Daniel G. Chain

17 papers and 1.2k indexed citations i.

About

Daniel G. Chain is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel G. Chain has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel G. Chain’s work include Protease and Inhibitor Mechanisms (4 papers), Alzheimer's disease research and treatments (4 papers) and Ubiquitin and proteasome pathways (4 papers). Daniel G. Chain is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Alzheimer's disease research and treatments (4 papers) and Ubiquitin and proteasome pathways (4 papers). Daniel G. Chain collaborates with scholars based in United States, Israel and Italy. Daniel G. Chain's co-authors include James H. Schwartz, Ashok N. Hegde, Miguel A. Pappolla, Burkhard Pöeggeler, Eric R. Kandel, Andrea Casadio, Blas Frangione, Rawhi Omar, Jorge Ghiso and Shmuel Shaltiel and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Co-authorship network of co-authors of Daniel G. Chain i

Fields of papers citing papers by Daniel G. Chain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Chain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel G. Chain. The network helps show where Daniel G. Chain may publish in the future.

Countries citing papers authored by Daniel G. Chain

Since Specialization
Citations

This map shows the geographic impact of Daniel G. Chain's research. 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 Daniel G. Chain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Chain more than expected).

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.

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2025