Jinhong Cho

515 total citations · 1 hit paper
8 papers, 357 citations indexed

About

Jinhong Cho is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jinhong Cho has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jinhong Cho's work include Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (3 papers) and RNA modifications and cancer (2 papers). Jinhong Cho is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (3 papers) and RNA modifications and cancer (2 papers). Jinhong Cho collaborates with scholars based in South Korea and United States. Jinhong Cho's co-authors include Eun Joo Song, Jin‐Young Park, Eunice EunKyeong Kim, Sang Chul Shin, Jae‐Hong Kim, Mihue Jang, Jinyoung Park, Hyunah Choo, Kyung‐Hee Kim and Jun Sung Moon and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Cancers.

In The Last Decade

Jinhong Cho

8 papers receiving 356 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ubiquitin–proteasome system (UPS) as a target for anticancer treatment

2020 270 citations Jin‐Young Park, Jinhong Cho et al. Archives of Pharmacal Research profile →

Peers

Jinhong Cho

MB

ONCOL

EPIDE

CR

CB

Tanjing Song China

Jinglue Song China

Benoît Marchand Canada

Alexander C. Jordan United States

Xavier Bernard United States

Juan Esquivel United States

Alexander Bank United States

Wan Chang China

Zhongxia Wang China

Sang Wu Lee South Korea

Tanjing Song China

Jinhong Cho

341 ×1.2

MB

133 ×1.3

ONCOL

52 ×0.9

EPIDE

62 ×1.2

CR

21 ×0.5

CB

Citations per year, relative to Jinhong Cho Jinhong Cho (= 1×) peers Tanjing Song

Countries citing papers authored by Jinhong Cho

Since Specialization

Citations

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

Fields of papers citing papers by Jinhong Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhong Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhong Cho. A scholar is included among the top collaborators of Jinhong Cho 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 Jinhong Cho. Jinhong Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Shin, Sang Chul, Jin‐Young Park, Kyung‐Hee Kim, et al.. (2023). Structural and functional characterization of USP47 reveals a hot spot for inhibitor design. Communications Biology. 6(1). 970–970. 2 indexed citations

2.

Moon, Jun Sung, Nam Hoon Kim, Jin Oh Na, et al.. (2022). Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance. Diabetes & Metabolism Journal. 47(1). 82–91. 4 indexed citations

3.

Cho, Jinhong, et al.. (2022). MicroRNA-101-3p Suppresses Cancer Cell Growth by Inhibiting the USP47-Induced Deubiquitination of RPL11. Cancers. 14(4). 964–964. 15 indexed citations

4.

Park, Jin‐Young, Jinhong Cho, & Eun Joo Song. (2020). Ubiquitin–proteasome system (UPS) as a target for anticancer treatment. Archives of Pharmacal Research. 43(11). 1144–1161. 270 indexed citations breakdown →

5.

Cho, Jinhong, Jin‐Young Park, Eunice EunKyeong Kim, & Eun Joo Song. (2020). Assay Systems for Profiling Deubiquitinating Activity. International Journal of Molecular Sciences. 21(16). 5638–5638. 13 indexed citations

6.

Cho, Jinhong, Jinyoung Park, Sang Chul Shin, et al.. (2020). Ribosomal protein S2 interplays with MDM2 to induce p53. Biochemical and Biophysical Research Communications. 523(2). 542–547. 19 indexed citations

7.

Cho, Jinhong, Jin‐Young Park, Sang Chul Shin, et al.. (2020). USP47 Promotes Tumorigenesis by Negative Regulation of p53 through Deubiquitinating Ribosomal Protein S2. Cancers. 12(5). 1137–1137. 21 indexed citations

8.

Park, Jin‐Young, Jinhong Cho, Eunice EunKyeong Kim, & Eun Joo Song. (2019). Deubiquitinating Enzymes: A Critical Regulator of Mitosis. International Journal of Molecular Sciences. 20(23). 5997–5997. 13 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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