Larry D. Greller

2.7k citations
27 papers · 1.3k · h-index 14

Impact in

Papers in

    • Bioinformatics and Genomic Networks 6
    • Protein Structure and Dynamics 5
    • Gene Regulatory Network Analysis 4
    • Glycosylation and Glycoproteins Research 3
    • RNA and protein synthesis mechanisms 3
    • Nonlinear Dynamics and Pattern Formation 5

Larry D. Greller

26 papers receiving 1.3k citations

Peers

Larry D. Greller
Comparison fields: 5 of 131
  • Orthopedics and Sports Medicine 180
  • Modeling and Simulation 72
  • Virology 57
  • Immunology 211
  • Molecular Biology 677
Replace Subrata Ghosh with:
Subrata Ghosh India
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Citations per field
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Citations per year

Countries citing papers authored by Larry D. Greller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Larry D. Greller Line = papers co-authored together Larry D. Greller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004355
2 2006184
3 2004152
4 1999100
5 200788
6 198973
7 199963
8
Tumor heterogeneity and progression: conceptual foundations for modeling.
199659
9 197446
10 200144
11 198841
12 198835
13 200530
14 197413
15 197410
16
Towards the Reconstruction of Gene Regulatory Networks
19996
17 19926
18 20086
19 20026
20 19775

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 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Gene Regulatory Network Analysis (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (180 citations), Modeling and Simulation (72 citations), Virology (57 citations), Immunology (211 citations) and Molecular Biology (677 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, Peter Wilkinson and Rafick‐Pierre Sékaly. Their work appears in journals such as Bulletin of Mathematical Biology, Clinical Cancer Research, The Journal of Physical Chemistry, The Journal of Chemical Physics and Genome Research.

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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