Hai‐Lin Park

49 total papers · 1.5k total citations
32 papers, 648 citations indexed

About

Hai‐Lin Park is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics. According to data from OpenAlex, Hai‐Lin Park has authored 32 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 13 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Hai‐Lin Park's work include Breast Lesions and Carcinomas (12 papers), BRCA gene mutations in cancer (11 papers) and Breast Cancer Treatment Studies (11 papers). Hai‐Lin Park is often cited by papers focused on Breast Lesions and Carcinomas (12 papers), BRCA gene mutations in cancer (11 papers) and Breast Cancer Treatment Studies (11 papers). Hai‐Lin Park collaborates with scholars based in South Korea, Ethiopia and United States. Hai‐Lin Park's co-authors include Lee Su Kim, Jin Young Kwak, Eun‐Kyung Kim, Sung‐Won Kim, Jong Won Lee, Sung Eun Kim, Wonshik Han, Hye-Jin Kim, Min Hyuk Lee and Won Gu Kim and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Cancer Letters.

In The Last Decade

Hai‐Lin Park

30 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Hai‐Lin Park	241	189	173	110	108	32	648
Ralph George	164 0.7×	215 1.1×	102 0.6×	223 2.0×	41 0.4×	33	687
J. Harold Cheek	276 1.1×	278 1.5×	100 0.6×	73 0.7×	31 0.3×	23	672
H. Kiener	122 0.5×	30 0.2×	33 0.2×	54 0.5×	174 1.6×	31	643
Dugald McCallum	113 0.5×	84 0.4×	112 0.6×	215 2.0×	59 0.5×	30	674
Emily L. Postma	197 0.8×	276 1.5×	55 0.3×	162 1.5×	166 1.5×	24	609
K.-D. Schulz	88 0.4×	111 0.6×	170 1.0×	75 0.7×	140 1.3×	31	634
Anju Bansal	128 0.5×	160 0.8×	131 0.8×	190 1.7×	131 1.2×	47	688
Petra Milde	382 1.6×	27 0.1×	121 0.7×	47 0.4×	127 1.2×	35	744
Jihyoung Cho	274 1.1×	352 1.9×	59 0.3×	209 1.9×	130 1.2×	52	745
Hongying He	50 0.2×	59 0.3×	42 0.2×	114 1.0×	91 0.8×	43	579

Countries citing papers authored by Hai‐Lin Park

Since Specialization

Citations

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

Fields of papers citing papers by Hai‐Lin Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Lin Park. 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 Hai‐Lin Park. The network helps show where Hai‐Lin Park may publish in the future.

Co-authorship network of co-authors of Hai‐Lin Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Lin Park. A scholar is included among the top collaborators of Hai‐Lin Park 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 Hai‐Lin Park. Hai‐Lin Park 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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