Marja Puurunen

3.4k citations
45 papers · 2.0k indexed · 1 hit paper · h-index 22

Marja Puurunen

45 papers receiving 1.9k citations

Hit Papers

An engineered E. coli Nissle improves hyperammonemia and ...280201920262021202350100150200250

Peers

Marja Puurunen
Comparison fields: 5 of 101
  • Internal Medicine 237
  • Rheumatology 667
  • Hematology 420
  • Biochemistry 127
  • Cardiology and Cardiovascular Medicine 460
Replace N. Semeraro with:
N. Semeraro Italy
Nils U. Bang United States
N. Raphael Shulman United States
W. R. Pitney Australia
M. Seigneur France
Junki Takamatsu Japan
Uwe Kalina Germany
Christian Schoergenhofer Austria
Minoru Ando Japan
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Marja Puurunen relative to N. Semeraro Italy N. Semeraro's profile →
Citations per field
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N. Semeraro · 1×
Citations per year

Countries citing papers authored by Marja Puurunen

Since Specialization
Citations

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

Fields of papers citing papers by Marja Puurunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202341
2 20231
3 202219
4 202113
5 2021105
6
An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humansbreakdown →
2019280
7 20181
8 201714
9 201687
10 201613
11 20156
12 201417
13 201427
14 201332
15 201321
16 201216
17 201015
18 200916
19 200870
20 199827

About Marja Puurunen

Marja Puurunen is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (12 papers), Venous Thromboembolism Diagnosis and Management (12 papers), Systemic Lupus Erythematosus Research (8 papers), Metabolism and Genetic Disorders (5 papers), Diet and metabolism studies (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Internal Medicine (237 citations), Rheumatology (667 citations) and Hematology (420 citations). Marja Puurunen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Outi Vaarala, Timo Palosuo, Matti Mänttäri, Vesa Manninen, Kimmo Aho, Kaija Javela, Leena Tenkanen, Aoife M. Brennan, William S. Denney and Pirjo Mustonen. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

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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