Annika Svensson

527 citations
33 papers · 400 indexed · h-index 13

Annika Svensson

31 papers receiving 384 citations

Peers

Annika Svensson
Comparison fields: 5 of 96
  • Surgery 171
  • Endocrinology, Diabetes and Metabolism 109
  • Genetics 79
  • Molecular Biology 64
  • Physiology 49
Replace María Victoria Monsalve with:
María Victoria Monsalve Canada
Jihua Wu China
Meredith A. Bostrom United States
G Giovannelli Italy
F. E. Loeffler United Kingdom
Michael M. Friedlaender Israel
J. Kliment Slovakia
H. K. A. Visser Netherlands
P. G. Walfish Canada
H. Lorraine Thompson United States
Annika Svensson relative to María Victoria Monsalve Canada María Victoria Monsalve's profile →
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Citations per year

Countries citing papers authored by Annika Svensson

Since Specialization
Citations

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

Fields of papers citing papers by Annika Svensson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Svensson

This figure shows the co-authorship network connecting the top 25 collaborators of Annika Svensson. A scholar is included among the top collaborators of Annika Svensson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annika Svensson. Annika Svensson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 16
3 13
4 1
5 7
6 2
7 5
8 11
9 1
10 8
11
Luftföroreningar i skogliga provytor : Resultat till och med september 2005
3
12 6
13 12
14 5
15
Nationell miljöövervakning av luft- och nederbördskemi 1997,1998 och 1999
4
16 17
17 14
18 17
19 34
20 10

About Annika Svensson

Annika Svensson is a scholar working on Health Informatics, Hematology and Process Chemistry and Technology, having authored 33 papers that have together received 400 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Botany and Plant Ecology Studies (3 papers). The work is most often cited by research in Health Informatics (11 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Hematology (46 citations). Annika Svensson has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Leif Jansson, Claes‐Göran Östenson, Suad Efendić, Karin Sjöberg, Fabrice Jotterand, Gunilla Pihl Karlsson, Robert L. Sorenson, Nicholas Bhagroo, T. Clark Brelje and Laurence E. Stout. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism and European Journal of Pharmacology.

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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