Christopher G Meier

896 citations
7 papers · 719 · 1 hit paper · h-index 6

Impact in

Papers in

Christopher G Meier

7 papers receiving 705 citations

Christopher G Meier's Hit Papers

Association Between Extracellular Matrix Expansion Quantified by Cardiovascular Magnetic Resonance and Short-Term Mortality 2012 · 405 citations
4050+4+9Years since publication100200300400

Peers

Christopher G Meier
Comparison fields: 5 of 61
  • Cardiology and Cardiovascular Medicine 331
  • Radiology, Nuclear Medicine and Imaging 297
  • Microbiology 2
  • Epidemiology 54
  • Microbiology 10
Replace Nir Lewis with:
Nir Lewis Israel
Olaf Sowade Germany
Yuji Hiraoka Japan
Stephane Leung Wai Sang United States
Niro Narendran United Kingdom
M. Killich Germany
William Lorelli United States
Kenji Murakami Japan
Benjamin L. Siu United States
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Countries citing papers authored by Christopher G Meier

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G Meier. 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 Christopher G Meier. The network helps show where Christopher G Meier may publish in the future.

Co-authors

The 20 scholars most cited alongside Christopher G Meier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher G Meier Line = papers co-authored together Christopher G Meier links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Association Between Extracellular Matrix Expansion Quantified by Cardiovascular Magnetic Resonance and Short-Term Mortality
Hit paper breakdown →
2012405
2 2011202
3 201337
4 202129
5 201327
6 198318
7 20181

About Christopher G Meier

Christopher G Meier is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Physiology and Ecology, having authored 7 papers that have together received 719 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (2 papers), Advanced MRI Techniques and Applications (2 papers), Mycobacterium research and diagnosis (1 paper), CRISPR and Genetic Engineering (1 paper), Cardiovascular Effects of Exercise (1 paper), Tuberculosis Research and Epidemiology (1 paper), Sarcoidosis and Beryllium Toxicity Research (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (331 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Microbiology (2 citations), Epidemiology (54 citations) and Microbiology (10 citations). Christopher G Meier has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter Kellman, Erik B. Schelbert, DAVID S. SCHWARTZMAN, Timothy C. Wong, Stephen M. Testa, Sanjeev G. Shroff, Marc A. M. Simon, Suresh R Mulukutla, Kayla M. Piehler and Jonathan Shakesprere. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, European Heart Journal, mBio, New England Journal of Medicine and Journal of Virology.

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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