Eva Lindgren

2.0k citations
39 papers · 1.3k indexed · h-index 22
Topics
Adenosine and Purinergic Signaling (14 papers)Neuroscience and Neuropharmacology Research (10 papers)Reproductive Biology and Fertility (8 papers)
Partner nations
SwedenChinaChile

In The Last Decade

Eva Lindgren

39 papers receiving 1.3k citations

Peers

Eva Lindgren
Comparison fields: 5 of 93
  • Molecular Biology 569
  • Cellular and Molecular Neuroscience 373
  • Physiology 358
  • Physiology 340
  • Epidemiology 208
Replace Zhiyuan Zeng with:
Zhiyuan Zeng United States
Liana R. Stein United States
Jonathon M. Willets United Kingdom
Travis C. Jackson United States
Kunio Koshimura Japan
Albino García‐Sacristán Spain
Rosa M. Solano Spain
Pierre‐François Méry France
Douglas C. Eikenburg United States
Claude Chevillard France
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Citations per field
00.5×3.8×
Zhiyuan Zeng · 1×
Citations per year

Countries citing papers authored by Eva Lindgren

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lindgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lindgren

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Lindgren. A scholar is included among the top collaborators of Eva Lindgren 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 Eva Lindgren. Eva Lindgren 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 2
2 11
3 5
4 27
5 8
6 5
7 66
8 22
9 87
10 100
11 32
12 39
13 174
14
Transcription factors in brown adipose tissue recruitment
1
15 1
16
[Ionizing radiation, magnetic fields and cancer in children].
1
17 14
18 27
19 107
20 4

About Eva Lindgren

Eva Lindgren is a scholar working on Physiology, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Reproductive Biology and Fertility (8 papers). The work is most often cited by research in Physiology (358 citations), Cellular and Molecular Neuroscience (373 citations) and Physiology (340 citations). Eva Lindgren has collaborated with scholars based in Sweden, China and Chile. Frequent co-authors include Bertil B. Fredholm, Bror Jonzon, Karin Lindström, Barbara Cannon, Jan Nedergaard, Anders Jacobsson, Nataša Petrovič, Stina Johansson, Jiangning Yang and Andreas W. Herling. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Biochemical Journal.

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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