Merck & Co., Inc., Rahway, NJ, USA (United States)
Impact in
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
- Oncology 3.5k
- Cancer Immunotherapy and Biomarkers 1.3k
- Top scholars
- Thomas A. HalgrenDavid E. MollerNancy A. ThornberryWilliam K. HagmannStephanie A. StudenskiDonald W. NicholsonGideon A. RodanBruce A. Johnson
- Journals
- Journal of Clinical Oncology (873 papers)Bioorganic & Medicinal Chemistry Letters (759 papers)Tetrahedron Letters (569 papers)Annals of Oncology (485 papers)Journal of Biological Chemistry (456 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Merck & Co., Inc., Rahway, NJ, USA (United States)
24.3k papers receiving 1.1M citations
Peers
Comparison fields: 5 of 249
- Oncology 145.5k
- Molecular Biology 378.9k
- Immunology 99.2k
- Pharmacology 76.5k
- Endocrinology, Diabetes and Metabolism 72.4k
Countries citing scholars working at Merck & Co., Inc., Rahway, NJ, USA (United States)
This map shows the geographic impact of research produced by authors working at Merck & Co., Inc., Rahway, NJ, USA (United States). 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 & Co., Inc., Rahway, NJ, USA (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merck & Co., Inc., Rahway, NJ, USA (United States) more than expected).
Fields of papers published by authors at Merck & Co., Inc., Rahway, NJ, USA (United States)
This network shows the impact of papers affiliated with Merck & Co., Inc., Rahway, NJ, USA (United States) 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 & Co., Inc., Rahway, NJ, USA (United States) at the time of their publication.
About Merck & Co., Inc., Rahway, NJ, USA (United States)
In recent decades, authors affiliated with Merck & Co., Inc., Rahway, NJ, USA (United States) have published 26.8k papers, which have received a total of 1.2M indexed citations . Scholars at this organization have produced 3.5k papers in Oncology, 718 papers in Pharmaceutical Science, 1.8k papers in Pharmacology, 7.6k papers in Molecular Biology and 2.8k papers in Organic Chemistry on the topics of Cancer Immunotherapy and Biomarkers (1.3k papers), Analytical Chemistry and Chromatography (975 papers), Chemical Synthesis and Analysis (889 papers), Receptor Mechanisms and Signaling (855 papers), Monoclonal and Polyclonal Antibodies Research (653 papers), Protein purification and stability (632 papers), Neuropeptides and Animal Physiology (610 papers) and Computational Drug Discovery Methods (597 papers). Their work is cited by papers focused on Oncology (145.5k citations), Molecular Biology (378.9k citations), Immunology (99.2k citations), Pharmacology (76.5k citations) and Endocrinology, Diabetes and Metabolism (72.4k citations). Authors at Merck & Co., Inc., Rahway, NJ, USA (United States) collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of Clinical Oncology, Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Annals of Oncology and Journal of Biological Chemistry. Some of Merck & Co., Inc., Rahway, NJ, USA (United States)'s most productive authors include Thomas A. Halgren, David E. Moller, Nancy A. Thornberry, William K. Hagmann, Stephanie A. Studenski, Donald W. Nicholson, Gideon A. Rodan, Bruce A. Johnson, William C. Campbell and Joel P. Berger.
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.