J.M. Sauder
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
Papers in
-
- Protein Structure and Dynamics 11
- RNA and protein synthesis mechanisms 6
- Glycosylation and Glycoproteins Research 5
- Biochemical and Molecular Research 5
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- Enzyme Structure and Function 21
- Co-authors
- S.K. Burley (33 shared papers)Steven C. Almo (19 shared papers)Roland L. Dunbrack (4 shared papers)Jonathan W. Arthur (2 shared papers)J.B. Bonanno (9 shared papers)Heinrich Röder (4 shared papers)U.A. Ramagopal (3 shared papers)Marek Basler (1 shared paper)
- Journals
- Biochemistry (14 papers)Journal of Molecular Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Structure (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
J.M. Sauder
52 papers receiving 2.5k citations
J.M. Sauder's Hit Papers
Peers
Comparison fields: 5 of 107
- Endocrinology 431
- Molecular Medicine 172
- Molecular Biology 1.7k
- Genetics 301
- Pulmonary and Respiratory Medicine 297
Countries citing papers authored by J.M. Sauder
This map shows the geographic impact of J.M. Sauder'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 J.M. Sauder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Sauder more than expected).
Fields of papers citing papers by J.M. Sauder
This network shows the impact of papers produced by J.M. Sauder. 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 J.M. Sauder. The network helps show where J.M. Sauder may publish in the future.
Co-authors
The 25 scholars most cited alongside J.M. Sauder, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary origin Hit paper breakdown → | 2009 | 527 |
| 2 | 2012 | 269 | |
| 3 | 2004 | 237 | |
| 4 | 2000 | 206 | |
| 5 | 2009 | 108 | |
| 6 | 2001 | 83 | |
| 7 | 2012 | 79 | |
| 8 | 1998 | 64 | |
| 9 | 2014 | 55 | |
| 10 | 2013 | 52 | |
| 11 | 1998 | 52 | |
| 12 | 1996 | 51 | |
| 13 | 2000 | 49 | |
| 14 | 2005 | 45 | |
| 15 | 2011 | 41 | |
| 16 | 2011 | 38 | |
| 17 | 2011 | 37 | |
| 18 | 2010 | 35 | |
| 19 | 2009 | 34 | |
| 20 | 2010 | 33 |
About J.M. Sauder
J.M. Sauder is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Biotechnology and Biochemistry, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (21 papers), Protein Structure and Dynamics (11 papers), Peptidase Inhibition and Analysis (7 papers), RNA and protein synthesis mechanisms (6 papers), Glycosylation and Glycoproteins Research (5 papers), Biochemical and Molecular Research (5 papers), Galectins and Cancer Biology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology (431 citations), Molecular Medicine (172 citations), Molecular Biology (1.7k citations), Genetics (301 citations) and Pulmonary and Respiratory Medicine (297 citations). J.M. Sauder has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include S.K. Burley, Steven C. Almo, Roland L. Dunbrack, Jonathan W. Arthur, J.B. Bonanno, Heinrich Röder, U.A. Ramagopal, Marek Basler, John J. Mekalanos and Stefan Pukatzki. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Structure and Journal of Biological Chemistry.
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.