Julia Schwaiger

3.5k citations
43 papers · 2.6k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Julia Schwaiger

42 papers receiving 2.4k citations

Hit Papers

Toxic effects of the non-steroidal anti-inflammatory drug diclofenac 2004 · 695 citations
6952004202620112018200400600

Peers

Julia Schwaiger
Comparison fields: 5 of 127
  • Pollution 1.3k
  • Health, Toxicology and Mutagenesis 1.2k
  • Physiology 278
  • Analytical Chemistry 365
  • Aquatic Science 267
Replace Hong Chang with:
Hong Chang China
Lina Gunnarsson Sweden
Thomas Knacker Germany
Laurent D. Noël France
Timothy R. Croley United States
Brett R. Blackwell United States
Gianfranco Brambilla Italy
Pasquale Gallo Italy
J. McEvoy United States
Julia Schwaiger relative to Hong Chang China Hong Chang's profile →
Citations per field
00.5×4.7×
Hong Chang · 1×
Citations per year

Countries citing papers authored by Julia Schwaiger

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schwaiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20225
3 20222
4 202124
5 202041
6 202010
7 20198
8 201913
9 201825
10 201718
11 201531
12 201021
13 200710
14 2007199
15 2004361
16 200358
17 200286
18 2000112
19 19985
20
The functional equation of homogeneity and its stability properties
19964

About Julia Schwaiger

Julia Schwaiger is a scholar working on Physiology, Health, Toxicology and Mutagenesis, Theoretical Computer Science, Pollution and Infectious Diseases, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (10 papers), Reproductive biology and impacts on aquatic species (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Mosquito-borne diseases and control (6 papers), Fish Ecology and Management Studies (6 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Pollution (1.3k citations), Health, Toxicology and Mutagenesis (1.2k citations), Physiology (278 citations), Analytical Chemistry (365 citations) and Aquatic Science (267 citations). Julia Schwaiger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Hermann Ferling, Rita Triebskorn, R. D. Negele, Heinz‐R. Köhler, Allen Heyd, Wolfgang Honnen, Volker Scheil, Rüdiger Wanke, W. Kalbfus and Karl Fent. Their work appears in journals such as Aquatic Toxicology, Journal of Aquatic Ecosystem Stress and Recovery, The Journal of Infectious Diseases, Aequationes Mathematicae and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026