Kiyong Na

1.2k total citations
66 papers, 835 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 835 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 Glioma Diagnosis and Treatment (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 Glioma Diagnosis and Treatment (5 papers). Kiyong Na collaborates with scholars based in South Korea, Italy and Argentina. Kiyong Na's co-authors include Hyun Soo Kim, Ji‐Youn Sung, Youn Wha Kim, Yong-Koo Park, So‐Woon Kim, Hyunjin Kim, Jong Hee Chang, Hyo Sup Shim, Se Hoon Kim and Ha Young Woo 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 829 citations

Author Peers

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

Author Last Decade Papers Cites
Kiyong Na 260 251 222 199 175 66 835
Biagio Paolini 188 0.7× 137 0.5× 213 1.0× 318 1.6× 325 1.9× 80 1.0k
Michele De Nictolis 481 1.9× 348 1.4× 269 1.2× 219 1.1× 333 1.9× 52 1.3k
Jaime Prat 242 0.9× 274 1.1× 94 0.4× 96 0.5× 169 1.0× 13 648
Greg A. Miller 157 0.6× 116 0.5× 114 0.5× 180 0.9× 162 0.9× 39 684
Manuela Pelmus 201 0.8× 272 1.1× 423 1.9× 102 0.5× 156 0.9× 27 944
Maria L. Carcangiu 378 1.5× 258 1.0× 138 0.6× 277 1.4× 329 1.9× 32 1.4k
Choutatsu Tsukayama 139 0.5× 194 0.8× 103 0.5× 203 1.0× 149 0.9× 24 801
H Pickartz 224 0.9× 193 0.8× 92 0.4× 193 1.0× 149 0.9× 39 805
Rola H. Ali 427 1.6× 773 3.1× 646 2.9× 141 0.7× 217 1.2× 50 1.4k
Eva Cristóbal 128 0.5× 103 0.4× 117 0.5× 66 0.3× 122 0.7× 29 715

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

20 of 20 papers shown
1.
Park, Ki-Hoon, Seok-Hyung Kim, So‐Woon Kim, et al.. (2025). NADK as a molecular marker to distinguish between alcohol- and non-alcohol-associated liver cirrhosis: A pilot study. Clinical and Experimental Hepatology. 11(1). 71–80.
2.
Choi, Jae‐Sun, Kiyong Na, Taewoo Kim, et al.. (2024). KEAP1-NRF2 Pathway as a Novel Therapeutic Target for EGFR-Mutant Non-small Cell Lung Cancer. Tuberculosis & respiratory diseases. 88(1). 138–149. 3 indexed citations
3.
4.
Woo, Ha Young, Seoung Wan Chae, Sung‐Im Do, & Kiyong Na. (2022). Clinicopathological Characterization of Primary Diffuse Large B-Cell Lymphoma of the Central Nervous System. Anticancer Research. 42(11). 5601–5608. 2 indexed citations
5.
Kim, Hyunjin, Hyunjin Kim, Kiyong Na, et al.. (2021). Mesonephric-like Adenocarcinoma of the Uterine Corpus: Comprehensive Immunohistochemical Analyses Using Markers for Mesonephric, Endometrioid and Serous Tumors. Diagnostics. 11(11). 2042–2042. 28 indexed citations
6.
Na, Kiyong, Ha Young Woo, Sung‐Im Do, & So‐Woon Kim. (2021). Combination of GATA3, SOX-10, and PAX8 in a Comprehensive Panel to Diagnose Breast Cancer Metastases. In Vivo. 36(1). 473–481. 2 indexed citations
7.
8.
Kim, Hyunjin, Nara Yoon, Ha Young Woo, et al.. (2020). Atypical Mesonephric Hyperplasia of the Uterus Harbors Pathogenic Mutation of Kirsten Rat Sarcoma 2 Viral Oncogene Homolog (KRAS) and Gain of Chromosome 1q. Cancer Genomics & Proteomics. 17(6). 813–826. 12 indexed citations
9.
Lee, Hye Won, Kiyong Na, Seung Up Kim, et al.. (2019). Predictive validation of qualitative fibrosis staging in patients with chronic hepatitis B on antiviral therapy. Scientific Reports. 9(1). 15628–15628. 2 indexed citations
10.
Sung, Ji‐Youn, et al.. (2019). Clinicoradiological Features of Recurrent Meningioma With High Grade Transformation. Anticancer Research. 39(11). 6299–6305. 1 indexed citations
11.
Na, Kiyong, Hyun Soo Kim, Hyo Sup Shim, et al.. (2019). Targeted next-generation sequencing panel (TruSight Tumor 170) in diffuse glioma: a single institutional experience of 135 cases. Journal of Neuro-Oncology. 142(3). 445–454. 49 indexed citations
12.
Na, Kiyong, Ji‐Youn Sung, & Hyun Soo Kim. (2018). Clinicopathological Characteristics of High-grade Squamous Intraepithelial Lesions Involving Condyloma Acuminatum. Anticancer Research. 38(3). 1767–1774. 15 indexed citations
13.
Na, Kiyong, Jung‐Yun Lee, Ji‐Youn Sung, et al.. (2018). Comparative clinicopathological and cytomorphological analyses of peritoneal carcinomatosis associated with metastatic breast carcinoma and primary peritoneal/ovarian carcinoma in patients with a history of breast carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 473(2). 165–175. 16 indexed citations
14.
Na, Kiyong & Hyun Soo Kim. (2017). Clinicopathological characteristics of fallopian tube metastases from primary endometrial, cervical, and nongynecological malignancies: a single institutional experience. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 471(3). 363–373. 20 indexed citations
15.
Na, Kiyong, Ji‐Youn Sung, & Hyun Soo Kim. (2017). TP53 Mutation Status of Tubo-ovarian and Peritoneal High-grade Serous Carcinoma with a Wild-type p53 Immunostaining Pattern. Anticancer Research. 37(12). 6697–6703. 33 indexed citations
16.
Na, Kiyong, Eun‐Kyung Kim, Won-Jun Jang, & Hyun Soo Kim. (2017). CTNNB1 Mutations in Ovarian Microcystic Stromal Tumors: Identification of a Novel Deletion Mutation and the Use of Pyrosequencing to Identify Reported Point Mutation. Anticancer Research. 37(6). 3249–3258. 21 indexed citations
17.
Na, Kiyong, Sang Ho Oh, & Sang Kyum Kim. (2017). Acne keloidalis nuchae in Asian: A single institutional experience. PLoS ONE. 12(12). e0189790–e0189790. 17 indexed citations
18.
Na, Kiyong, Byeong‐Joo Noh, Ji‐Youn Sung, et al.. (2015). IDH Mutation Analysis in Ewing Sarcoma Family Tumors. Journal of Pathology and Translational Medicine. 49(3). 257–261. 10 indexed citations
19.
Na, Kiyong, Hyun‐Sook Kim, Woon‐Won Jung, et al.. (2013). CXCL16 and CXCR6 in Ewing sarcoma family tumor. Human Pathology. 45(4). 753–760. 13 indexed citations
20.
Na, Kiyong, Youn Wha Kim, & Yong-Koo Park. (2012). Mitogen-activated protein kinase pathway in osteosarcoma. Pathology. 44(6). 540–546. 16 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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