David Rabuka

4.1k citations
60 papers · 3.6k · h-index 32

Impact in

Papers in

David Rabuka

60 papers receiving 3.4k citations

Peers

David Rabuka
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Organic Chemistry 1.2k
  • Oncology 1.1k
  • Molecular Biology 2.2k
  • Immunology and Allergy 124
Replace Changshou Gao with:
Changshou Gao United States
Kerry Chester United Kingdom
Nicholas J. Agard United States
Greg M. Thurber United States
Stephen C. Alley United States
Vijay Chudasama United Kingdom
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David Rabuka relative to Changshou Gao United States Changshou Gao's profile →
Citations per field
00.5×2×3×3.6×
Changshou Gao · 1×
Citations per year

Countries citing papers authored by David Rabuka

Since Specialization
Citations

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

Fields of papers citing papers by David Rabuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001307
2 2006260
3 2012217
4 2009212
5 2014183
6 2008178
7 2012177
8 2006147
9 2013137
10 2012136
11 2009128
12 2010103
13 201788
14 200281
15 201765
16 201759
17 201559
18 201559
19 200458
20 201557

About David Rabuka

David Rabuka is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Oncology and Cell Biology, having authored 60 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (29 papers), Glycosylation and Glycoproteins Research (17 papers), Chemical Synthesis and Analysis (16 papers), HER2/EGFR in Cancer Research (15 papers), Click Chemistry and Applications (13 papers), Carbohydrate Chemistry and Synthesis (13 papers), Peptidase Inhibition and Analysis (12 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Organic Chemistry (1.2k citations), Oncology (1.1k citations), Molecular Biology (2.2k citations) and Immunology and Allergy (124 citations). David Rabuka has collaborated with scholars based in United States, Singapore and Russia. Frequent co-authors include Carolyn R. Bertozzi, Penelope M. Drake, Robyn M. Barfield, Peng Wu, Jay T. Groves, Paresh Agarwal, Lesley Jones, Romas Kudirka, Martin B. Forstner and Xing Chen. Their work appears in journals such as Journal of the American Chemical Society, Bioconjugate Chemistry, Angewandte Chemie International Edition, Antibodies and mAbs.

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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