Stefanie Heß

1.1k citations
26 papers · 659 · h-index 15

Impact in

Papers in

Stefanie Heß

26 papers receiving 653 citations

Peers

Stefanie Heß
Comparison fields: 5 of 73
  • Molecular Medicine 263
  • Pollution 365
  • Applied Microbiology and Biotechnology 39
  • Endocrinology 82
  • Health, Toxicology and Mutagenesis 96
Replace Claudia Seiler with:
Claudia Seiler Sweden
Anne Frances Clare Leonard United Kingdom
Carlos Narciso‐da‐Rocha Portugal
Sebastian Niestępski Poland
Ana Rita Varela Portugal
Adriana Osińska Poland
You Che China
Wenjie Hong China
Thị Thùy Ireland
Zejun Lin China
Stefanie Heß relative to Claudia Seiler Sweden Claudia Seiler's profile →
Citations per field
00.5×1.5×
Claudia Seiler · 1×
Citations per year

Countries citing papers authored by Stefanie Heß

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefanie Heß, 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 Stefanie Heß Line = papers co-authored together Stefanie Heß 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 2014136
2 202270
3 201856
4 201949
5 201940
6 202237
7 202136
8 201530
9 201427
10 201922
11 201321
12 201521
13 202220
14 202314
15 202114
16 202111
17 20169
18 20148
19 20167
20 20187

About Stefanie Heß

Stefanie Heß is a scholar working on Pollution, Molecular Medicine, Molecular Biology, Infectious Diseases and Ecology, having authored 26 papers that have together received 659 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (15 papers), Antibiotic Resistance in Bacteria (14 papers), Bacterial biofilms and quorum sensing (5 papers), Water Treatment and Disinfection (4 papers), Microbial Community Ecology and Physiology (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Gut microbiota and health (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Medicine (263 citations), Pollution (365 citations), Applied Microbiology and Biotechnology (39 citations), Endocrinology (82 citations) and Health, Toxicology and Mutagenesis (96 citations). Stefanie Heß has collaborated with scholars based in Germany, Finland and Sweden. Frequent co-authors include Claudia Gallert, Thomas U. Berendonk, David Kneis, Frauke Lüddeke, Hans Güde, Josef Winter, Viktor Jönsson, Johan Bengtsson‐Palme, Sofia K. Forslund and Štefan Schwarz. Their work appears in journals such as FEMS Microbiology Ecology, Environmental Science & Technology, Frontiers in Microbiology, Nature Communications and Environmental Pollution.

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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