Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition
Impact in
- Plant Science 566
Classified as
- Journal
- The Plant Cell
In The Last Decade
doi.org/10.1105/tpc.16.00891 →Countries where authors are citing Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition
This map shows the geographic impact of Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition. 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 Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition more than expected).
Fields of papers citing Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition
This network shows the impact of Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition.
About Receptor Kinases in Plant-Pathogen Interactions: More Than Pattern Recognition
This paper, published in 2017, received 628 indexed citations . Written by Dingzhong Tang, Guoxun Wang and Jian‐Min Zhou covering the research area of Plant Science. It is primarily cited by scholars working on Plant Science (566 citations), Molecular Biology (149 citations), Cell Biology (53 citations), Insect Science (19 citations) and Biotechnology (16 citations). Published in The Plant Cell.
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/10.1105/tpc.16.00891.