Mark Paetzel
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Genetics top 2%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 19
- Protein Structure and Dynamics 11
- Biochemical and Structural Characterization 8
- Chemical Synthesis and Analysis 7
- Genetics 33
- Bacterial Genetics and Biotechnology 27
- Co-authors
- Ross Dalbey (20 shared papers)N.C.J. Strynadka (19 shared papers)Kelly H. Kim (5 shared papers)Özlem Doǧan Ekici (3 shared papers)Jaeyong Lee (9 shared papers)Malcolm G. P. Page (5 shared papers)David C. Oliver (3 shared papers)Franck Danel (2 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)Biochemistry (11 papers)Journal of Molecular Biology (8 papers)Protein Science (3 papers)Nature (2 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Mark Paetzel
63 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 105
- Molecular Medicine 447
- Genetics 991
- Molecular Biology 2.3k
- Endocrinology 155
- Microbiology 177
Countries citing papers authored by Mark Paetzel
This map shows the geographic impact of Mark Paetzel'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 Mark Paetzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Paetzel more than expected).
Fields of papers citing papers by Mark Paetzel
This network shows the impact of papers produced by Mark Paetzel. 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 Mark Paetzel. The network helps show where Mark Paetzel may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Paetzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 395 | |
| 2 | 2008 | 271 | |
| 3 | 1998 | 263 | |
| 4 | 2001 | 186 | |
| 5 | 2020 | 159 | |
| 6 | 2000 | 141 | |
| 7 | 2000 | 126 | |
| 8 | 1997 | 126 | |
| 9 | 2000 | 112 | |
| 10 | 2012 | 94 | |
| 11 | 2004 | 93 | |
| 12 | 2002 | 87 | |
| 13 | 2010 | 67 | |
| 14 | 2011 | 65 | |
| 15 | 1997 | 65 | |
| 16 | 2013 | 63 | |
| 17 | 2022 | 58 | |
| 18 | 2006 | 57 | |
| 19 | 1995 | 54 | |
| 20 | 2000 | 53 |
About Mark Paetzel
Mark Paetzel is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Oncology and Ecology, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (27 papers), Enzyme Structure and Function (22 papers), RNA and protein synthesis mechanisms (19 papers), Peptidase Inhibition and Analysis (13 papers), Protein Structure and Dynamics (11 papers), Biochemical and Structural Characterization (8 papers), Chemical Synthesis and Analysis (7 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Molecular Medicine (447 citations), Genetics (991 citations), Molecular Biology (2.3k citations), Endocrinology (155 citations) and Microbiology (177 citations). Mark Paetzel has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Ross Dalbey, N.C.J. Strynadka, Kelly H. Kim, Özlem Doǧan Ekici, Jaeyong Lee, Malcolm G. P. Page, David C. Oliver, Franck Danel, William R. Tschantz and M. Vuckovic. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, Protein Science and Nature.
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.