Maths Berlin

2.6k citations
61 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Maths Berlin

60 papers receiving 1.7k citations

Peers

Maths Berlin
Comparison fields: 5 of 138
  • Health, Toxicology and Mutagenesis 1.2k
  • Chemical Health and Safety 18
  • Nutrition and Dietetics 395
  • Cancer Research 175
  • Pharmacology 76
Replace L Alessio with:
L Alessio Italy
Junzo Yonemoto Japan
Larry K. Lowry United States
K. H. Schaller Germany
C.W. Jameson United States
Tetsuo Nomiyama Japan
D. C. Villeneuve Canada
Grażyna Zaręba United States
Claude Emond Canada
Morando Soffritti Italy
Maths Berlin relative to L Alessio Italy L Alessio's profile →
Citations per field
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L Alessio · 1×
Citations per year

Countries citing papers authored by Maths Berlin

Since Specialization
Citations

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

Fields of papers citing papers by Maths Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963219
2 1963132
3 1963107
4 197588
5 196984
6 196674
7 196360
8 198158
9 199656
10 197552
11 196350
12 196549
13 198446
14 198746
15 196337
16 198037
17 196035
18 199534
19 198534
20 197532

About Maths Berlin

Maths Berlin is a scholar working on Health, Toxicology and Mutagenesis, Chemical Health and Safety, Analytical Chemistry, General Dentistry and Cancer Research, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (25 papers), Heavy Metal Exposure and Toxicity (16 papers), Analytical chemistry methods development (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Trace Elements in Health (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Indoor Air Quality and Microbial Exposure (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Chemical Health and Safety (18 citations), Nutrition and Dietetics (395 citations), Cancer Research (175 citations) and Pharmacology (76 citations). Maths Berlin has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Sven Ullberg, Gunnar F. Nordberg, Anders Tunek, Tor Norseth, Joyce Carlson, Tor Olofsson, H. von Ubisch, J. C. Gage, Karin Warfvinge and Andrejs Schütz. Their work appears in journals such as Scandinavian Journal of Work Environment & Health, American Journal of Industrial Medicine, Toxicology and Applied Pharmacology, Nature and Obstetrics and Gynecology.

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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