Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm0897-849 →Countries where authors are citing Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants
This map shows the geographic impact of Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants. 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 Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants more than expected).
Fields of papers citing Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants
This network shows the impact of Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants.
About Immunostimulatory DNA sequences function as T helper-1-promoting adjuvants
This paper, published in 1997, received 782 indexed citations . Written by Mark Roman, Elena Martín‐Orozco, Minh-Duc Nguyen, Yukio Sato, Arash Ronaghy, Richard S. Kornbluth, Douglas D. Richman, Dennis A. Carson and Eyal Raz covering the research area of Immunology and Microbiology. It is primarily cited by scholars working on Immunology (601 citations), Molecular Biology (202 citations) and Epidemiology (126 citations). Published in Nature Medicine.
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/nm0897-849.