Daniel Crean

1.3k citations
33 papers · 889 · h-index 16

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Macrophage Migration Inhibitory Factor
    • Atherosclerosis and Cardiovascular Diseases
    • Cancer, Hypoxia, and Metabolism

Papers in

Daniel Crean

33 papers receiving 881 citations

Peers

Daniel Crean
Comparison fields: 5 of 105
  • Immunology 319
  • Cancer Research 157
  • Cellular and Molecular Neuroscience 141
  • Molecular Biology 323
  • Physiology 18
Replace Sang Doo Kim with:
Sang Doo Kim South Korea
Antonio Tugores Spain
Meimei Yin United States
Russell S. Whelan United States
Manjula Karpurapu United States
Zsuzsanna Nagy United States
Ying Yan China
César Fandos Spain
Yi Xie China
Patrícia Dillenburg-Pilla Brazil
Daniel Crean relative to Sang Doo Kim South Korea Sang Doo Kim's profile →
Citations per field
00.5×2.8×
Sang Doo Kim · 1×
Citations per year

Countries citing papers authored by Daniel Crean

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Crean, 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 Crean Line = papers co-authored together Daniel Crean 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 2016132
2 2016121
3 201766
4 201063
5 201561
6 201661
7 202152
8 201540
9 201734
10 201433
11 201329
12 201923
13 201422
14 201520
15 201218
16 201816
17 201215
18 202114
19 20239
20 20149

About Daniel Crean

Daniel Crean is a scholar working on Immunology, Cellular and Molecular Neuroscience, Cancer Research, Molecular Biology and Surgery, having authored 33 papers that have together received 889 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (12 papers), Macrophage Migration Inhibitory Factor (11 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immune cells in cancer (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Adenosine and Purinergic Signaling (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Immunology (319 citations), Cancer Research (157 citations), Cellular and Molecular Neuroscience (141 citations), Molecular Biology (323 citations) and Physiology (18 citations). Daniel Crean has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Eoin P. Cummins, Evelyn P. Murphy, Orina Belton, Mary Barry, Monica de Gaetano, Cormac T. Taylor, Ciara E. Keogh, Catherine Godson, Paul Jennings and Martin O. Leonard. Their work appears in journals such as Frontiers in Immunology, Toxicology in Vitro, Molecular and Cellular Biochemistry, The Journal of Immunology 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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