J.M. Sauder

4.7k citations
52 papers · 2.4k indexed · 1 hit paper · h-index 25

J.M. Sauder

52 papers receiving 2.4k citations

Hit Papers

Type VI secretion apparatus and phage tail-associated pro...5012009202620142020100200300400500

Peers

J.M. Sauder
Comparison fields: 5 of 108
  • Endocrinology 425
  • Molecular Medicine 176
  • Molecular Biology 1.7k
  • Genetics 291
  • Pulmonary and Respiratory Medicine 286
Replace T. Krojer with:
T. Krojer United Kingdom
Michael N.G. James Canada
Kishiko Nikaido United States
A.G. Evdokimov United States
Markus A. Seeger Switzerland
M. Cymborowski United States
Nina M. Haste United States
Mark S. Warren United States
Michael L. Oldham United States
Petra Lukacik United Kingdom
J.M. Sauder relative to T. Krojer United Kingdom T. Krojer's profile →
Citations per field
00.5×5.7×
T. Krojer · 1×
Citations per year

Countries citing papers authored by J.M. Sauder

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J.M. Sauder Line = papers co-authored together J.M. Sauder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20217
2 20201
3 20175
4 201452
5 201350
6 201273
7 201136
8 201110
9 201133
10 20102
11
Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary originbreakdown →
2009501
12 2009101
13 20095
14 200913
15 200927
16
Selective inhibition of MET protein receptor tyrosine kinase by SGX523
20076
17 200543
18 20029
19 20004
20 199849

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.

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