Sven Nylander

3.4k citations
52 papers · 2.6k · h-index 26

Impact in

Papers in

Sven Nylander

51 papers receiving 2.6k citations

Peers

Sven Nylander
Comparison fields: 5 of 110
  • Internal Medicine 407
  • Cardiology and Cardiovascular Medicine 1.2k
  • Physiology 204
  • Hematology 350
  • Pharmaceutical Science 170
Replace J.J.J. van Giezen with:
J.J.J. van Giezen Sweden
Kathleen Butler United States
Zhongren Ding China
G. Defreyn Belgium
Marta Brambilla Italy
Joseph A. Jakubowski United States
Uma Sinha United States
Giuseppe G. Nenci Italy
Artur‐Aron Weber Germany
Francesco Franchi United States
Sven Nylander relative to J.J.J. van Giezen Sweden J.J.J. van Giezen's profile →
Citations per field
00.5×10×13.1×
J.J.J. van Giezen · 1×
Citations per year

Countries citing papers authored by Sven Nylander

Since Specialization
Citations

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

Fields of papers citing papers by Sven Nylander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014241
2 1998196
3 2014192
4 2011180
5 2013152
6 1997134
7 2013127
8 2012104
9 2014103
10 201689
11 201586
12 202080
13 199973
14 201669
15 201564
16 201554
17 201645
18 200345
19 201544
20 200443

About Sven Nylander

Sven Nylander is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Internal Medicine, Surgery and Physiology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (29 papers), Platelet Disorders and Treatments (14 papers), Venous Thromboembolism Diagnosis and Management (12 papers), Heparin-Induced Thrombocytopenia and Thrombosis (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Adenosine and Purinergic Signaling (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Internal Medicine (407 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Physiology (204 citations), Hematology (350 citations) and Pharmaceutical Science (170 citations). Sven Nylander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Rainer Schulz, Marco Cattaneo, Hans Lennernäs, A.‐L. Ungell, Yochai Birnbaum, Yumei Ye, Timothy D. Warner, Carl Whatling, Christer Mattsson and J.J.J. van Giezen. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Thrombosis Research, Journal of the American College of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology and Cardiovascular Drugs and Therapy.

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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