Cristina Eunbee Cho

472 total citations · 1 hit paper
4 papers, 249 citations indexed

About

Cristina Eunbee Cho is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cristina Eunbee Cho has authored 4 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cristina Eunbee Cho's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Gastric Cancer Management and Outcomes (2 papers) and AI in cancer detection (2 papers). Cristina Eunbee Cho is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Gastric Cancer Management and Outcomes (2 papers) and AI in cancer detection (2 papers). Cristina Eunbee Cho collaborates with scholars based in South Korea and Peru. Cristina Eunbee Cho's co-authors include Luis Saravia, Williams Fajardo, Alejandra Zevallos, Jhajaira M. Araujo, Joseph A. Pinto, Alejandro Alfaro, Namkug Kim, In Hye Song, So Yeon Park and Soomin Ahn and has published in prestigious journals such as Scientific Reports, Critical Reviews in Oncology/Hematology and Computers in Biology and Medicine.

In The Last Decade

Cristina Eunbee Cho

4 papers receiving 247 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.

Characteristics of gastric cancer around the world

2022 175 citations Alejandro Alfaro, Luis Saravia et al. Critical Reviews in Oncology/Hematology profile →

Peers

Cristina Eunbee Cho

PRM

ONCOL

MB

RNMI

SURGE

Chandrashekhar Dasari United States

Yanpeng Li China

Changlin Zou China

Ali Dastranj Tabrizi Iran

Marcelo Moreno Brazil

Huanhuan Liu China

Dexin Lin China

Yiliang Bi China

Ji Hoon Kim South Korea

Xiaoying Guan China

Chandrashekhar Dasari United States

Cristina Eunbee Cho

89 ×1.1

PRM

93 ×1.1

ONCOL

107 ×1.5

MB

31 ×0.6

RNMI

40 ×0.8

SURGE

Citations per year, relative to Cristina Eunbee Cho Cristina Eunbee Cho (= 1×) peers Chandrashekhar Dasari

Countries citing papers authored by Cristina Eunbee Cho

Since Specialization

Citations

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

Fields of papers citing papers by Cristina Eunbee Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Eunbee Cho

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

All Works

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4 of 4 papers shown

1.

Cho, Cristina Eunbee, et al.. (2022). Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies. Computers in Biology and Medicine. 152. 106335–106335. 17 indexed citations

2.

Cho, Cristina Eunbee, Ji-Eon Kim, Jonghyun Lee, et al.. (2022). Deep learning model to predict Epstein–Barr virus associated gastric cancer in histology. Scientific Reports. 12(1). 18466–18466. 12 indexed citations

3.

Alfaro, Alejandro, Luis Saravia, Jhajaira M. Araujo, et al.. (2022). Characteristics of gastric cancer around the world. Critical Reviews in Oncology/Hematology. 181. 103841–103841. 175 indexed citations breakdown →

4.

Kim, Young‐Gon, Sungchul Kim, Cristina Eunbee Cho, et al.. (2020). Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections. Scientific Reports. 10(1). 21899–21899. 45 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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