Ju-Tao Feng

11 papers and 491 indexed citations i.

About

Ju-Tao Feng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ju-Tao Feng has authored 11 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Ju-Tao Feng’s work include Machine Learning in Bioinformatics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and S100 Proteins and Annexins (2 papers). Ju-Tao Feng is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and S100 Proteins and Annexins (2 papers). Ju-Tao Feng collaborates with scholars based in China and United States. Ju-Tao Feng's co-authors include Haiyan Song, Yinkun Liu, Zhi Dai, Laura Beretta, Pengyuan Yang, Zhao‐You Tang, Lun‐Xiu Qin, Mohamad Radwan Almofti, Caiyun Fang and Haojie Lu and has published in prestigious journals such as Oncogene, Frontiers in Immunology and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Ju-Tao Feng i

Fields of papers citing papers by Ju-Tao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Tao Feng. 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 Ju-Tao Feng. The network helps show where Ju-Tao Feng may publish in the future.

Countries citing papers authored by Ju-Tao Feng

Since Specialization
Citations

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

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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2025