Daniel Eklund

884 citations
33 papers · 628 · h-index 15

Impact in

Papers in

    • Tryptophan and brain disorders 7
    • Immune cells in cancer 5
    • Phagocytosis and Immune Regulation 5
    • Immune Response and Inflammation 3

Daniel Eklund

30 papers receiving 617 citations

Peers

Daniel Eklund
Comparison fields: 5 of 95
  • Biological Psychiatry 36
  • Infectious Diseases 236
  • Immunology 191
  • Epidemiology 150
  • Molecular Medicine 21
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Brenda Noemí Marquina-Castillo Mexico
Nicole C. Howard United States
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Ross McFarland United States
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Cláudia Feriotti Brazil
Neio Boéchat Brazil
Jamin Liu United States
Caitlin N. Russell United States
Luisa Fernanda Duarte Chile
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Eklund

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011110
2 201169
3 201554
4 201347
5 201442
6 201640
7 201035
8 201423
9 201922
10 201222
11 202219
12 201419
13 202018
14 200917
15 202315
16 201712
17 20239
18 20219
19 20218
20 20188

About Daniel Eklund

Daniel Eklund is a scholar working on Biological Psychiatry, Immunology, Infectious Diseases, Molecular Biology and Pathology and Forensic Medicine, having authored 33 papers that have together received 628 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (9 papers), Tuberculosis Research and Epidemiology (8 papers), Tryptophan and brain disorders (7 papers), Immune cells in cancer (5 papers), Phagocytosis and Immune Regulation (5 papers), Immune Response and Inflammation (3 papers), Multiple Sclerosis Research Studies (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Infectious Diseases (236 citations), Immunology (191 citations), Epidemiology (150 citations) and Molecular Medicine (21 citations). Daniel Eklund has collaborated with scholars based in Sweden, Italy and Spain. Frequent co-authors include Maria Lerm, Olle I. Stendahl, Amanda Welin, Eva Särndahl, Johanna Raffetseder, Henrik Andersson, Alexander Persson, Thomas Schön, Robert Blomgran and Mats B. Humble. Their work appears in journals such as PLoS ONE, BMC Psychiatry, Journal of Ethnopharmacology, Schizophrenia Research and Microbial Pathogenesis.

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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