Eva Erber

28 papers receiving 973 citations

Peers

Eva Erber
Comparison fields: 5 of 94
  • Public Health, Environmental and Occupational Health 269
  • General Health Professions 222
  • Nutrition and Dietetics 117
  • Physiology 152
  • Endocrinology, Diabetes and Metabolism 93
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Yumie Takata United States
Bernadette Haas France
Xiao Ma China
Jocelyn Koo United States
Francesco Zito Italy
Jie Cao China
Nina Føns Johnsen Denmark
Mariapaola Lanti Italy
Gabriela Lewin Canada
Hyun Ja Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Eva Erber

Since Specialization
Citations

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

Fields of papers citing papers by Eva Erber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009115
2 200983
3 200980
4
Testing for induction of DNA synthesis in human hepatocyte primary cultures by rat liver tumor promoters.
199178
5 201070
6 201063
7 201053
8 201350
9 200844
10 201043
11 201036
12 201036
13 200934
14 200930
15 201227
16 200824
17 200921
18 200917
19 200917
20 201116

About Eva Erber

Eva Erber is a scholar working on General Health Professions, Pathology and Forensic Medicine, Oncology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Indigenous Studies and Ecology (8 papers), Nutritional Studies and Diet (5 papers), Cancer Risks and Factors (4 papers), Liver physiology and pathology (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Digital Radiography and Breast Imaging (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (269 citations), General Health Professions (222 citations), Nutrition and Dietetics (117 citations), Physiology (152 citations) and Endocrinology, Diabetes and Metabolism (93 citations). Eva Erber has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Gertraud Maskarinec, Beth Hopping, Laurence N. Kolonel, Sangita Sharma, Andrew Grandinetti, Martijn Verheus, Cindy Roache, Erin L. Mead, Tony Sheehy and Wolfram Parzefall. Their work appears in journals such as Journal of Human Nutrition and Dietetics, Diabetes, Journal of Nutrition, Journal of Health Population and Nutrition and Cancer Epidemiology Biomarkers & Prevention.

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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