Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations
In The Last Decade
doi.org/10.1021/ja00237a007 →Countries where authors are citing Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations
This map shows the geographic impact of Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations. 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 Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations more than expected).
Fields of papers citing Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations
This network shows the impact of Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations.
About Estimation of inner shell Marcus terms for amino nitrogen compounds by molecular orbital calculations
This paper, published in 1987, received 417 indexed citations . Written by Stephen F. Nelsen and Silas C. Blackstock covering the research area of Organic Chemistry, Physical and Theoretical Chemistry and Spectroscopy. It is primarily cited by scholars working on Electrical and Electronic Engineering (206 citations), Physical and Theoretical Chemistry (139 citations) and Organic Chemistry (132 citations). Published in Journal of the American Chemical Society.
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/10.1021/ja00237a007.