Larry D. Greller
Impact in
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- Bone health and osteoporosis research
- Modeling and Simulation top 5%
Papers in
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- Protein Structure and Dynamics 5
- Bioinformatics and Genomic Networks 5
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 3
- Machine Learning in Bioinformatics 2
- RNA Research and Splicing 2
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- Nonlinear Dynamics and Pattern Formation 4
- Co-authors
- Frank Tobin (6 shared papers)Carolyn R. Cho (3 shared papers)Larry J. Suva (2 shared papers)Vincent Lemaire (1 shared paper)Roland Somogyi (6 shared papers)Semih Erhan (7 shared papers)Edward A. Wasserman (1 shared paper)George Poste (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (2 papers)Clinical Cancer Research (1 paper)PLoS Medicine (1 paper)Drug Discovery Today (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Larry D. Greller
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Orthopedics and Sports Medicine 170
- Modeling and Simulation 67
- Virology 62
- Immunology 224
- Molecular Biology 666
Countries citing papers authored by Larry D. Greller
This map shows the geographic impact of Larry D. Greller'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 Larry D. Greller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry D. Greller more than expected).
Fields of papers citing papers by Larry D. Greller
This network shows the impact of papers produced by Larry D. Greller. 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 Larry D. Greller. The network helps show where Larry D. Greller may publish in the future.
Co-authors
The 25 scholars most cited alongside Larry D. Greller, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 322 | |
| 2 | 2006 | 179 | |
| 3 | 2004 | 140 | |
| 4 | 1999 | 97 | |
| 5 | 2007 | 83 | |
| 6 | 1989 | 71 | |
| 7 | 1999 | 59 | |
| 8 | Tumor heterogeneity and progression: conceptual foundations for modeling. | 1996 | 56 |
| 9 | 1974 | 44 | |
| 10 | 2001 | 42 | |
| 11 | 1988 | 35 | |
| 12 | 1988 | 29 | |
| 13 | 2005 | 27 | |
| 14 | 1974 | 13 | |
| 15 | 1974 | 10 | |
| 16 | 2008 | 6 | |
| 17 | Towards the Reconstruction of Gene Regulatory Networks | 1999 | 6 |
| 18 | 1977 | 5 | |
| 19 | 2002 | 4 | |
| 20 | 1977 | 4 |
About Larry D. Greller
Larry D. Greller is a scholar working on Molecular Biology, Computer Networks and Communications, Oncology, Spectroscopy and Statistical and Nonlinear Physics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Bioinformatics and Genomic Networks (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Gene Regulatory Network Analysis (3 papers), Machine Learning in Bioinformatics (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (170 citations), Modeling and Simulation (67 citations), Virology (62 citations), Immunology (224 citations) and Molecular Biology (666 citations). Larry D. Greller has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Frank Tobin, Carolyn R. Cho, Larry J. Suva, Vincent Lemaire, Roland Somogyi, Semih Erhan, Edward A. Wasserman, George Poste, Rafick‐Pierre Sékaly and Mark J. Cameron. Their work appears in journals such as Bulletin of Mathematical Biology, Clinical Cancer Research, PLoS Medicine, Drug Discovery Today and Journal of Theoretical Biology.
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.