In-Ja Song

647 citations
39 papers · 498 indexed · h-index 11
Topics
Plant tissue culture and regeneration (11 papers)Turfgrass Adaptation and Management (8 papers)Genetically Modified Organisms Research (5 papers)

In The Last Decade

In-Ja Song

35 papers receiving 479 citations

Peers

In-Ja Song
Comparison fields: 5 of 73
  • Plant Science 330
  • Molecular Biology 286
  • Ecology, Evolution, Behavior and Systematics 62
  • Environmental Chemistry 44
  • Biotechnology 31
Replace Marcelo Antonio Sagardoy with:
Marcelo Antonio Sagardoy Argentina
Yuwen Hong Canada
Nawfal Alhelfi Iraq
Fengcheng Wang China
Advina Lizah Julkifle Malaysia
Rakesh Yadav India
Jong-Pyo Kang South Korea
Xiaoke Zhang China
Shuai Gao China
María Inés Rodriguez Argentina
In-Ja Song relative to Marcelo Antonio Sagardoy Argentina Marcelo Antonio Sagardoy's profile →
Citations per field
00.5×6.2×
Marcelo Antonio Sagardoy · 1×
Citations per year

Countries citing papers authored by In-Ja Song

Since Specialization
Citations

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

Fields of papers citing papers by In-Ja Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Ja Song. 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-Ja Song. The network helps show where In-Ja Song may publish in the future.

Co-authorship network of co-authors of In-Ja Song

This figure shows the co-authorship network connecting the top 25 collaborators of In-Ja Song. A scholar is included among the top collaborators of In-Ja Song 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 In-Ja Song. In-Ja Song 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
#WorkIndexed citations
1 1
2 4
3 4
4 2
5 0
6 1
7
Change in Center of Pressure According to Gait Improvement of Post-Stroke Hemiplegic Patients: Pilot Study
2
8 6
9
Correlation between Post-Stroke Depression and Cold, Heat, Deficiency and Excess Patterns
1
10 13
11 14
12 26
13 17
14 25
15 30
16
A simple and reproducible regeneration protocol for Zoysia japonica based on callus cultures.
2
17 150
18
Herbicide-resistant Transgenic Mongolian Bentgrass (Agrostis mongolica Roshev.) obtained by Agrobacterium-mediated Transformation
1
19 39
20
Dietary and Health-Related Lifestyle Habits and Blood Parameters of Non-Insulin Dependent Diabetes Patients
1

About In-Ja Song

In-Ja Song is a scholar working on Environmental Chemistry, Leadership and Management and Plant Science, having authored 39 papers that have together received 498 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (11 papers), Turfgrass Adaptation and Management (8 papers) and Genetically Modified Organisms Research (5 papers). The work is most often cited by research in Plant Science (330 citations), Electrochemistry (30 citations) and Environmental Chemistry (44 citations). In-Ja Song has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyo‐Yeon Lee, Pyung Ok Lim, Hong Gil Nam, Jin Hee Kim, Jeongsik Kim, Jin‐Hong Kim, Hye Ryun Woo, Ung Lee, Jun-Young Kim and Su‐Moon Park. Their work appears in journals such as Analytical Chemistry, Journal of Experimental Botany and Planta.

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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