The 1.3k papers published in Genes & Diseases in the last decades have received a total of 25.2k indexed citations.
Papers published in Genes & Diseases usually cover Molecular Biology (851 papers), Cancer Research (346 papers) and Oncology (254 papers) specifically the topics of RNA modifications and cancer (170 papers), Cancer-related molecular mechanisms research (139 papers) and MicroRNA in disease regulation (92 papers). The most active scholars publishing in Genes & Diseases are Sang Yong Lee, Jun Sun, Bo Jiang, Chao Wei, Weiyi Wang, Ragini Gothalwal, Puneet Gandhi, Hue H. Luu, Russell R. Reid and Arun Upadhyay.
In The Last Decade
Genes & Diseases
1.2k papers
receiving
25.0k citations
Peers
Genes & Diseases
Comparison fields: 5 of 199
Molecular Biology13.5k
Cancer Research5.6k
Oncology4.3k
Immunology2.7k
Pulmonary and Respiratory Medicine2.4k
Replace Cell Biology and Toxicology with:
Cell Biology and ToxicologyChina
Cellular & Molecular Biology LettersChina
PROTEOMICS - CLINICAL APPLICATIONSUnited States
Critical Reviews in Eukaryotic Gene ExpressionUnited States
Experimental and Toxicologic PathologyGermany
FEBS Open BioChina
Cellular OncologyChina
Cell & BioscienceChina
International review of cell and molecular biologyUnited States
Progress in molecular biology and translational scienceUnited States
Countries where authors publish in Genes & Diseases
Since
Specialization
Citations
This map shows the geographic impact of research published in Genes & Diseases. 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 papers published in Genes & Diseases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genes & Diseases more than expected).
This network shows the impact of papers published in Genes & Diseases. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Genes & Diseases.
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.