J.M. Sauder
- Endocrinology top 1%
- Molecular Medicine top 2%
- Molecular Biology top 5%
- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 6
- Glycosylation and Glycoproteins Research 5
- Biochemical and Molecular Research 5
- Genetics top 10%
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- Enzyme Structure and Function 21
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- Peptidase Inhibition and Analysis 7
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- Amino Acid Enzymes and Metabolism 3
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- S.K. BurleySteven C. AlmoRoland L. DunbrackJonathan W. ArthurJ.B. BonannoHeinrich RöderU.A. RamagopalP.G. Leiman
- Journals
- Biochemistry (14 papers)Journal of Molecular Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
J.M. Sauder
52 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Endocrinology 425
- Molecular Medicine 176
- Molecular Biology 1.7k
- Genetics 291
- Pulmonary and Respiratory Medicine 286
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 7 | |
| 2 | 2020 | 1 | |
| 3 | 2017 | 5 | |
| 4 | 2014 | 52 | |
| 5 | 2013 | 50 | |
| 6 | 2012 | 73 | |
| 7 | 2011 | 36 | |
| 8 | 2011 | 10 | |
| 9 | 2011 | 33 | |
| 10 | 2010 | 2 | |
| 11 | Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary originbreakdown → | 2009 | 501 |
| 12 | 2009 | 101 | |
| 13 | 2009 | 5 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 27 | |
| 16 | Selective inhibition of MET protein receptor tyrosine kinase by SGX523 | 2007 | 6 |
| 17 | 2005 | 43 | |
| 18 | 2002 | 9 | |
| 19 | 2000 | 4 | |
| 20 | 1998 | 49 |
About J.M. Sauder
J.M. Sauder is a scholar working on Molecular Biology, Aging, Biochemistry, Biotechnology and Materials Chemistry, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (21 papers), Protein Structure and Dynamics (12 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), Amino Acid Enzymes and Metabolism (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology (425 citations), Molecular Medicine (176 citations), Molecular Biology (1.7k citations), Genetics (291 citations) and Pulmonary and Respiratory Medicine (286 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, P.G. Leiman, Marek Basler and John J. Mekalanos. 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.