H. Babich

6.9k citations
116 papers · 5.7k indexed · h-index 42

H. Babich

116 papers receiving 5.3k citations

Peers

H. Babich
Comparison fields: 5 of 158
  • Health, Toxicology and Mutagenesis 1.7k
  • Pollution 1.2k
  • Biochemistry 407
  • Small Animals 429
  • Applied Microbiology and Biotechnology 96
Replace Siegfried Knasmüller with:
Siegfried Knasmüller Austria
Volker Mersch‐Sundermann Germany
Javed Musarrat India
Mohammad Athar United States
James T. MacGregor United States
Jae‐Chun Ryu South Korea
Yū F. Sasaki Japan
Helmut Greim Germany
Siegfried Knasmueller Austria
Lynn Vanhaecke Belgium
H. Babich relative to Siegfried Knasmüller Austria Siegfried Knasmüller's profile →
Citations per field
00.5×4.6×
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-authorship network

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
#Work
1 201019
2 200836
3 200749
4 2004108
5 2004126
6 200372
7 19986
8 199735
9 199652
10 199586
11 199116
12 1991180
13 199161
14 199036
15 198911
16 198838
17 198740
18 198699
19 1980227
20 197467

About H. Babich

H. Babich is a scholar working on Applied Microbiology and Biotechnology, Health, Toxicology and Mutagenesis, Chemical Health and Safety, Small Animals and Pollution, having authored 116 papers that have together received 5.7k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (25 papers), Heavy metals in environment (22 papers), Animal testing and alternatives (20 papers), Chromium effects and bioremediation (13 papers), Carcinogens and Genotoxicity Assessment (11 papers), Tannin, Tannase and Anticancer Activities (9 papers), Phytochemicals and Antioxidant Activities (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 (1.2k citations), Biochemistry (407 citations), Small Animals (429 citations) and Applied Microbiology and Biotechnology (96 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, Environmental Research, Archives of Environmental Contamination and Toxicology and Applied and Environmental Microbiology.

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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