Leane Lehmann

46 papers receiving 1.4k citations

Peers

Leane Lehmann
Comparison fields: 5 of 97
  • Pathology and Forensic Medicine 254
  • Cancer Research 212
  • Health, Toxicology and Mutagenesis 207
  • Plant Science 529
  • Biochemistry 66
Replace Salwa Abid‐Essefi with:
Salwa Abid‐Essefi Tunisia
Xiujuan Zhao China
Sandra M. Nijmeijer Netherlands
José Baptista Portugal
Itsuko Fukuda Japan
Ameeta K. Agarwal United States
Georg Kretzschmar Germany
Intidhar Ben Salem Tunisia
Aimee L. Eggler United States
Lesley Larsen New Zealand
Leane Lehmann relative to Salwa Abid‐Essefi Tunisia Salwa Abid‐Essefi's profile →
Citations per field
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Salwa Abid‐Essefi · 1×
Citations per year

Countries citing papers authored by Leane Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Leane Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005192
2 2006164
3 2002104
4 200486
5 200274
6 200772
7 201867
8 200662
9 200550
10 200446
11 200643
12 200836
13 201334
14 200633
15 199632
16 200731
17 201831
18 200730
19 201427
20 201422

About Leane Lehmann

Leane Lehmann is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cancer Research and Plant Science, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Phytoestrogen effects and research (14 papers), Carcinogens and Genotoxicity Assessment (9 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Mycotoxins in Agriculture and Food (6 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Cancer Risks and Factors (5 papers) and Plant Genetic and Mutation Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (254 citations), Cancer Research (212 citations), Health, Toxicology and Mutagenesis (207 citations), Plant Science (529 citations) and Biochemistry (66 citations). Leane Lehmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jörg Wagner, Manfred Metzler, M. Metzler, David M. Schumacher, Harald L. Esch, Sabine E. Kulling, Gabriele Ludewig, Larry W. Robertson, Joachim Podlech and K. M. Koch. Their work appears in journals such as Archives of Toxicology, Toxicology Letters, Molecular Nutrition & Food Research, Advances in experimental medicine and biology and Steroids.

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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