Ye Jin Ha

53 total papers · 849 total citations
26 papers, 610 citations indexed

About

Ye Jin Ha is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Ye Jin Ha has authored 26 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pathology and Forensic Medicine and 8 papers in Molecular Biology. Recurrent topics in Ye Jin Ha's work include Colorectal Cancer Treatments and Studies (10 papers), Genetic factors in colorectal cancer (9 papers) and Liver Disease Diagnosis and Treatment (3 papers). Ye Jin Ha is often cited by papers focused on Colorectal Cancer Treatments and Studies (10 papers), Genetic factors in colorectal cancer (9 papers) and Liver Disease Diagnosis and Treatment (3 papers). Ye Jin Ha collaborates with scholars based in South Korea, United States and Ethiopia. Ye Jin Ha's co-authors include Raymond Kwok, M. C. Ngu, Grace Lai–Hung Wong, Vincent Wai‐Sun Wong, Henry Lik‐Yuen Chan, Y K Tse, Jin Cheon Kim, Seon Ae Roh, Chan Wook Kim and Yong Sung Kim and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Ye Jin Ha

24 papers receiving 598 citations

Author Peers

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

Author Last Decade Papers Cites
Ye Jin Ha 318 184 158 154 112 26 610
Timo Itzel 234 0.7× 113 0.6× 230 1.5× 123 0.8× 75 0.7× 29 594
Yosuke Aihara 339 1.1× 218 1.2× 138 0.9× 73 0.5× 149 1.3× 28 581
Stephan Buch 229 0.7× 84 0.5× 167 1.1× 127 0.8× 99 0.9× 32 650
Michel Guiguet 222 0.7× 190 1.0× 118 0.7× 129 0.8× 61 0.5× 25 627
Edward Mena 462 1.5× 359 2.0× 120 0.8× 79 0.5× 95 0.8× 28 683
Ji-Na Zheng 283 0.9× 189 1.0× 130 0.8× 46 0.3× 61 0.5× 25 505
Jean Frédéric Blanc 216 0.7× 267 1.5× 74 0.5× 169 1.1× 42 0.4× 20 590
Adam Levene 334 1.1× 160 0.9× 137 0.9× 66 0.4× 129 1.2× 19 593
Takashi Kizu 204 0.6× 126 0.7× 140 0.9× 140 0.9× 51 0.5× 26 655
Pierre Broqua 342 1.1× 159 0.9× 205 1.3× 35 0.2× 123 1.1× 25 598

Countries citing papers authored by Ye Jin Ha

Since Specialization
Citations

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

Fields of papers citing papers by Ye Jin Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Jin Ha. 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 Ye Jin Ha. The network helps show where Ye Jin Ha may publish in the future.

Co-authorship network of co-authors of Ye Jin Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Jin Ha. A scholar is included among the top collaborators of Ye Jin Ha 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 Ye Jin Ha. Ye Jin Ha 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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