Chang-Kil Kim

99 total papers · 721 total citations
53 papers, 454 citations indexed

About

Chang-Kil Kim is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chang-Kil Kim has authored 53 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 20 papers in Molecular Biology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chang-Kil Kim's work include Plant tissue culture and regeneration (12 papers), Ecology and Conservation Studies (8 papers) and Agriculture, Soil, Plant Science (8 papers). Chang-Kil Kim is often cited by papers focused on Plant tissue culture and regeneration (12 papers), Ecology and Conservation Studies (8 papers) and Agriculture, Soil, Plant Science (8 papers). Chang-Kil Kim collaborates with scholars based in South Korea, Pakistan and United States. Chang-Kil Kim's co-authors include Ki‐Byung Lim, Adnan Younis, Muhammad Irfan Siddique, Leonard M. Pike, Sunghun Park, Roberta H. Smith, Kendal D. Hirschi, Jeung-Sul Han, Sunggil Kim and Mi-Young Chung and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and BMC Genomics.

In The Last Decade

Chang-Kil Kim

47 papers receiving 426 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chang-Kil Kim 337 223 32 31 29 53 454
Neslihan Turgut Kara 276 0.8× 230 1.0× 31 1.0× 23 0.7× 29 1.0× 39 440
Anil Kumar 336 1.0× 173 0.8× 33 1.0× 24 0.8× 38 1.3× 45 456
Rosa María Escobedo-GraciaMedrano 270 0.8× 211 0.9× 43 1.3× 20 0.6× 44 1.5× 26 432
Roberta Lane de Oliveira Silva 311 0.9× 230 1.0× 22 0.7× 32 1.0× 18 0.6× 34 482
Yang Bai 366 1.1× 276 1.2× 22 0.7× 16 0.5× 31 1.1× 61 502
Rasool Asghari Zakaria 368 1.1× 281 1.3× 50 1.6× 36 1.2× 28 1.0× 77 537
Konstantin A. Shestibratov 271 0.8× 161 0.7× 24 0.8× 22 0.7× 23 0.8× 46 405
Pin Su 371 1.1× 157 0.7× 34 1.1× 16 0.5× 20 0.7× 32 493
C. K. Weebadde 356 1.1× 151 0.7× 29 0.9× 22 0.7× 36 1.2× 45 486
Remo Chiozzotto 408 1.2× 202 0.9× 34 1.1× 16 0.5× 40 1.4× 27 470

Countries citing papers authored by Chang-Kil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Kil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Kil Kim. 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 Chang-Kil Kim. The network helps show where Chang-Kil Kim may publish in the future.

Co-authorship network of co-authors of Chang-Kil Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Kil Kim. A scholar is included among the top collaborators of Chang-Kil Kim 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 Chang-Kil Kim. Chang-Kil Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026