Nina Hallmark

1.2k citations
27 papers · 1.0k indexed · h-index 14

Impact in

Papers in

Nina Hallmark

26 papers receiving 1.0k citations

Peers

Nina Hallmark
Comparison fields: 5 of 78
  • Health, Toxicology and Mutagenesis 697
  • Reproductive Medicine 212
  • Cancer Research 212
  • Pediatrics, Perinatology and Child Health 193
  • Urology 51
Replace Norman J. Barlow with:
Norman J. Barlow United States
I. Kim Mahood United Kingdom
Peter Mann United States
Duncan G. Wallace United States
Tanvi Doshi India
Simone Wichert Grande Germany
Emily Brehm United States
Caroline M. Markey United States
Jorma Toppari Finland
Ana Cheong United States
Nina Hallmark relative to Norman J. Barlow United States Norman J. Barlow's profile →
Citations per field
00.5×1.6×
Norman J. Barlow · 1×
Citations per year

Countries citing papers authored by Nina Hallmark

Since Specialization
Citations

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

Fields of papers citing papers by Nina Hallmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20235
3 20230
4 202217
5 20222
6 202115
7 20212
8 20212
9 202019
10 20186
11 20183
12 20139
13 201029
14 200743
15 2007125
16 2006158
17 200677
18 2005106
19 200567
20 2004180

About Nina Hallmark

Nina Hallmark is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Reproductive Medicine, Endocrine and Autonomic Systems and Pollution, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (14 papers), Carcinogens and Genotoxicity Assessment (5 papers), Pluripotent Stem Cells Research (4 papers), Molecular Biology Techniques and Applications (4 papers), Thyroid Disorders and Treatments (4 papers), Agricultural safety and regulations (3 papers), Renal and related cancers (3 papers) and Sexual Differentiation and Disorders (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (697 citations), Reproductive Medicine (212 citations), Cancer Research (212 citations), Pediatrics, Perinatology and Child Health (193 citations) and Urology (51 citations). Nina Hallmark has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Richard M. Sharpe, I. Kim Mahood, Hayley M. Scott, Chris McKinnell, Marion Walker, Jane S. Fisher, Richard W. Brown, Richard Ivell, Stefan Hartung and Rosemary A. L. Bayne. Their work appears in journals such as Endocrinology, Reproductive Toxicology, Critical Reviews in Toxicology, Integrated Environmental Assessment and Management and Toxicological Sciences.

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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