Daniela Lima

916 citations
22 papers · 814 · h-index 16

Impact in

Papers in

Daniela Lima

19 papers receiving 803 citations

Peers

Daniela Lima
Comparison fields: 5 of 81
  • Health, Toxicology and Mutagenesis 434
  • Physiology 123
  • Ocean Engineering 270
  • Pollution 178
  • Aquatic Science 90
Replace Scott Steinert with:
Scott Steinert United States
Francesca Zito Italy
Juliana Zomer Sandrini Brazil
B. Marchi Italy
Susana Galante‐Oliveira Portugal
Hiroshi Urushitani Japan
Sylvie Bony France
Gyung Soo Park South Korea
Lilai Yuan China
Kazuhiko Mochida Japan
Daniela Lima relative to Scott Steinert United States Scott Steinert's profile →
Citations per field
00.5×3.3×
Scott Steinert · 1×
Citations per year

Countries citing papers authored by Daniela Lima

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 201596
3 201588
4 201080
5 201551
6 201444
7 200742
8 201742
9 200738
10 200736
11 201529
12 200823
13 200822
14 201222
15 200817
16 201015
17 201710
18 20125
19 20101
20 20230

About Daniela Lima

Daniela Lima is a scholar working on Health, Toxicology and Mutagenesis, Ocean Engineering, Pollution, Aquatic Science and Physiology, having authored 22 papers that have together received 814 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (13 papers), Marine Biology and Environmental Chemistry (10 papers), Reproductive biology and impacts on aquatic species (4 papers), Aquaculture Nutrition and Growth (4 papers), Marine Ecology and Invasive Species (3 papers), Toxic Organic Pollutants Impact (3 papers), Microplastics and Plastic Pollution (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (434 citations), Physiology (123 citations), Ocean Engineering (270 citations), Pollution (178 citations) and Aquatic Science (90 citations). Daniela Lima has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include Miguel M. Santos, M.A. Reis-Henriques, L. Filipe C. Castro, Vítor M. Correlo, Rui L. Reis, Mariana R. Carvalho, Joaquím M. Oliveira, Carlos A. Melo, Ana Machado and Tsuyoshi Nakanishi. Their work appears in journals such as Aquatic Toxicology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Bulletin of Environmental Contamination and Toxicology, Endocrinology and Environment International.

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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