Daniel S. Schmidt

1.6k total citations · 1 hit paper
16 papers, 839 citations indexed

About

Daniel S. Schmidt is a scholar working on Epidemiology, Microbiology and Molecular Biology. According to data from OpenAlex, Daniel S. Schmidt has authored 16 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Microbiology and 5 papers in Molecular Biology. Recurrent topics in Daniel S. Schmidt's work include Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (6 papers) and Bacillus and Francisella bacterial research (4 papers). Daniel S. Schmidt is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (6 papers) and Bacillus and Francisella bacterial research (4 papers). Daniel S. Schmidt collaborates with scholars based in United States, Mexico and Chile. Daniel S. Schmidt's co-authors include David S. Stephens, Rafi Ahmed, Sandra Romero‐Steiner, George M. Carlone, Nadine Rouphael, Scott E. Johnson, Gowrisankar Rajam, Mark J. Mulligan, Sudhir Pai Kasturi and Sai Duraisingham and has published in prestigious journals such as Nature Immunology, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Daniel S. Schmidt

14 papers receiving 831 citations

Hit Papers

Molecular signatures of antibody responses derived from a... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel S. Schmidt United States 10 409 303 278 225 127 16 839
Kay-Martin Hanschmann Germany 21 386 0.9× 203 0.7× 127 0.5× 246 1.1× 129 1.0× 45 1.1k
Edith Jasny Germany 13 406 1.0× 193 0.6× 412 1.5× 536 2.4× 108 0.9× 20 1.1k
Tamera M. Pertmer United States 8 244 0.6× 264 0.9× 461 1.7× 181 0.8× 109 0.9× 8 760
Yen‐Hung Chow Taiwan 24 593 1.4× 411 1.4× 533 1.9× 769 3.4× 138 1.1× 55 1.9k
Minh‐Duc Nguyen Vietnam 3 300 0.7× 158 0.5× 631 2.3× 124 0.6× 49 0.4× 5 905
Susan M. Efler United States 9 328 0.8× 348 1.1× 825 3.0× 144 0.6× 60 0.5× 10 1.2k
Sally Mossman United States 15 185 0.5× 597 2.0× 448 1.6× 263 1.2× 226 1.8× 20 1.0k
Wolfgang Mundt Austria 17 281 0.7× 334 1.1× 217 0.8× 346 1.5× 186 1.5× 26 974
Phil Felgner United States 9 331 0.8× 311 1.0× 350 1.3× 161 0.7× 232 1.8× 13 854
Trevor Whittall United Kingdom 17 398 1.0× 155 0.5× 556 2.0× 174 0.8× 212 1.7× 26 971

Countries citing papers authored by Daniel S. Schmidt

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel S. Schmidt more than expected).

Fields of papers citing papers by Daniel S. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Schmidt. A scholar is included among the top collaborators of Daniel S. Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel S. Schmidt. Daniel S. Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Schmidt, Daniel S., et al.. (2018). Pilot Scale Experimental Study of Slug Flow Phenomena Using PID Control. Civil War Book Review.
2.
Schmidt, Daniel S., et al.. (2018). Bench Scale Experimental Study of Slug Flow Phenomena Using PID Control. Civil War Book Review.
3.
Broderick, Michael P., Sandra Romero‐Steiner, Gowrisankar Rajam, et al.. (2016). Immune Responses in U.S. Military Personnel Who Received Meningococcal Conjugate Vaccine (MenACWY) Concomitantly with Other Vaccines Were Higher than in Personnel Who Received MenACWY Alone. Clinical and Vaccine Immunology. 23(8). 672–680. 6 indexed citations
4.
Nix, Eli B., Kylie A. Williams, Andrew D. Cox, et al.. (2015). Naturally Acquired Antibodies againstHaemophilus influenzaeType a in Aboriginal Adults, Canada. Emerging infectious diseases. 21(2). 273–279. 9 indexed citations
5.
Patel, Manisha, Sandra Romero‐Steiner, Michael P. Broderick, et al.. (2014). Persistence of serogroup C antibody responses following quadrivalent meningococcal conjugate vaccination in United States military personnel. Vaccine. 32(30). 3805–3809. 3 indexed citations
6.
Li, Shuzhao, Nadine Rouphael, Sai Duraisingham, et al.. (2013). Molecular signatures of antibody responses derived from a systems biology study of five human vaccines. Nature Immunology. 15(2). 195–204. 462 indexed citations breakdown →
7.
Schmidt, Daniel S., Kathryn T. Bieging, Jaime Inostroza, et al.. (2012). Measurement of Haemophilus Influenzae Type A Capsular Polysaccharide Antibodies in Cord Blood Sera. The Pediatric Infectious Disease Journal. 31(8). 876–878. 10 indexed citations
8.
Semenova, Vera, Jarad Schiffer, Evelene Steward‐Clark, et al.. (2011). Validation and long term performance characteristics of a quantitative enzyme linked immunosorbent assay (ELISA) for human anti-PA IgG. Journal of Immunological Methods. 376(1-2). 97–107. 43 indexed citations
9.
Rouphael, Nadine, Sarah W. Satola, Monica M. Farley, et al.. (2010). Evaluation of Serum Bactericidal Antibody Assays forHaemophilus influenzaeSerotype a. Clinical and Vaccine Immunology. 18(2). 243–247. 12 indexed citations
10.
Li, Han, Stephen Soroka, Thomas H. Taylor, et al.. (2008). Standardized, mathematical model-based and validated in vitro analysis of anthrax lethal toxin neutralization. Journal of Immunological Methods. 333(1-2). 89–106. 64 indexed citations
11.
Semenova, Vera, Daniel S. Schmidt, Thomas H. Taylor, et al.. (2006). Analysis of anti-protective antigen IgG subclass distribution in recipients of anthrax vaccine adsorbed (AVA) and patients with cutaneous and inhalation anthrax. Vaccine. 25(10). 1780–1788. 5 indexed citations
12.
Quinn, Conrad P., Peter Dull, Vera Semenova, et al.. (2004). Immune Responses toBacillus anthracisProtective Antigen in Patients with Bioterrorism‐Related Cutaneous or Inhalation Anthrax. The Journal of Infectious Diseases. 190(7). 1228–1236. 101 indexed citations
13.
Semenova, Vera, Evelene Steward‐Clark, Karen Stamey, et al.. (2004). Mass Value Assignment of Total and Subclass Immunoglobulin G in a Human Standard Anthrax Reference Serum. Clinical and Vaccine Immunology. 11(5). 919–923. 43 indexed citations
14.
Yin, C. Cameron, Mahmoud Djavani, Alan R. Schenkel, et al.. (1998). Dissemination of Lymphocytic Choriomeningitis Virus from the Gastric Mucosa Requires G Protein-Coupled Signaling. Journal of Virology. 72(11). 8613–8619. 12 indexed citations
15.
Schmidt, Daniel S., et al.. (1994). Toxoplasma pneumonia in a cat with incongruous serological test results. Journal of Small Animal Practice. 35(2). 104–107. 4 indexed citations
16.
Eis‐Hübinger, Anna Maria, Daniel S. Schmidt, & K. E. Schneweis. (1993). Anti-glycoprotein B monoclonal antibody protects T cell-depleted mice against herpes simplex virus infection by inhibition of virus replication at the inoculated mucous membranes. Journal of General Virology. 74(3). 379–385. 65 indexed citations

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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