S Springer

663 citations
53 papers · 407 · h-index 11

Impact in

  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques
    • Viral gastroenteritis research and epidemiology
    • Clostridium difficile and Clostridium perfringens research

Papers in

S Springer

47 papers receiving 382 citations

Peers

S Springer
Comparison fields: 5 of 112
  • Biophysics 33
  • Infectious Diseases 97
  • Dermatology 37
  • Rehabilitation 21
  • Food Science 53
Replace Julia Fukuyama with:
Julia Fukuyama United States
Celeste Allaband United States
Kristina Træholt Franck Denmark
E Macher France
Hafsa Aziz Pakistan
Jyoti Madhusoodanan United States
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Ronald B. Moss United States
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Citations per field
00.5×4.2×
Julia Fukuyama · 1×
Citations per year

Countries citing papers authored by S Springer

Since Specialization
Citations

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

Fields of papers citing papers by S Springer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201144
2 199943
3 198528
4 202126
5
[A new live Salmonella enteritidis vaccine for chickens--experimental evidence of its safety and efficacy].
200025
6
Lipids in human milk: a model for infant formulae?
199222
7 200615
8 201412
9 202011
10 201811
11 202210
12 202210
13 200710
14 201810
15 20239
16 20159
17 20209
18 20179
19
[Periodic breathing with periodic oxygen variation in infancy].
19969
20
Persistence, excretion and efficacy of an attenuated Salmonella vaccine in suckling piglets.
20108

About S Springer

S Springer is a scholar working on Epidemiology, Food Science, Biomedical Engineering, Genetics and Dermatology, having authored 53 papers that have together received 407 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Data-Driven Disease Surveillance (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Cancer Research and Treatments (4 papers), Skin Protection and Aging (4 papers), Vaccine Coverage and Hesitancy (4 papers), Animal Virus Infections Studies (3 papers) and Animal and Plant Science Education (3 papers). The work is most often cited by research in Biophysics (33 citations), Infectious Diseases (97 citations), Dermatology (37 citations), Rehabilitation (21 citations) and Food Science (53 citations). S Springer has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Michael Zieger, Martin Kaatz, Artur Strzelecki, William H. Outlaw, Thomas Lindner, Mitchell C. Tarczynski, Karsten König, Jörg Lehmann, Berthold Koletzko and Peter Elsner. Their work appears in journals such as Skin Research and Technology, Vaccine, Tourism Culture & Communication, EJNMMI Physics and PLANT PHYSIOLOGY.

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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