Daniel G. Brenner

25 papers receiving 808 citations

Peers

Daniel G. Brenner
Comparison fields: 5 of 92
  • Molecular Medicine 151
  • Radiology, Nuclear Medicine and Imaging 242
  • Molecular Biology 505
  • Immunology 147
  • Biotechnology 55
Replace Edoardo Sarubbi with:
Edoardo Sarubbi Italy
Beat Wipf Switzerland
Sanjay S. Khandekar United States
Mei-Chu Lo United States
John E. Mott United States
Jaehoon Yu South Korea
Roger Camble United Kingdom
Solmaz Sobhanifar Canada
Marc Vanhove Belgium
James Wells United States
Daniel G. Brenner relative to Edoardo Sarubbi Italy Edoardo Sarubbi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel G. Brenner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Brenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Brenner. 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 Daniel G. Brenner. The network helps show where Daniel G. Brenner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994272
2 1981100
3 198575
4 198966
5 198561
6 199357
7 197957
8 198449
9
Effects of recombinant neutral endopeptidase (EC 3.4.24.11) on the growth of lung cancer cell lines in vitro and in vivo.
199834
10 198529
11 198528
12 198427
13 199518
14 201714
15 198210
16 19864
17 20154
18 19863
19 19853
20 20143

About Daniel G. Brenner

Daniel G. Brenner is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Developmental and Educational Psychology and Pharmacology, having authored 28 papers that have together received 922 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Chemical synthesis and alkaloids (4 papers), Educational Games and Gamification (3 papers), Innovative Teaching and Learning Methods (3 papers), Transgenic Plants and Applications (3 papers), Teaching and Learning Programming (3 papers), RNA and protein synthesis mechanisms (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Molecular Medicine (151 citations), Radiology, Nuclear Medicine and Imaging (242 citations), Molecular Biology (505 citations), Immunology (147 citations) and Biotechnology (55 citations). Daniel G. Brenner has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jeremy R. Knowles, William V. Shaw, Grety Rihs, Sue Lin‐Chao, Aya Jakobovits, Stanley N. Cohen, Joshua Boger, Kenneth L. Shepard, Hirohisa Tsuda and Dan Garza. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, The Journal of Organic Chemistry, Current topics in cellular regulation and Journal of the American Chemical Society.

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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