Danny Fuller
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Cell Adhesion Molecules Research 6
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- Slime Mold and Myxomycetes Research 17
- Co-authors
- William F. Loomis (24 shared papers)Negin Iranfar (9 shared papers)Gad Shaulsky (3 shared papers)Christophe Anjard (2 shared papers)Vivek Malhotra (1 shared paper)Gianni Guizzunti (1 shared paper)Wouter‐Jan Rappel (4 shared papers)David A. Knecht (2 shared papers)
- Journals
- Developmental Biology (5 papers)Eukaryotic Cell (4 papers)Development (3 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanySlovenia
In The Last Decade
Danny Fuller
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Cell Biology 341
- Immunology and Allergy 83
- Biomedical Engineering 607
- Molecular Biology 841
- Modeling and Simulation 43
Countries citing papers authored by Danny Fuller
This map shows the geographic impact of Danny Fuller'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 Danny Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Fuller more than expected).
Fields of papers citing papers by Danny Fuller
This network shows the impact of papers produced by Danny Fuller. 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 Danny Fuller. The network helps show where Danny Fuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Fuller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 210 | |
| 2 | 2010 | 149 | |
| 3 | 1998 | 136 | |
| 4 | 2010 | 116 | |
| 5 | 1999 | 87 | |
| 6 | 2000 | 87 | |
| 7 | 2003 | 83 | |
| 8 | 2003 | 82 | |
| 9 | 1987 | 76 | |
| 10 | 2002 | 59 | |
| 11 | 2015 | 59 | |
| 12 | 2012 | 55 | |
| 13 | 2001 | 49 | |
| 14 | 2006 | 41 | |
| 15 | 2004 | 35 | |
| 16 | 2004 | 33 | |
| 17 | 1996 | 23 | |
| 18 | 2014 | 22 | |
| 19 | 1990 | 19 | |
| 20 | 1994 | 18 |
About Danny Fuller
Danny Fuller is a scholar working on Immunology and Allergy, Biomedical Engineering, Molecular Biology, Cell Biology and Modeling and Simulation, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (17 papers), Developmental Biology and Gene Regulation (13 papers), Cell Adhesion Molecules Research (6 papers), Cellular Mechanics and Interactions (4 papers), Mathematical Biology Tumor Growth (2 papers), Gene Regulatory Network Analysis (2 papers), Advanced Cellulose Research Studies (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cell Biology (341 citations), Immunology and Allergy (83 citations), Biomedical Engineering (607 citations), Molecular Biology (841 citations) and Modeling and Simulation (43 citations). Danny Fuller has collaborated with scholars based in United States, Germany and Slovenia. Frequent co-authors include William F. Loomis, Negin Iranfar, Gad Shaulsky, Christophe Anjard, Vivek Malhotra, Gianni Guizzunti, Wouter‐Jan Rappel, David A. Knecht, Alex Groisman and Mariko Katoh‐Kurasawa. Their work appears in journals such as Developmental Biology, Eukaryotic Cell, Development, Proceedings of the National Academy of Sciences and PLoS ONE.
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.