Timothy Palzkill

179 papers receiving 6.7k citations

Timothy Palzkill's Hit Papers

Transmissible SARS-CoV-2 variants with resistance to clinical protease inhibitors 2023 · 94 citations
940+1+2Years since publication255075

Peers

Timothy Palzkill
Comparison fields: 5 of 144
  • Molecular Medicine 2.9k
  • Endocrinology 780
  • Applied Microbiology and Biotechnology 236
  • Pharmacology 1.1k
  • Microbiology 397
Replace Klaas M. Pos with:
Klaas M. Pos Germany
Lynn L. Silver United States
Helen I. Zgurskaya United States
Karen Joy Shaw United States
Taiji Nakae Japan
Brian K. Coombes Canada
Moreno Galleni Belgium
Athanasios Typas Germany
Deborah T. Hung United States
P. Charlier Belgium
Timothy Palzkill relative to Klaas M. Pos Germany Klaas M. Pos's profile →
Citations per field
00.5×2.8×
Klaas M. Pos · 1×
Citations per year

Countries citing papers authored by Timothy Palzkill

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Palzkill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Palzkill. 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 Timothy Palzkill. The network helps show where Timothy Palzkill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012398
2 1988172
3 1992170
4 1996146
5 2014144
6 2018137
7 2002136
8 1997126
9 2014113
10 2017109
11 1991104
12 2000103
13 201198
14 201696
15 200795
16
Transmissible SARS-CoV-2 variants with resistance to clinical protease inhibitors
Hit paper breakdown →
202394
17 200889
18 201586
19 200885
20 199682

About Timothy Palzkill

Timothy Palzkill is a scholar working on Molecular Medicine, Molecular Biology, Genetics, Infectious Diseases and Pharmacology, having authored 180 papers that have together received 6.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (98 papers), Antibiotics Pharmacokinetics and Efficacy (26 papers), Bacterial Genetics and Biotechnology (23 papers), Vibrio bacteria research studies (17 papers), Viral gastroenteritis research and epidemiology (17 papers), Bacteriophages and microbial interactions (15 papers), Animal Virus Infections Studies (14 papers) and Plant Pathogenic Bacteria Studies (14 papers). The work is most often cited by research in Molecular Medicine (2.9k citations), Endocrinology (780 citations), Applied Microbiology and Biotechnology (236 citations), Pharmacology (1.1k citations) and Microbiology (397 citations). Timothy Palzkill has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Wanzhi Huang, Joseph F. Petrosino, B. V. Venkataram Prasad, Nicholas G. Brown, Carlos Cantu, Banumathi Sankaran, David Botstein, Dar‐Chone Chow, George M. Weinstock and Liya Hu. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, PLoS ONE, Protein Engineering Design and Selection and Journal of Bacteriology.

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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