Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR
Countries where authors are citing Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR
This map shows the geographic impact of Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR. 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 Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR more than expected).
Fields of papers citing Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR
This network shows the impact of Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR.
About Liver tumor promotion by the cyanobacterial cyclic peptide toxin microcystin-LR
This paper, published in 1992, received 680 indexed citations . Written by Rie Nishiwaki‐Matsushima, Tetsuya Ohta, Shinji Nishiwaki, Masami Suganuma, Takatoshi Ishikawa, Wayne W. Carmichael and Hirota Fujiki covering the research area of Environmental Chemistry and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Environmental Chemistry (601 citations), Oceanography (359 citations) and Ecology, Evolution, Behavior and Systematics (263 citations). Published in Journal of Cancer Research and Clinical Oncology.
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/10.1007/bf01629424.