Kwang‐Yul Cha

47 total papers · 2.1k total citations
29 papers, 1.7k citations indexed

About

Kwang‐Yul Cha is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Kwang‐Yul Cha has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Public Health, Environmental and Occupational Health and 12 papers in Reproductive Medicine. Recurrent topics in Kwang‐Yul Cha's work include Reproductive Biology and Fertility (14 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (6 papers). Kwang‐Yul Cha is often cited by papers focused on Reproductive Biology and Fertility (14 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (6 papers). Kwang‐Yul Cha collaborates with scholars based in South Korea, United States and Japan. Kwang‐Yul Cha's co-authors include Hyung‐Min Chung, Kyung‐Ah Lee, Sung‐Hwan Moon, Shin Yong Moon, Kye-Seong Kim, Hyun Soo Yoon, Jung Yeon Kim, Soo-Kyoung Kim, Ji Yeon Lee and Sook‐Hwan Lee and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Developmental Biology.

In The Last Decade

Kwang‐Yul Cha

29 papers receiving 1.6k citations

Hit Papers

Human embryonic stem cell... 2004 2026 2011 2018 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Kwang‐Yul Cha 1.2k 576 499 421 213 29 1.7k
Ankur K. Nagaraja 1.1k 0.9× 760 1.3× 545 1.1× 354 0.8× 235 1.1× 18 1.8k
Chong Tang 1.5k 1.3× 800 1.4× 217 0.4× 305 0.7× 279 1.3× 31 1.9k
Yoji Kojima 1.5k 1.3× 402 0.7× 321 0.6× 134 0.3× 226 1.1× 34 1.9k
Michelle Sims 1.4k 1.2× 437 0.8× 810 1.6× 258 0.6× 591 2.8× 33 2.2k
Julio E. Agno 1.1k 1.0× 206 0.4× 569 1.1× 487 1.2× 418 2.0× 19 1.7k
Go Nagamatsu 1.6k 1.4× 232 0.4× 815 1.6× 575 1.4× 395 1.9× 35 2.4k
Claudia Andreu‐Vieyra 866 0.7× 291 0.5× 259 0.5× 202 0.5× 256 1.2× 37 1.4k
Ayumu Takeuchi 1.2k 1.0× 588 1.0× 182 0.4× 143 0.3× 160 0.8× 16 1.6k
Tomokazu Amano 1.2k 1.0× 156 0.3× 376 0.8× 310 0.7× 232 1.1× 36 1.9k
Masood Abu‐Halima 855 0.7× 824 1.4× 246 0.5× 445 1.1× 227 1.1× 37 1.4k

Countries citing papers authored by Kwang‐Yul Cha

Since Specialization
Citations

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

Fields of papers citing papers by Kwang‐Yul Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwang‐Yul Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Yul Cha. A scholar is included among the top collaborators of Kwang‐Yul Cha 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 Kwang‐Yul Cha. Kwang‐Yul Cha 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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