Nathan W. Schmidt

81 papers receiving 4.1k citations

Nathan W. Schmidt's Hit Papers

Self-assembling dipeptide antibacterial nanostructures with membrane disrupting activity 2017 · 355 citations
3550+3+6Years since publication100200300

Peers

Nathan W. Schmidt
Comparison fields: 5 of 143
  • Microbiology 1.0k
  • Immunology 923
  • Molecular Biology 2.0k
  • Biomaterials 390
  • Parasitology 179
Replace Fanny Guzmán with:
Fanny Guzmán Chile
Roland Brock Netherlands
Karl‐Heinz Wiesmüller Germany
Gerd Pluschke Switzerland
Wengang Chai United Kingdom
Haipeng Liu China
Dirk Linke Germany
Roman I. Koning Netherlands
Peter Burkhard United States
Bernd Lepenies Germany
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Countries citing papers authored by Nathan W. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Nathan W. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan W. Schmidt. 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 Nathan W. Schmidt. The network helps show where Nathan W. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009443
2
Self-assembling dipeptide antibacterial nanostructures with membrane disrupting activity
Hit paper breakdown →
2017355
3 2011279
4 2008205
5 2016202
6 2011181
7 2011178
8 2013154
9 2010143
10 2020139
11 2008111
12 2013102
13 201482
14 200978
15 200376
16 200875
17 201573
18 200671
19 201369
20 201065

About Nathan W. Schmidt

Nathan W. Schmidt is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Microbiology and Infectious Diseases, having authored 85 papers that have together received 4.2k indexed citations. Recurring topics across this work include Malaria Research and Control (19 papers), Antimicrobial Peptides and Activities (15 papers), Gut microbiota and health (13 papers), Immune Response and Inflammation (9 papers), T-cell and B-cell Immunology (8 papers), RNA Interference and Gene Delivery (6 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Microbiology (1.0k citations), Immunology (923 citations), Molecular Biology (2.0k citations), Biomaterials (390 citations) and Parasitology (179 citations). Nathan W. Schmidt has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gerard C. L. Wong, Ghee Hwee Lai, Abhijit Mishra, John T. Harty, Noah S. Butler, William F. DeGrado, Joshua E. Denny, Vladimir P. Badovinac, Bruk Mensa and Rafael B. Polidoro. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Journal of the American Chemical Society, Nature Communications and PLoS Pathogens.

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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