Saskia Trump

7.0k citations
36 papers · 2.9k indexed · 1 hit paper · h-index 17

Saskia Trump

35 papers receiving 2.9k citations

Hit Papers

An endogenous tumour-promoting ligand of the human aryl h...1.4k20112026201620214008001.2k

Peers

Saskia Trump
Comparison fields: 5 of 126
  • Biological Psychiatry 970
  • Behavioral Neuroscience 354
  • Immunology 745
  • Cancer Research 379
  • Psychiatry and Mental health 283
Replace Florencia María Barbé‐Tuana with:
Florencia María Barbé‐Tuana Brazil
Lennart Nässberger Sweden
Gabriele Baier‐Bitterlich Austria
James A. McCormick United States
Yi Shen China
Akira Hashiramoto Japan
Marjan Gharagozloo Iran
R. Kido Japan
Michael A. Kiebish United States
Deling Yin United States
Saskia Trump relative to Florencia María Barbé‐Tuana Brazil Florencia María Barbé‐Tuana's profile →
Citations per field
00.5×5.5×
Florencia María Barbé‐Tuana · 1×
Citations per year

Countries citing papers authored by Saskia Trump

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Trump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202416
2 20235
3 20235
4 202341
5 202215
6 202117
7 2019201
8 201915
9 201845
10 201828
11 201718
12 20139
13 201316
14
An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptorbreakdown →
20111443
15 2011367
16 201112
17 201127
18 20102
19 200736
20 200668

About Saskia Trump

Saskia Trump is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (6 papers), Toxic Organic Pollutants Impact (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Neonatal Respiratory Health Research (4 papers), Stress Responses and Cortisol (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Birth, Development, and Health (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Biological Psychiatry (970 citations), Behavioral Neuroscience (354 citations) and Immunology (745 citations). Saskia Trump has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Christiane A. Opitz, Irina Lehmann, Michael Platten, Martina Ott, Wolfgang Wick, Ulrike Litzenburger, Andreas von Deimling, Felix Sahm, Christian Lutz and Dieter Schrenk.

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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