Gabriele E. Ackermann

1.3k citations
16 papers · 575 · h-index 11

Impact in

  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species
  • Pollution top 5%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Gabriele E. Ackermann

15 papers receiving 556 citations

Peers

Gabriele E. Ackermann
Comparison fields: 5 of 89
  • Physiology 123
  • Pollution 188
  • Health, Toxicology and Mutagenesis 220
  • Aquatic Science 43
  • Clinical Biochemistry 36
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Inger Porsch-Hällström Sweden
James B. Hughes United States
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Bethany R. Hannas United States
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Svetlana Korzh Singapore
Vatsal Mehta United States
Catherine W. McCollum United States
Naomi Matsumura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gabriele E. Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele E. Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2004144
2 2007135
3 200286
4 200250
5 200545
6 200529
7 200624
8 199816
9 200813
10 200912
11 198610
12 20004
13 20202
14 20042
15
Long-term effects of nonylphenol on vitellogenin and zona radiata protein expression in juvenile rainbow trout
20002
16 20021

About Gabriele E. Ackermann

Gabriele E. Ackermann is a scholar working on Molecular Biology, Physiology, Health, Toxicology and Mutagenesis, Cardiology and Cardiovascular Medicine and Pollution, having authored 16 papers that have together received 575 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), S100 Proteins and Annexins (4 papers), Immune Response and Inflammation (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Animal Genetics and Reproduction (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Physiology (123 citations), Pollution (188 citations), Health, Toxicology and Mutagenesis (220 citations), Aquatic Science (43 citations) and Clinical Biochemistry (36 citations). Gabriele E. Ackermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Claus W. Heizmann, Karl Fent, Arnaud Galichet, Julia Schwaiger, Rik I.L. Eggen, Hans R. Aerni, Marc J.‐F. Suter, Beate I. Escher, Maija Pesonen and Eva Brombacher. Their work appears in journals such as Environmental Toxicology and Chemistry, Marine Environmental Research, Blood, PROTOPLASMA and Aquatic Toxicology.

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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