David DeCaprio

10.3k total citations
8 papers, 439 citations indexed

About

David DeCaprio is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, David DeCaprio has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Plant Science. Recurrent topics in David DeCaprio's work include Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers) and Clinical practice guidelines implementation (1 paper). David DeCaprio is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers) and Clinical practice guidelines implementation (1 paper). David DeCaprio collaborates with scholars based in United States. David DeCaprio's co-authors include Lakshmi B. Akella, James E. Galagan, Bruce W. Birren, Nabil Hafez, Nicole Stange-Thomann, Jonathan A. Butler, George M. Church, Michael G. FitzGerald, Jane Wilkinson and Robert Nicol and has published in prestigious journals such as Bioinformatics, Diabetes and Genetics.

In The Last Decade

David DeCaprio

8 papers receiving 429 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David DeCaprio United States	7	246	104	101	88	64	8	439
Goran Neshich Brazil	19	536 2.2×	34 0.3×	36 0.4×	108 1.2×	87 1.4×	48	756
C. Lachaize Switzerland	4	540 2.2×	17 0.2×	70 0.7×	89 1.0×	29 0.5×	4	699
Tobias Hamp Germany	8	585 2.4×	20 0.2×	43 0.4×	93 1.1×	77 1.2×	10	776
Peter Hönigschmid Germany	8	435 1.8×	23 0.2×	39 0.4×	77 0.9×	29 0.5×	9	650
Jinrui Xu United States	6	652 2.7×	14 0.1×	39 0.4×	90 1.0×	86 1.3×	18	817
Mst. Shamima Khatun Japan	17	804 3.3×	128 1.2×	24 0.2×	56 0.6×	52 0.8×	26	912
Benjamin Chagot France	17	674 2.7×	44 0.4×	43 0.4×	39 0.4×	12 0.2×	26	849
Konstantinos Michalodimitrakis Germany	6	841 3.4×	70 0.7×	122 1.2×	68 0.8×	21 0.3×	6	1.0k
Guillaume Postic France	12	360 1.5×	28 0.3×	36 0.4×	26 0.3×	23 0.4×	27	436
Jonathan R. Heal United Kingdom	13	371 1.5×	36 0.3×	145 1.4×	29 0.3×	36 0.6×	16	674

Countries citing papers authored by David DeCaprio

Since Specialization

Citations

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

Fields of papers citing papers by David DeCaprio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David DeCaprio

This figure shows the co-authorship network connecting the top 25 collaborators of David DeCaprio. A scholar is included among the top collaborators of David DeCaprio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David DeCaprio. David DeCaprio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Kermani, Asra, Michael E. Bowen, Jaime P. Almandoz, et al.. (2023). 1036-P: Developing an Explainable AI Model to Identify Members with Diabetes at High Risk for Worsening Glycemic Control in a Large Accountable Care Network (ACN). Diabetes. 72(Supplement_1). 1 indexed citations

2.

Xing, Heming, Paul McDonagh, Jadwiga Biénkowska, et al.. (2011). Causal Modeling Using Network Ensemble Simulations of Genetic and Gene Expression Data Predicts Genes Involved in Rheumatoid Arthritis. PLoS Computational Biology. 7(3). e1001105–e1001105. 32 indexed citations

3.

Akella, Lakshmi B. & David DeCaprio. (2010). Cheminformatics approaches to analyze diversity in compound screening libraries. Current Opinion in Chemical Biology. 14(3). 325–330. 73 indexed citations

4.

Shi, Mi, William J. Belden, David DeCaprio, et al.. (2008). A High-Density Single Nucleotide Polymorphism Map for Neurospora crassa. Genetics. 181(2). 767–781. 46 indexed citations

5.

Seiler, Kathleen Petri, Kathleen Kuehn, Mary Pat Happ, David DeCaprio, & Paul A. Clemons. (2008). Using ChemBank to Probe Chemical Biology. Current Protocols in Bioinformatics. 22(1). 14.5.1–14.5.26. 6 indexed citations

6.

DeCaprio, David, et al.. (2007). Conrad: Gene prediction using conditional random fields. Genome Research. 17(9). 1389–1398. 47 indexed citations

7.

Engels, Reinhard, et al.. (2006). Combo: a whole genome comparative browser. Bioinformatics. 22(14). 1782–1783. 33 indexed citations

8.

Jaffe, Jacob D., Nicole Stange-Thomann, David DeCaprio, et al.. (2004). The Complete Genome and Proteome of Mycoplasma mobile. Genome Research. 14(8). 1447–1461. 201 indexed citations

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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