Felix E. Wassermann

466 citations
10 papers · 299 · h-index 6

Impact in

Papers in

Felix E. Wassermann

10 papers receiving 258 citations

Peers

Felix E. Wassermann
Comparison fields: 5 of 51
  • Infectious Diseases 152
  • Genetics 165
  • Epidemiology 125
  • Cardiology and Cardiovascular Medicine 48
  • Animal Science and Zoology 13
Replace Alfred Kogon with:
Alfred Kogon United States
A. B. Sabin Australia
L T Pierik United States
I. Archetti Italy
Judith G. Massicot United States
Marina Irvine United States
J. M. Darville United Kingdom
William J. Cheatham United States
Th. Adrian Germany
Victor V. Bergs United States
Felix E. Wassermann relative to Alfred Kogon United States Alfred Kogon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Felix E. Wassermann

Since Specialization
Citations

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

Fields of papers citing papers by Felix E. Wassermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix E. Wassermann. 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 Felix E. Wassermann. The network helps show where Felix E. Wassermann may publish in the future.

Co-authors

The 8 scholars most cited alongside Felix E. Wassermann, 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 Felix E. Wassermann Line = papers co-authored together Felix E. Wassermann links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1969174
2 196641
3 196624
4 196618
5 196216
6 195613
7
Intratypic Differentiation of Poliovirus Strains. I. Description of a Simple Method based on Serum Neutralization Kinetics and its Application to the Study of Human Passage Progeny of the LSc2ab Type 1 Vaccine Strain.
19624
8 19654
9 19593
10 19652

About Felix E. Wassermann

Felix E. Wassermann is a scholar working on Genetics, Agronomy and Crop Science, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 299 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Virus-based gene therapy research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Respiratory viral infections research (1 paper), Infection Control and Ventilation (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Infectious Diseases (152 citations), Genetics (165 citations), Epidemiology (125 citations), Cardiology and Cardiovascular Medicine (48 citations) and Animal Science and Zoology (13 citations). Felix E. Wassermann has collaborated with scholars based in United States. Frequent co-authors include John P. Fox, Carl D. Brandt, Lila R. Elveback, Ilya Spigland, Alfred Kogon, CARRIE E. HALL, A. Ketler and Mark H. Adams. Their work appears in journals such as Virology, American Journal of Epidemiology, Experimental Biology and Medicine and Applied Microbiology.

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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