David LaRocca

1.4k citations
49 papers · 1.1k · h-index 16

Impact in

Papers in

David LaRocca

43 papers receiving 1.1k citations

Peers

David LaRocca
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 364
  • Ecology 281
  • Immunology 197
  • Molecular Biology 627
  • Agronomy and Crop Science 91
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Wolf Prensky United States
Keizaburo Miki Japan
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Chen Gu China
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Warren K. Hoeffler United States
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Citations per field
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Citations per year

Countries citing papers authored by David LaRocca

Since Specialization
Citations

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

Fields of papers citing papers by David LaRocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David LaRocca, 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 David LaRocca Line = papers co-authored together David LaRocca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989125
2 1999116
3
A Mr 46,000 human milk fat globule protein that is highly expressed in human breast tumors contains factor VIII-like domains.
1991105
4 199898
5 200273
6 200166
7 199963
8 199457
9 201052
10 197741
11 200139
12 200436
13
Enhanced phagemid particle gene transfer in camptothecin-treated carcinoma cells.
200235
14 200828
15 200225
16 201622
17 200416
18
Cloning and sequencing of a complementary DNA encoding a Mr 70,000 human breast epithelial mucin-associated antigen.
199014
19 202412
20 199212

About David LaRocca

David LaRocca is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Ecology, Immunology and Philosophy, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Bacteriophages and microbial interactions (9 papers), Glycosylation and Glycoproteins Research (8 papers), Virus-based gene therapy research (6 papers), Pluripotent Stem Cells Research (5 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (364 citations), Ecology (281 citations), Immunology (197 citations), Molecular Biology (627 citations) and Agronomy and Crop Science (91 citations). David LaRocca has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Andrew Baird, Michael A. Burg, Glenn F. Pierce, Kristen Jensen-Pergakes, Jerry A. Peterson, Paul D. Kassner, Marian H. Seto, Terence K. Brunck, Roberto Ceriani and Richard S. Wodzinski. Their work appears in journals such as Regenerative Medicine, Biochemical and Biophysical Research Communications, Applied and Environmental Microbiology, International Journal of Molecular Sciences and Journal of Molecular 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.

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