Ursula Schell

1.2k citations
26 papers · 985 indexed · h-index 18

Impact in

    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
    • Enzyme Catalysis and Immobilization
    • Bacterial biofilms and quorum sensing
    • Microbial Metabolic Engineering and Bioproduction

Papers in

Ursula Schell

26 papers receiving 971 citations

Peers

Ursula Schell
Comparison fields: 5 of 86
  • Endocrinology 226
  • Molecular Biology 673
  • Biochemistry 48
  • Immunology 122
  • Biotechnology 49
Replace Feng Song with:
Feng Song China
Jeremiah D. Farelli United States
Nanting Ni United States
G.T. Lountos United States
Dustin R. Klein United States
Yoshiaki Nishiya Japan
Shih-Hsiung Wu Taiwan
Da‐Cheng Wang China
Catherine B. Poor United States
Bhumit A. Patel United States
Ursula Schell relative to Feng Song China Feng Song's profile →
Citations per field
00.5×3.9×
Feng Song · 1×
Citations per year

Countries citing papers authored by Ursula Schell

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Schell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016206
2 2000107
3 201776
4 201262
5 201254
6 200841
7 201539
8 201239
9 201535
10 199831
11 201630
12 201229
13 201629
14 201428
15 200826
16 199922
17 202021
18 201921
19 201617
20 199916

About Ursula Schell

Ursula Schell is a scholar working on Endocrinology, Biotechnology, Molecular Biology, Biochemistry and Immunology, having authored 26 papers that have together received 985 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (8 papers), Bacterial biofilms and quorum sensing (6 papers), Enzyme Catalysis and Immobilization (6 papers), Vibrio bacteria research studies (5 papers), Enzyme Structure and Function (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Protein Structure and Dynamics (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Endocrinology (226 citations), Molecular Biology (673 citations), Biochemistry (48 citations), Immunology (122 citations) and Biotechnology (49 citations). Ursula Schell has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Hubert Hilbi, Florian Hollfelder, Stéphane Emond, Martin Fischlechner, Fabrice Gielen, Adrian Goldman, Elina Siirola, John M. Ward, Kirsten Jung and Sylvia Simon. Their work appears in journals such as Molecular Microbiology, Organic & Biomolecular Chemistry, Applied and Environmental Microbiology, Environmental Microbiology and Journal of Molecular Catalysis B Enzymatic.

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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