Daniel E. Croker
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
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- Complement system in diseases
Papers in
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- Receptor Mechanisms and Signaling 6
- Nicotinic Acetylcholine Receptors Study 3
- Peroxisome Proliferator-Activated Receptors 1
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- Complement system in diseases 5
- Co-authors
- Matthew A. Cooper (8 shared papers)Reena Halai (7 shared papers)Paul F. Alewood (5 shared papers)Richard J. Lewis (5 shared papers)Geraldine Kaeslin (3 shared papers)David P. Fairlie (3 shared papers)Peter N. Monk (3 shared papers)Elka Palant (2 shared papers)
- Journals
- Immunology and Cell Biology (3 papers)Journal of Medicinal Chemistry (2 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)Immunobiology (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Daniel E. Croker
13 papers receiving 471 citations
Peers
Comparison fields: 5 of 70
- Physiology 41
- Immunology 179
- Cellular and Molecular Neuroscience 114
- Molecular Biology 300
- Nephrology 20
Countries citing papers authored by Daniel E. Croker
This map shows the geographic impact of Daniel E. Croker'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 E. Croker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Croker more than expected).
Fields of papers citing papers by Daniel E. Croker
This network shows the impact of papers produced by Daniel E. Croker. 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 E. Croker. The network helps show where Daniel E. Croker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Croker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 73 | |
| 2 | 2009 | 71 | |
| 3 | 2016 | 61 | |
| 4 | 2014 | 59 | |
| 5 | 2003 | 53 | |
| 6 | 2013 | 46 | |
| 7 | 2016 | 42 | |
| 8 | 2016 | 33 | |
| 9 | 2014 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2018 | 6 | |
| 12 | 2012 | 2 | |
| 13 | Discovery and pharmacology of conopressin-T, a novel vasopressin-like peptide from Conus tulipa. | 2006 | 2 |
About Daniel E. Croker
Daniel E. Croker is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Hematology and Social Psychology, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Complement system in diseases (5 papers), Neuropeptides and Animal Physiology (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Neuroendocrine regulation and behavior (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Physiology (41 citations), Immunology (179 citations), Cellular and Molecular Neuroscience (114 citations), Molecular Biology (300 citations) and Nephrology (20 citations). Daniel E. Croker has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Matthew A. Cooper, Reena Halai, Paul F. Alewood, Richard J. Lewis, Geraldine Kaeslin, David P. Fairlie, Peter N. Monk, Elka Palant, Dianne Alewood and Barbara Colless. Their work appears in journals such as Immunology and Cell Biology, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Scientific Reports and Immunobiology.
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.