H. Babich

7.0k citations
120 papers · 6.2k · h-index 44

Impact in

Papers in

H. Babich

119 papers receiving 5.7k citations

Peers

H. Babich
Comparison fields: 5 of 160
  • Health, Toxicology and Mutagenesis 1.7k
  • Pollution 1.3k
  • Biochemistry 408
  • Small Animals 479
  • Applied Microbiology and Biotechnology 92
Replace Siegfried Knasmüller with:
Siegfried Knasmüller Austria
Javed Musarrat India
Mohammad Athar United States
Mayumi Ishizuka Japan
Lynn Vanhaecke Belgium
Charles Beauchamp United States
Mosaad A. Abdel‐Wahhab Egypt
Sara C. Cunha Portugal
Bing Shao China
Volker Mersch‐Sundermann Germany
H. Babich relative to Siegfried Knasmüller Austria Siegfried Knasmüller's profile →
Citations per field
00.5×4.7×
Siegfried Knasmüller · 1×
Citations per year

Countries citing papers authored by H. Babich

Since Specialization
Citations

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

Fields of papers citing papers by H. Babich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988416
2 1980248
3 1985243
4 1991196
5 1977179
6 1990156
7 1981156
8 1978136
9 2004133
10 1991131
11 2004117
12 1982117
13 1978114
14 1986113
15 2011107
16 1987105
17 1977105
18 1990104
19 2003103
20 198795

About H. Babich

H. Babich is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Plant Science, Small Animals and Molecular Biology, having authored 120 papers that have together received 6.2k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (26 papers), Heavy metals in environment (22 papers), Animal testing and alternatives (21 papers), Chromium effects and bioremediation (13 papers), Carcinogens and Genotoxicity Assessment (12 papers), Phytochemicals and Antioxidant Activities (9 papers), Toxic Organic Pollutants Impact (9 papers) and Tea Polyphenols and Effects (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.7k citations), Pollution (1.3k citations), Biochemistry (408 citations), Small Animals (479 citations) and Applied Microbiology and Biotechnology (92 citations). H. Babich has collaborated with scholars based in United States, France and Italy. Frequent co-authors include G. Stotzky, Ellen Borenfreund, Nieves Martín‐Alguacil, Harriet L. Zuckerbraun, Devra Lee Davis, Henry L. Ehrlich, Alyssa G. Schuck, Jeffrey H. Weisburg, A. Stern and Charles Shopsis. Their work appears in journals such as Toxicology in Vitro, Toxicology Letters, Archives of Environmental Contamination and Toxicology, Environmental Research and Ecotoxicology and Environmental Safety.

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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