Eeva Leinala

904 citations
8 papers · 576 · 1 hit paper · h-index 7

Impact in

Papers in

Eeva Leinala

7 papers receiving 565 citations

Eeva Leinala's Hit Papers

A New OECD Definition for Per- and Polyfluoroalkyl Substances 2021 · 380 citations
3800+1+3Years since publication100200300

Peers

Eeva Leinala
Comparison fields: 5 of 83
  • Environmental Chemistry 336
  • Health, Toxicology and Mutagenesis 301
  • Chemical Health and Safety 7
  • Atmospheric Science 144
  • Small Animals 55
Replace Michelle L. Twaroski with:
Michelle L. Twaroski United States
Fabian C. Fischer Germany
Anne E. Loccisano United States
Chuan-Hai Li China
Kyle Glover United States
Judith C. Stadler United States
Weiping Qin China
Janet E. Kester United States
William J. Fasano United States
Charles N. Lowe United States
Eeva Leinala relative to Michelle L. Twaroski United States Michelle L. Twaroski's profile →
Citations per field
00.5×10×12.5×
Michelle L. Twaroski · 1×
Citations per year

Countries citing papers authored by Eeva Leinala

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Leinala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
A New OECD Definition for Per- and Polyfluoroalkyl Substances
Hit paper breakdown →
2021380
2 201863
3 201661
4 201933
5 201718
6 202315
7 20156
8 20240

About Eeva Leinala

Eeva Leinala is a scholar working on Small Animals, Plant Science, Computational Theory and Mathematics, Environmental Chemistry and Economics and Econometrics, having authored 8 papers that have together received 576 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (3 papers), Animal testing and alternatives (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Agricultural safety and regulations (2 papers), Computational Drug Discovery Methods (2 papers), Per- and polyfluoroalkyl substances research (1 paper), Chemical Safety and Risk Management (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Environmental Chemistry (336 citations), Health, Toxicology and Mutagenesis (301 citations), Chemical Health and Safety (7 citations), Atmospheric Science (144 citations) and Small Animals (55 citations). Eeva Leinala has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Olof Johansson, Koichi Ohno, Zhanyun Wang, Ann M. Richard, Ian T. Cousins, Wiebke Drost, Grace Patlewicz, Andreas M. Buser, Yuki Sakuratani and Magdalini Sachana. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, Integrated Environmental Assessment and Management, Environmental Science & Technology, Alternatives to Laboratory Animals and Regulatory Toxicology and Pharmacology.

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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