S. Schmidt

1.2k citations
28 papers · 959 · h-index 15

Impact in

Papers in

    • Immunotherapy and Immune Responses 15
    • Immune Response and Inflammation 9
    • T-cell and B-cell Immunology 3
    • RNA Interference and Gene Delivery 9

S. Schmidt

28 papers receiving 940 citations

Peers

S. Schmidt
Comparison fields: 5 of 71
  • Immunology 445
  • Pharmaceutical Science 107
  • Infectious Diseases 190
  • Microbiology 58
  • Molecular Biology 528
Replace Cassandra T. David with:
Cassandra T. David Australia
Samira Mansouri United States
Jeffrey J. Landers United States
Vibhu Kanchan India
Paul E. Makidon United States
Ashwini Kumar Giddam Australia
Maylene Briones United States
Wei‐Chiao Huang United States
Sarah E. McNeil United Kingdom
Sunita Awate Singapore
S. Schmidt relative to Cassandra T. David Australia Cassandra T. David's profile →
Citations per field
00.5×2×2.8×
Cassandra T. David · 1×
Citations per year

Countries citing papers authored by S. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by S. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2 2020141
3 201494
4 201973
5 202173
6 201669
7 202037
8 201335
9 202434
10 202133
11 201829
12 201822
13 202022
14 201919
15 201817
16 202114
17 201913
18 202012
19 201710
20 20189

About S. Schmidt

S. Schmidt is a scholar working on Immunology, Molecular Biology, Pharmaceutical Science, Epidemiology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 959 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), RNA Interference and Gene Delivery (9 papers), Immune Response and Inflammation (9 papers), Advanced Drug Delivery Systems (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), T-cell and B-cell Immunology (3 papers), Pneumonia and Respiratory Infections (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Immunology (445 citations), Pharmaceutical Science (107 citations), Infectious Diseases (190 citations), Microbiology (58 citations) and Molecular Biology (528 citations). S. Schmidt has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Dennis Christensen, Camilla Foged, Karen Smith Korsholm, Thomas Rades, Yvonne Perrie, Peter Andersen, Stuart Woods, Craig W. Roberts, Derek T. O’Hagan and Barbara C. Baudner. Their work appears in journals such as Journal of Controlled Release, Vaccine, European Journal of Pharmaceutics and Biopharmaceutics, Pharmaceutics and Pharmaceutical Research.

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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