ImmPort, toward repurposing of open access immunological assay data for translational and clinical research

Abstract

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About

This paper, published in 1950, received 500 indexed citations. Written by Sanchita Bhattacharya, Patrick Dunn, Cristel G. Thomas, Barry Smith, Henry Schaefer, Jieming Chen, Zicheng Hu, Kelly A. Zalocusky, Ravi Shankar and Shai S. Shen-Orr covering the research area of Molecular Biology and Biophysics. It is primarily cited by scholars working on Molecular Biology (234 citations), Pulmonary and Respiratory Medicine (174 citations) and Oncology (150 citations). Published in Scientific Data.

Countries where authors are citing ImmPort, toward repurposing of open access immunological assay data for translational and clinical research

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Citations

This map shows the geographic impact of ImmPort, toward repurposing of open access immunological assay data for translational and clinical 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 ImmPort, toward repurposing of open access immunological assay data for translational and clinical research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ImmPort, toward repurposing of open access immunological assay data for translational and clinical research more than expected).

Fields of papers citing ImmPort, toward repurposing of open access immunological assay data for translational and clinical research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of ImmPort, toward repurposing of open access immunological assay data for translational and clinical research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.

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.

This paper is also available at doi.org/10.1038/sdata.2018.15.

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