Columbia University Irving Medical Center

2.1M citations
53.0k papers ·

Impact in

Papers in

Columbia University Irving Medical Center

44.7k papers receiving 1.8M citations

Peers

Columbia University Irving Medical Center
Comparison fields: 5 of 251
  • Cellular and Molecular Neuroscience 140.1k
  • Cardiology and Cardiovascular Medicine 150.8k
  • Molecular Biology 492.5k
  • Immunology 143.8k
  • Neurology 94.2k
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Columbia University Irving Medical Center relative to Albert Einstein College of Medicine United States Albert Einstein College of Medicine's profile →
Citations per field
00.5×1.5×
Albert Einstein College of Medicine · 1×
Citations per year

Countries citing scholars working at Columbia University Irving Medical Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Columbia University Irving Medical Center. 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 Columbia University Irving Medical Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Columbia University Irving Medical Center more than expected).

Fields of papers published by authors at Columbia University Irving Medical Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Columbia University Irving Medical Center 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 Columbia University Irving Medical Center at the time of their publication.

About Columbia University Irving Medical Center

In recent decades, authors affiliated with Columbia University Irving Medical Center have published 53.0k papers, which have received a total of 2.1M indexed citations . Scholars at this organization have produced 4.2k papers in Cardiology and Cardiovascular Medicine, 7.9k papers in Surgery, 1.8k papers in Genetics, 4.9k papers in Pulmonary and Respiratory Medicine and 4.1k papers in Oncology on the topics of Cardiac Valve Diseases and Treatments (1.1k papers), Coronary Interventions and Diagnostics (902 papers), Mechanical Circulatory Support Devices (797 papers), Neuroscience and Neuropharmacology Research (765 papers), Immune Cell Function and Interaction (617 papers), Cardiac Imaging and Diagnostics (574 papers), Glioma Diagnosis and Treatment (568 papers) and Cardiac Structural Anomalies and Repair (525 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (140.1k citations), Cardiology and Cardiovascular Medicine (150.8k citations), Molecular Biology (492.5k citations), Immunology (143.8k citations) and Neurology (94.2k citations). Authors at Columbia University Irving Medical Center collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of Clinical Oncology, Journal of the American College of Cardiology, Blood, The American Journal of Cardiology and Proceedings of the National Academy of Sciences. Some of Columbia University Irving Medical Center's most productive authors include Joseph Schlessinger, David J. Brenner, Gregg W. Stone, Eric J. Hall, Edward B. Ziff, Oliver Hobert, Lorraine S. Symington, Ira Tabas, Daniel B. Rifkin and Rodolfó R. Llinás.

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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