Merck KGaA, Darmstadt (Germany)

219.4k citations
7.0k papers ·

Impact in

  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers
    • Cell Adhesion Molecules Research

Papers in

Merck KGaA, Darmstadt (Germany)

6.2k papers receiving 200.9k citations

Peers

Merck KGaA, Darmstadt (Germany)
Comparison fields: 5 of 244
  • Oncology 36.2k
  • Immunology and Allergy 8.0k
  • Otorhinolaryngology 4.8k
  • Pharmaceutical Science 6.1k
  • Molecular Biology 55.9k
Replace Boehringer Ingelheim (Germany) with:
Boehringer Ingelheim (Germany) Germany
University Medical Centre Mannheim Germany
Sanofi (France) France
Roche (Switzerland) Switzerland
Janssen (Belgium) Belgium
Novartis Institutes for BioMedical Research Switzerland
Novartis (Switzerland) Switzerland
GlaxoSmithKline (United Kingdom) United Kingdom
Centro di Riferimento Oncologico Italy
Humanitas University Italy
Merck KGaA, Darmstadt (Germany) relative to Boehringer Ingelheim (Germany) Germany Boehringer Ingelheim (Germany)'s profile →
Citations per field
00.5×8.0×
Boehringer Ingelheim (Germany) · 1×
Citations per year

Countries citing scholars working at Merck KGaA, Darmstadt (Germany)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Merck KGaA, Darmstadt (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 KGaA, Darmstadt (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 KGaA, Darmstadt (Germany) more than expected).

Fields of papers published by authors at Merck KGaA, Darmstadt (Germany)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Merck KGaA, Darmstadt (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 KGaA, Darmstadt (Germany) at the time of their publication.

About Merck KGaA, Darmstadt (Germany)

In recent decades, authors affiliated with Merck KGaA, Darmstadt (Germany) have published 7.0k papers, which have received a total of 219.4k indexed citations . Scholars at this organization have produced 249 papers in Pharmaceutical Science, 959 papers in Oncology, 460 papers in Spectroscopy, 146 papers in Immunology and Allergy and 1.6k papers in Molecular Biology on the topics of Monoclonal and Polyclonal Antibodies Research (327 papers), Analytical Chemistry and Chromatography (323 papers), Lung Cancer Treatments and Mutations (274 papers), Protein purification and stability (247 papers), Colorectal Cancer Treatments and Studies (189 papers), Liquid Crystal Research Advancements (166 papers), Multiple Sclerosis Research Studies (166 papers) and Computational Drug Discovery Methods (148 papers). Their work is cited by papers focused on Oncology (36.2k citations), Immunology and Allergy (8.0k citations), Otorhinolaryngology (4.8k citations), Pharmaceutical Science (6.1k citations) and Molecular Biology (55.9k citations). Authors at Merck KGaA, Darmstadt (Germany) collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Journal of Clinical Oncology, Annals of Oncology, Journal of Chromatography A, Cancer Research and Chemie Ingenieur Technik. Some of Merck KGaA, Darmstadt (Germany)'s most productive authors include Simon L. Goodman, Stefan O. Mueller, Peer Kirsch, Eric Van Cutsem, Karin Cabrera, G. M. Sessler, Dieter Lubda, Helge B. Bode, M. Amin Arnaout and Matthias Bremer.

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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