The relationship between the spleen colony-forming cell and the haemopoietic stem cell.
Impact in
- Hematology 750
Classified as
- Authors
- R. Schofield
- Journal
- PubMed
In The Last Decade
doi.org/w8559168 →Countries where authors are citing The relationship between the spleen colony-forming cell and the haemopoietic stem cell.
This map shows the geographic impact of The relationship between the spleen colony-forming cell and the haemopoietic stem cell.. 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 The relationship between the spleen colony-forming cell and the haemopoietic stem cell. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The relationship between the spleen colony-forming cell and the haemopoietic stem cell. more than expected).
Fields of papers citing The relationship between the spleen colony-forming cell and the haemopoietic stem cell.
This network shows the impact of The relationship between the spleen colony-forming cell and the haemopoietic stem cell.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The relationship between the spleen colony-forming cell and the haemopoietic stem cell..
About The relationship between the spleen colony-forming cell and the haemopoietic stem cell.
This paper, published in 1978, received 1.7k indexed citations . Written by R. Schofield covering the research area of Pulmonary and Respiratory Medicine. It is primarily cited by scholars working on Hematology (750 citations), Molecular Biology (634 citations), Genetics (532 citations), Oncology (380 citations) and Immunology (337 citations). Published in PubMed.
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/w8559168.