Merck (Germany)

6.2k papers and 198.3k indexed citations i.

About

In recent decades, authors affiliated with Merck (Germany) have published 6.2k papers, which have received a total of 198.3k indexed citations. Scholars at this organization have produced 1.6k papers in Molecular Biology, 1.1k papers in Oncology and 663 papers in Electrical and Electronic Engineering on the topics of Lung Cancer Treatments and Mutations (314 papers), Monoclonal and Polyclonal Antibodies Research (310 papers) and Analytical Chemistry and Chromatography (297 papers). Their work is cited by papers focused on Molecular Biology (54.1k citations), Oncology (42.4k citations) and Pulmonary and Respiratory Medicine (20.7k citations). Authors at Merck (Germany) collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Merck (Germany)'s most productive authors include Simon L. Goodman, Stefan O. Mueller, Eric Van Cutsem, Peer Kirsch, Karin Cabrera, Dieter Lubda, M. Amin Arnaout, Jian-Ping Xiong, Matthias Bremer and U. Heider.

In The Last Decade

Fields of papers published by authors at Merck (Germany)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Merck (Germany) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Merck (Germany) at the time of their publication.

Countries citing scholars working at Merck (Germany)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Merck (Germany). 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 papers produced at Merck (Germany) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merck (Germany) 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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