Pablo Steinberg

5.7k citations
157 papers · 4.2k · h-index 34

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Carcinogens and Genotoxicity Assessment
    • Cancer, Hypoxia, and Metabolism

Papers in

Pablo Steinberg

154 papers receiving 4.0k citations

Peers

Pablo Steinberg
Comparison fields: 5 of 151
  • Hepatology 441
  • Cancer Research 688
  • Pharmacology 401
  • Health, Toxicology and Mutagenesis 386
  • Biochemistry 190
Replace Sang Kyum Kim with:
Sang Kyum Kim South Korea
Pallu Reddanna India
Chien‐Chih Chiu Taiwan
George E.N. Kass United Kingdom
Sophie Langouët France
Young‐Choon Lee South Korea
Susan Costantini Italy
Shanshan Li China
Youwei Xu China
Kyu‐Shik Jeong South Korea
Pablo Steinberg relative to Sang Kyum Kim South Korea Sang Kyum Kim's profile →
Citations per field
00.5×1.5×1.8×
Sang Kyum Kim · 1×
Citations per year

Countries citing papers authored by Pablo Steinberg

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Steinberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000228
2 2002208
3 2016188
4 2005172
5 2016164
6 2005114
7 2020112
8 1999103
9 200295
10 200391
11 201283
12 200878
13 202076
14 199373
15 199969
16 200068
17 201867
18 199967
19 201566
20 198762

About Pablo Steinberg

Pablo Steinberg is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Plant Science, having authored 157 papers that have together received 4.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (28 papers), Pharmacogenetics and Drug Metabolism (19 papers), Drug Transport and Resistance Mechanisms (15 papers), Mycotoxins in Agriculture and Food (12 papers), Liver physiology and pathology (10 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Drug-Induced Hepatotoxicity and Protection (8 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Hepatology (441 citations), Cancer Research (688 citations), Pharmacology (401 citations), Health, Toxicology and Mutagenesis (386 citations) and Biochemistry (190 citations). Pablo Steinberg has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Franz Oesch, René Thierbach, Jan G. Hengstler, Sabine E. Kulling, Karl‐Heinz Engel, Michael T. Empl, Michael Ristow, Tim J. Schulz, Anja Voigt and Andreas Pfeiffer. Their work appears in journals such as Archives of Toxicology, Carcinogenesis, Molecular Nutrition & Food Research, Food and Chemical Toxicology and Toxicology in Vitro.

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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