Daniel S. Selinger

473 citations
12 papers · 418 · h-index 9

Impact in

Papers in

Daniel S. Selinger

12 papers receiving 328 citations

Peers

Daniel S. Selinger
Comparison fields: 5 of 73
  • Microbiology 51
  • Microbiology 4
  • Pharmacology 74
  • Epidemiology 140
  • Infectious Diseases 78
Replace Quie Pg with:
Quie Pg United States
Shigeru Kohno Japan
Waldemar A. Palutke United States
Yasuko Aoki Japan
J. Verhoef Netherlands
N. Auffret France
M. Hastings United Kingdom
Nancy Koles United States
C. Heymans Belgium
Yvon Roche France
Daniel S. Selinger relative to Quie Pg United States Quie Pg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Selinger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Selinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel S. Selinger, 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 Daniel S. Selinger Line = papers co-authored together Daniel S. Selinger links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 197887
2 197965
3 197959
4
Partial reversal of the cellular immune defect in common variable immunodeficiency with indomethacin.
197854
5 197841
6 198133
7 197933
8 198118
9 198013
10 19807
11 19795
12 19813

About Daniel S. Selinger

Daniel S. Selinger is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Infectious Diseases and Pharmacology, having authored 12 papers that have together received 418 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (4 papers), Respiratory viral infections research (4 papers), Infective Endocarditis Diagnosis and Management (2 papers), Inflammatory mediators and NSAID effects (2 papers), T-cell and B-cell Immunology (2 papers), Pneumonia and Respiratory Infections (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Microbiology (51 citations), Microbiology (4 citations), Pharmacology (74 citations), Epidemiology (140 citations) and Infectious Diseases (78 citations). Daniel S. Selinger has collaborated with scholars based in United States. Frequent co-authors include William P. Reed, James S. Goodwin, Ronald P. Messner, Ralph C. Williams, Leroy C. McLaren, Arthur D. Bankhurst, James S. Goodwin, Stuart W. Adler, Roger Echols and Marilyn H. Duncan. Their work appears in journals such as Infection and Immunity, The American Journal of Medicine, The Journal of Infectious Diseases, Science and Survey of Ophthalmology.

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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