M. Matter

436 citations
8 papers · 229 · 1 hit paper · h-index 3

Impact in

Papers in

M. Matter

4 papers receiving 216 citations

M. Matter's Hit Papers

Inflammation in acute myocardial infarction: the good, the bad and the ugly 2023 · 185 citations
1850+1+2Years since publication50100150

Peers

M. Matter
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 67
  • Hematology 29
  • Internal Medicine 4
  • Immunology 21
  • Genetics 10
Replace Ping Huang with:
Ping Huang China
Eric Lipsic Netherlands
Mehmet Tokaç Türkiye
Sarah Tang United Kingdom
Anna D’Agostino Italy
Gianna Mennillo Italy
Ulises Zanetto United Kingdom
Réka Simon Hungary
V. Bykerk United States
M. Matter relative to Ping Huang China Ping Huang's profile →
Citations per field
00.5×3.4×
Ping Huang · 1×
Citations per year

Countries citing papers authored by M. Matter

Since Specialization
Citations

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

Fields of papers citing papers by M. Matter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Matter. 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 M. Matter. The network helps show where M. Matter may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Matter, 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 M. Matter Line = papers co-authored together M. Matter links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Inflammation in acute myocardial infarction: the good, the bad and the ugly
Hit paper breakdown →
2023185
2 195541
3 20092
4 20231
5 20240
6 20250
7 20240
8 20090

About M. Matter

M. Matter is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Hematology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 8 papers that have together received 229 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (2 papers), Cardiac Valve Diseases and Treatments (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (67 citations), Hematology (29 citations), Internal Medicine (4 citations), Immunology (21 citations) and Genetics (10 citations). M. Matter has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Stefan Frantz, Yu-Jen Wang, Frank Ruschitzka, Thomas M. Kündig, Christian M. Matter, Christian Templin, Peter Libby, Lorenz Räber, Barbara E. Stähli and Alessandro Mengozzi. Their work appears in journals such as Acta Haematologica, Current Opinion in Cardiology, European Heart Journal, Experimental Biology and Medicine and Catheterization and Cardiovascular Interventions.

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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