Daniel S. Pilch
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Toxicology top 1%
Papers in
-
- Antibiotic Resistance in Bacteria 20
-
- DNA and Nucleic Acid Chemistry 37
- RNA and protein synthesis mechanisms 23
- Cancer therapeutics and mechanisms 21
- Advanced biosensing and bioanalysis techniques 20
- RNA Interference and Gene Delivery 12
- Co-authors
- Malvika KaulEdmond J. LaVoieChristopher M. BarbieriKenneth J. BreslauerRichard H. ShaferAjit K. ParhiJohn E. KerriganLeroy F. Liu
- Journals
- Biochemistry (12 papers)Bioorganic & Medicinal Chemistry Letters (10 papers)Journal of Molecular Biology (7 papers)Journal of the American Chemical Society (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Daniel S. Pilch
85 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 370
- Toxicology 159
- Molecular Biology 3.2k
- Organic Chemistry 777
- Microbiology 132
Countries citing papers authored by Daniel S. Pilch
This map shows the geographic impact of Daniel S. Pilch'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 S. Pilch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Pilch more than expected).
Fields of papers citing papers by Daniel S. Pilch
This network shows the impact of papers produced by Daniel S. Pilch. 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 S. Pilch. The network helps show where Daniel S. Pilch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Pilch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 18 | |
| 3 | 2019 | 9 | |
| 4 | 2014 | 14 | |
| 5 | 2013 | 14 | |
| 6 | 2013 | 44 | |
| 7 | 2013 | 145 | |
| 8 | 2012 | 32 | |
| 9 | 2012 | 55 | |
| 10 | 2012 | 21 | |
| 11 | 2010 | 22 | |
| 12 | 2008 | 53 | |
| 13 | 2007 | 62 | |
| 14 | 2007 | 13 | |
| 15 | 2007 | 50 | |
| 16 | 2006 | 67 | |
| 17 | 2006 | 12 | |
| 18 | 2003 | 103 | |
| 19 | 2000 | 50 | |
| 20 | 1995 | 106 |
About Daniel S. Pilch
Daniel S. Pilch is a scholar working on Molecular Medicine, Molecular Biology, Pharmacology, Toxicology and Infectious Diseases, having authored 86 papers that have together received 4.0k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (37 papers), RNA and protein synthesis mechanisms (23 papers), Cancer therapeutics and mechanisms (21 papers), Antibiotic Resistance in Bacteria (20 papers), Advanced biosensing and bioanalysis techniques (20 papers), Bacterial Genetics and Biotechnology (17 papers), RNA Interference and Gene Delivery (12 papers) and Antimicrobial Resistance in Staphylococcus (10 papers). The work is most often cited by research in Molecular Medicine (370 citations), Toxicology (159 citations), Molecular Biology (3.2k citations), Organic Chemistry (777 citations) and Microbiology (132 citations). Daniel S. Pilch has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Malvika Kaul, Edmond J. LaVoie, Christopher M. Barbieri, Kenneth J. Breslauer, Richard H. Shafer, Ajit K. Parhi, John E. Kerrigan, Leroy F. Liu, Georg Plum and Joseph E. Rice. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Biology, Journal of the American Chemical Society and Proceedings of the National Academy of Sciences.
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.