E. Rietschel

6.3k citations
115 papers · 4.4k · h-index 41

Impact in

  • Microbiology top 0.5%
    • Antimicrobial Peptides and Activities
  • Immunology top 1%
    • Immune Response and Inflammation

Papers in

    • Immune Response and Inflammation 39
    • Lipid Membrane Structure and Behavior 17
    • Glycosylation and Glycoproteins Research 11

E. Rietschel

111 papers receiving 4.0k citations

Peers

E. Rietschel
Comparison fields: 5 of 138
  • Microbiology 624
  • Immunology 1.7k
  • Endocrinology 399
  • Molecular Medicine 344
  • Immunology and Allergy 188
Replace Lore Brade with:
Lore Brade Germany
John K. Spitznagel United States
Otto Holst Germany
Artur J. Ulmer Germany
Gerald L. Mandell United States
Peter Elsbach United States
George Y. Liu United States
Uwe Mamat Germany
Olle Stendahl Sweden
Volkhard Kaever Germany
E. Rietschel relative to Lore Brade Germany Lore Brade's profile →
Citations per field
00.5×3.5×
Lore Brade · 1×
Citations per year

Countries citing papers authored by E. Rietschel

Since Specialization
Citations

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

Fields of papers citing papers by E. Rietschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973237
2 1986175
3 1981172
4 2006169
5 1985163
6 1994151
7 1992131
8 2003130
9 1997118
10 1983114
11 1981102
12 198498
13 198596
14 200495
15 199193
16 201389
17 200589
18 198784
19 199274
20 198473

About E. Rietschel

E. Rietschel is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Nutrition and Dietetics, having authored 115 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (39 papers), Lipid Membrane Structure and Behavior (17 papers), Asthma and respiratory diseases (12 papers), Allergic Rhinitis and Sensitization (12 papers), Glycosylation and Glycoproteins Research (11 papers), Food Allergy and Anaphylaxis Research (11 papers), Neonatal Respiratory Health Research (11 papers) and Cystic Fibrosis Research Advances (10 papers). The work is most often cited by research in Microbiology (624 citations), Immunology (1.7k citations), Endocrinology (399 citations), Molecular Medicine (344 citations) and Immunology and Allergy (188 citations). E. Rietschel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Helmut Brade, S. Kusumoto, Ulrich Zähringer, O. Lüderitz, A.J. Ulmer, Chris Galanos, Marjatta Nurminen, Félix Ratjen, Tetsuo Shiba and P. Helena Mäkelä. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Allergy, Journal of Cystic Fibrosis and Immunology Letters.

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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