T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition

1.2k indexed citations

Abstract

loading...

About

This paper, published in 2017, received 1.2k indexed citations. Written by Enfu Hui, Jeanne Cheung, Jing Zhu, Xiaolei Su, Marcus J. Taylor, Heidi Ackerly Wallweber, Dibyendu K. Sasmal, Jun Huang, Jeong Kim and Ira Mellman covering the research area of Oncology and Immunology. It is primarily cited by scholars working on Immunology (822 citations), Oncology (816 citations) and Molecular Biology (294 citations). Published in Science.

Countries where authors are citing T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition

Specialization
Citations

This map shows the geographic impact of T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition. 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 T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition more than expected).

Fields of papers citing T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition.

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/10.1126/science.aaf1292.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026