 48 0.4× 57 0.6× 53 0.7× 226 3.1× 43 698

Countries citing papers authored by Chae‐In Na

Since Specialization
Citations

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

Fields of papers citing papers by Chae‐In Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chae‐In Na

This figure shows the co-authorship network connecting the top 25 collaborators of Chae‐In Na. A scholar is included among the top collaborators of Chae‐In Na 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 Chae‐In Na. Chae‐In Na 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
1.
Lee, Sora, Su Hyun Park, Yu Jeong Jeong, et al.. (2024). Optimization of CRISPR/Cas9 ribonucleoprotein delivery into cabbage protoplasts for efficient DNA-free gene editing. Plant Biotechnology Reports. 18(3). 415–424. 4 indexed citations
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Park, Won‐Sang, et al.. (2022). Additional N application and ecotype affect yield and quality of ratoon harvested sorghum x sudangrass hybrid for temperate regions. Biomass and Bioenergy. 160. 106423–106423. 4 indexed citations
5.
Park, Chanwoo, et al.. (2020). Monitoring the Hydrologic Water Quality Characteristics of Discharge from a Flat Upland Field. Journal of The Korean Society of Agricultural Engineers. 62(3). 109–121. 1 indexed citations
6.
Chung, Yong Suk, et al.. (2020). Image-Based Machine Learning Characterizes Root Nodule in Soybean Exposed to Silicon. Frontiers in Plant Science. 11. 520161–520161. 20 indexed citations
7.
Tripathi, Pooja, Chae‐In Na, & Yoon-Ha Kim. (2020). Effect of silicon fertilizer treatment on nodule formation and yield in soybean (Glycine max L.). European Journal of Agronomy. 122. 126172–126172. 33 indexed citations
8.
Park, Yeon-Gyeong, et al.. (2019). Identification of Optimal Concentration of Silicon Application and Its Roles in Uptake of Essential Nutrients in Soybean (Glycine max L.). Journal of Crop Science and Biotechnology. 22(1). 1–10. 12 indexed citations
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Na, Chae‐In, Diane Rowland, David L. Wright, et al.. (2018). Rotating peanut into established bahiagrass pastures: identifying sustainable tillage operations. Journal of Crop Improvement. 32(3). 353–372. 1 indexed citations
11.
Na, Chae‐In, et al.. (2016). Harvest management affects biomass composition responses of C4 perennial bioenergy grasses in the humid subtropical USA. GCB Bioenergy. 8(6). 1150–1161. 14 indexed citations
12.
Vincent, Christopher, Diane Rowland, Chae‐In Na, & Bruce Schaffer. (2016). A high-throughput method to quantify root hair area in digital images taken in situ. Plant and Soil. 412(1-2). 61–80. 26 indexed citations
13.
Na, Chae‐In, Lynn E. Sollenberger, John E. Erickson, et al.. (2014). Management of Perennial Warm-Season Bioenergy Grasses. I. Biomass Harvested, Nutrient Removal, and Persistence Responses of Elephantgrass and Energycane to Harvest Frequency and Timing. BioEnergy Research. 8(2). 581–589. 36 indexed citations
14.
Sollenberger, Lynn E., Kenneth R. Woodard, João Vendramini, et al.. (2014). Invasive Populations of Elephantgrass Differ in Morphological and Growth Characteristics from Clones Selected for Biomass Production. BioEnergy Research. 7(4). 1382–1391. 12 indexed citations
15.
Castillo, Miguel S., Lynn E. Sollenberger, Ann R. Blount, et al.. (2014). Seedbed Preparation Techniques and Weed Control Strategies for Strip‐Planting Rhizoma Peanut into Warm‐Season Grass Pastures. Crop Science. 54(4). 1868–1875. 20 indexed citations
16.
Na, Chae‐In, Muhammad Hamayun, Abdul Latif Khan, et al.. (2011). Influence of prohexadione-calcium, trinexapac-ethyl and hexaconazole on lodging characteristic and gibberellin biosynthesis of rice (Oryza sativa L.). AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(61). 13097–13106. 11 indexed citations
17.
Hamayun, Muhammad, Sumera Afzal Khan, Chae‐In Na, et al.. (2009). Chrysosporium pseudomerdarium produces gibberellins and promotes plant growth. The Journal of Microbiology. 47(4). 425–430. 34 indexed citations
18.
Joo, Gil-Jae, Sang‐Mo Kang, Muhammad Hamayun, et al.. (2009). Burkholderia sp. KCTC 11096BP as a newly isolated gibberellin producing bacterium. The Journal of Microbiology. 47(2). 167–171. 31 indexed citations
19.
Hamayun, Muhammad, Sumera Afzal Khan, Dongsheng Tang, et al.. (2009). Cladosporium sphaerospermum as a new plant growth-promoting endophyte from the roots of Glycine max (L.) Merr.. World Journal of Microbiology and Biotechnology. 25(4). 627–632. 115 indexed citations
20.
Kang, Sang‐Mo, Gil-Jae Joo, Muhammad Hamayun, et al.. (2008). Gibberellin production and phosphate solubilization by newly isolated strain of Acinetobacter calcoaceticus and its effect on plant growth. Biotechnology Letters. 31(2). 277–281. 119 indexed citations

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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