Sven Valind

1.8k citations
40 papers · 1.3k indexed · h-index 21

Sven Valind

40 papers receiving 1.3k citations

Peers

Sven Valind
Comparison fields: 5 of 122
  • Pulmonary and Respiratory Medicine 375
  • Neurology 173
  • Hematology 110
  • Radiology, Nuclear Medicine and Imaging 204
  • Cardiology and Cardiovascular Medicine 200
Replace Harald Bode with:
Harald Bode Germany
Warren May United States
Dana Leifer United States
Sidhartha Tan United States
Thomas J. DeGraba United States
Geoff Charles‐Edwards United Kingdom
Wolfgang Reith Germany
Anne Ebert Germany
Marileen L.P. Portegies Netherlands
Thomas F. Floyd United States
Sven Valind relative to Harald Bode Germany Harald Bode's profile →
Citations per field
00.5×1.5×2.3×
Harald Bode · 1×
Citations per year

Countries citing papers authored by Sven Valind

Since Specialization
Citations

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

Fields of papers citing papers by Sven Valind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201310
2 20121
3 201017
4 200611
5
Sensed presence and mystical experiences are predicted by suggestibility, not by the application of weak complex transcranial magnetic fields
20056
6 20057
7 20059
8 200231
9 200134
10 200113
11 200056
12 199962
13 199971
14 199929
15 199913
16 199743
17 199725
18 199621
19 199414
20 199430

About Sven Valind

Sven Valind is a scholar working on Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Physiology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Advanced MRI Techniques and Applications (6 papers), Metabolism and Genetic Disorders (4 papers), Cardiac Imaging and Diagnostics (4 papers), Diet and metabolism studies (4 papers), Mitochondrial Function and Pathology (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (375 citations), Neurology (173 citations), Hematology (110 citations), Radiology, Nuclear Medicine and Imaging (204 citations) and Cardiology and Cardiovascular Medicine (200 citations). Sven Valind has collaborated with scholars based in Sweden, Japan and United Kingdom. Frequent co-authors include Bengt Långström, Lars Janzon, Bo Hedblad, Gunnar Engström, Per Wollmer, Gunnar Antoni, Anders Lilja, Jesper Andersson, Gunnar Sturfelt and Ola Nived. Their work appears in journals such as Nuclear Medicine and Biology, British Journal of Haematology, Journal of Hypertension, Journal of Cerebral Blood Flow & Metabolism and Clinical Physiology and Functional Imaging.

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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