Daniel S. Pilch

4.6k citations
86 papers · 4.2k · h-index 41

Impact in

Papers in

    • 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
    • Antibiotic Resistance in Bacteria 20

Daniel S. Pilch

86 papers receiving 4.0k citations

Peers

Daniel S. Pilch
Comparison fields: 5 of 112
  • Molecular Medicine 384
  • Toxicology 171
  • Molecular Biology 3.3k
  • Organic Chemistry 790
  • Microbiology 135
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Mark R. Sanderson United Kingdom
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Steven L. Roderick United States
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Citations per year

Countries citing papers authored by Daniel S. Pilch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel S. Pilch Line = papers co-authored together Daniel S. Pilch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996175
2 2009162
3 1991157
4 2013149
5 1990138
6 2002129
7 1995119
8 2004110
9 2003109
10 1995107
11 2015106
12 1997103
13 1990102
14 199694
15 200688
16 200083
17 201079
18 199376
19 200670
20 200668

About Daniel S. Pilch

Daniel S. Pilch is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Pharmacology and Infectious Diseases, having authored 86 papers that have together received 4.2k 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 Antibiotics Pharmacokinetics and Efficacy (10 papers). The work is most often cited by research in Molecular Medicine (384 citations), Toxicology (171 citations), Molecular Biology (3.3k citations), Organic Chemistry (790 citations) and Microbiology (135 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 Antimicrobial Agents and Chemotherapy.

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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