Daniel Lundell

4.4k citations
57 papers · 3.4k · h-index 27

Impact in

Papers in

    • Chemokine receptors and signaling 14
    • Cytokine Signaling Pathways and Interactions 7
    • Immune Response and Inflammation 12
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 6

Daniel Lundell

57 papers receiving 3.3k citations

Peers

Daniel Lundell
Comparison fields: 5 of 109
  • Immunology and Allergy 281
  • Immunology 977
  • Oncology 923
  • Pharmacology 527
  • Physiology 130
Replace James D. Clark with:
James D. Clark United States
George P. Livi United States
Lih‐Ling Lin United States
Satwant K. Narula United States
Ronald L. Magolda United States
Marco Falasca Australia
Megan M. McLaughlin United States
Takashi Izumi Japan
Mark E. Goldman United States
Michel Gallant Canada
Daniel Lundell relative to James D. Clark United States James D. Clark's profile →
Citations per field
00.5×1.5×
James D. Clark · 1×
Citations per year

Countries citing papers authored by Daniel Lundell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lundell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999374
2 2000305
3 1995303
4 2009291
5 2009214
6 2006171
7 2010160
8 2006112
9 1997109
10 2007101
11 201274
12 201273
13 198368
14 199164
15 199963
16 200952
17 200351
18 200549
19 200646
20 200946

About Daniel Lundell

Daniel Lundell is a scholar working on Oncology, Immunology, Molecular Biology, Organic Chemistry and Pharmacology, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (14 papers), Immune Response and Inflammation (12 papers), Immunotherapy and Immune Responses (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Cannabis and Cannabinoid Research (7 papers), Immune Cell Function and Interaction (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Immunology and Allergy (281 citations), Immunology (977 citations), Oncology (923 citations), Pharmacology (527 citations) and Physiology (130 citations). Daniel Lundell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Satwant K. Narula, Charles A. Lunn, Xuedong Fan, Waldemar Gonsiorek, R. William Hipkin, James Fossetta, Jay S. Fine, Joseph A. Kozlowski, Mark R. Walter and William T. Windsor. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, ACS Medicinal Chemistry Letters, FEBS Letters and Biochemical and Biophysical Research Communications.

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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