E. Ruschmann

21 papers receiving 348 citations

Peers

E. Ruschmann
Comparison fields: 5 of 69
  • Endocrinology 93
  • Immunology 132
  • Microbiology 37
  • Molecular Medicine 21
  • Food Science 69
Replace H. J. Risse with:
H. J. Risse Germany
Kathryn A. Brozek United States
Kazuhito Hisatsune Japan
Angelika Tacken Germany
Hélène Therisod France
Frank Lindh Sweden
R. A. Finkelstein United States
Tony Clementz United States
Hans H. Martin Germany
J.-V. Holtje United States
E. Ruschmann relative to H. J. Risse Germany H. J. Risse's profile →
Citations per field
00.5×1.5×2.5×
H. J. Risse · 1×
Citations per year

Countries citing papers authored by E. Ruschmann

Since Specialization
Citations

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

Fields of papers citing papers by E. Ruschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside E. Ruschmann, 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 E. Ruschmann Line = papers co-authored together E. Ruschmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966143
2 197165
3 197342
4 196738
5 196828
6 196724
7
[Antibodies promoting phagocytosis of bacteria by amoebae].
196717
8 196717
9 198016
10 196713
11 19593
12 19643
13 19542
14 19582
15
[On the influence of inoculate volume on the adsorption of poliomyelitis virus in tissue cultures].
19592
16 19602
17 19542
18
[Experimental animal studies on penicillin toxicity. I. The effects of penicillin on the pregnant organism with special reference to the guinea pig].
19541
19 19581
20 19591

About E. Ruschmann

E. Ruschmann is a scholar working on Immunology, Food Science, Endocrinology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 25 papers that have together received 426 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Escherichia coli research studies (5 papers), Viral Infections and Immunology Research (5 papers), Probiotics and Fermented Foods (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Infant Nutrition and Health (2 papers). The work is most often cited by research in Endocrinology (93 citations), Immunology (132 citations), Microbiology (37 citations), Molecular Medicine (21 citations) and Food Science (69 citations). E. Ruschmann has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include O. Lüderitz, Otto Westphal, Chris Galanos, Robert W. Wheat, H. J. Risse, G Schmidt, Heinrich Schulte‐Holthausen, S Schlecht, Atsushi Tanaka and Wulf Dröge. Their work appears in journals such as Medical Microbiology and Immunology, European Journal of Biochemistry, Journal of Bacteriology, Archives of Virology and Annals of the New York Academy of Sciences.

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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