Daniel P. Becker

79 papers receiving 1.9k citations

Daniel P. Becker's Hit Papers

Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication 2010 · 598 citations
5980+5+10Years since publication100200300400500

Peers

Daniel P. Becker
Comparison fields: 5 of 112
  • Organic Chemistry 601
  • Cancer Research 200
  • Immunology 259
  • Pharmaceutical Science 76
  • Oncology 309
Replace Armando G. Villaseñor with:
Armando G. Villaseñor United States
Stephen L. Brand United Kingdom
Huchen Zhou China
Donna M. Neumann United States
Paul J. Berti Canada
Jennifer E. Golden United States
Giovanni Abbenante Australia
Carston R. Wagner United States
Martin D. Witte Netherlands
Radhakrishnan P. Iyer United States
Daniel P. Becker relative to Armando G. Villaseñor United States Armando G. Villaseñor's profile →
Citations per field
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Armando G. Villaseñor · 1×
Citations per year

Countries citing papers authored by Daniel P. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication
Hit paper breakdown →
2010598
2 201093
3 199279
4 201259
5 200555
6 198552
7 198749
8 201941
9 200941
10 200638
11 200132
12 201631
13 202131
14 201329
15 202228
16 201228
17 199328
18 199328
19 200025
20 202024

About Daniel P. Becker

Daniel P. Becker is a scholar working on Oncology, Organic Chemistry, Molecular Biology, Cancer Research and Pharmaceutical Science, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (24 papers), Enzyme Structure and Function (11 papers), Biochemical and Molecular Research (10 papers), Chemical Synthesis and Analysis (9 papers), Protease and Inhibitor Mechanisms (8 papers), Synthetic Organic Chemistry Methods (7 papers), Signaling Pathways in Disease (5 papers) and Asymmetric Synthesis and Catalysis (5 papers). The work is most often cited by research in Organic Chemistry (601 citations), Cancer Research (200 citations), Immunology (259 citations), Pharmaceutical Science (76 citations) and Oncology (309 citations). Daniel P. Becker has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Daniel Lee Flynn, Richard C. Holz, Yujin Shin, Elke Müller, Lesley Ann Ogilvie, Simone Heß, Thomas F. Meyer, Anita Artarini, Hany Khalil and Nikolaus Machuy. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and The Journal of Organic Chemistry.

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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