David No

25 papers receiving 1.3k citations

David No's Hit Papers

Ecdysone-inducible gene expression in mammalian cells and transgenic mice. 1996 · 681 citations
6810+10+20Years since publication200400600

Peers

David No
Comparison fields: 5 of 104
  • Clinical Biochemistry 168
  • Infectious Diseases 346
  • Molecular Medicine 83
  • Genetics 377
  • Molecular Biology 845
Replace Yael Costa with:
Yael Costa United Kingdom
Mami Hata Japan
Isabelle Rosinski‐Chupin France
Sarah Denayer Belgium
Qin Yan China
Ichiro Tatsuno Japan
Masami Miyake Japan
Michael L. Pendrak United States
Carol L. Farr United States
David No relative to Yael Costa United Kingdom Yael Costa's profile →
Citations per field
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Yael Costa · 1×
Citations per year

Countries citing papers authored by David No

Since Specialization
Citations

This map shows the geographic impact of David No'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 No with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David No more than expected).

Fields of papers citing papers by David No

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David No. 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 No. The network helps show where David No may publish in the future.

Co-authors

The 25 scholars most cited alongside David No, 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 No Line = papers co-authored together David No links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ecdysone-inducible gene expression in mammalian cells and transgenic mice.
Hit paper breakdown →
1996681
2 199794
3 200985
4 201139
5 201337
6 201635
7 200834
8 201633
9 201132
10 201030
11 201128
12 200426
13 201826
14 201620
15 201820
16 201915
17 201413
18 201313
19 201612
20 20167

About David No

David No is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial Identification and Susceptibility Testing (9 papers), Bacterial biofilms and quorum sensing (8 papers), Acne and Rosacea Treatments and Effects (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers), Urinary Bladder and Prostate Research (2 papers) and Chemotherapy-related skin toxicity (2 papers). The work is most often cited by research in Clinical Biochemistry (168 citations), Infectious Diseases (346 citations), Molecular Medicine (83 citations), Genetics (377 citations) and Molecular Biology (845 citations). David No has collaborated with scholars based in United States, Nepal and Germany. Frequent co-authors include Ronald M. Evans, Tianliang Yao, Marilyn C. Roberts, Olusegun O. Soge, John Scott Meschke, Andrew B. West, Nicola K. Beck, Vera A. Chotzen, Suzanne L. Kilmer and Tiffany White. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Dermatologic Surgery, American Journal of Infection Control, FEMS Microbiology Ecology and Journal of Applied Microbiology.

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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