Kiyong Na

92 total papers · 1.2k total citations
66 papers, 827 citations indexed

About

Kiyong Na is a scholar working on Pulmonary and Respiratory Medicine, Reproductive Medicine and Oncology. According to data from OpenAlex, Kiyong Na has authored 66 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 15 papers in Reproductive Medicine and 13 papers in Oncology. Recurrent topics in Kiyong Na's work include Ovarian cancer diagnosis and treatment (12 papers), Sarcoma Diagnosis and Treatment (11 papers) and Uterine Myomas and Treatments (5 papers). Kiyong Na is often cited by papers focused on Ovarian cancer diagnosis and treatment (12 papers), Sarcoma Diagnosis and Treatment (11 papers) and Uterine Myomas and Treatments (5 papers). Kiyong Na collaborates with scholars based in South Korea, United States and Argentina. Kiyong Na's co-authors include Hyun Soo Kim, Ji‐Youn Sung, Youn Wha Kim, Yong-Koo Park, So‐Woon Kim, Jong Hee Chang, Hyo Sup Shim, Se Hoon Kim, Ha Young Woo and Jung‐Yun Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kiyong Na

62 papers receiving 821 citations

Author Peers

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

Author						Papers	Cites
Kiyong Na	258	248	221	197	170	66	827
Christina H. Son	144 0.6×	283 1.1×	267 1.2×	194 1.0×	166 1.0×	35	876
Shinichi Komiyama	379 1.5×	233 0.9×	133 0.6×	237 1.2×	189 1.1×	76	880
Antonio De Leo	160 0.6×	192 0.8×	226 1.0×	163 0.8×	190 1.1×	99	844
Zeina Ghorab	308 1.2×	289 1.2×	139 0.6×	195 1.0×	144 0.8×	62	887
Kuan-Chong Chao	311 1.2×	329 1.3×	103 0.5×	266 1.4×	203 1.2×	45	962
Noriyoshi Ishikawa	193 0.7×	174 0.7×	229 1.0×	294 1.5×	178 1.0×	92	887
Anne Kathrin Höhn	169 0.7×	237 1.0×	137 0.6×	172 0.9×	75 0.4×	67	846
H Pickartz	224 0.9×	194 0.8×	92 0.4×	193 1.0×	150 0.9×	39	805
Tomoko Haba	138 0.5×	185 0.7×	150 0.7×	253 1.3×	146 0.9×	30	925
Biagio Paolini	184 0.7×	132 0.5×	210 1.0×	310 1.6×	320 1.9×	80	991

Countries citing papers authored by Kiyong Na

Since Specialization

Citations

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

Fields of papers citing papers by Kiyong Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyong Na

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyong Na. A scholar is included among the top collaborators of Kiyong 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 Kiyong Na. Kiyong Na 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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