Jill E. Kucab

2.3k citations
26 papers · 1.7k indexed · 1 hit paper · h-index 18

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 5
    • Cancer Genomics and Diagnostics 4
    • Cancer-related Molecular Pathways 8

Jill E. Kucab

26 papers receiving 1.7k citations

Hit Papers

A Compendium of Mutational Signatures of Environmental Agents 2019 · 358 citations
3582019202620212023100200300

Peers

Jill E. Kucab
Comparison fields: 5 of 101
  • Cancer Research 592
  • Health, Toxicology and Mutagenesis 228
  • Pharmacology 140
  • Immunology and Allergy 84
  • Molecular Biology 913
Replace Ayako Sakai with:
Ayako Sakai Japan
Huei Lee Taiwan
Shiro Yokoyama Japan
Claudio Luparello Italy
Andrew G. Stead United States
Richard D. Storer United States
Richard Edwards United Kingdom
Yukihiro Kondo Japan
Xi Sun China
Karen Earley United States
Jill E. Kucab relative to Ayako Sakai Japan Ayako Sakai's profile →
Citations per field
00.5×4.2×
Ayako Sakai · 1×
Citations per year

Countries citing papers authored by Jill E. Kucab

Since Specialization
Citations

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

Fields of papers citing papers by Jill E. Kucab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill E. Kucab. 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 Jill E. Kucab. The network helps show where Jill E. Kucab may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202027
3 20205
4
A Compendium of Mutational Signatures of Environmental Agents
Hit paper breakdown →
2019358
5 2015143
6 201511
7 201537
8 201417
9 201480
10 20141
11 2013185
12 201217
13 201252
14 201059
15 201045
16 2005249
17 20056
18 200576
19 200471
20 200249

About Jill E. Kucab

Jill E. Kucab is a scholar working on Cancer Research, Oncology, Pharmacology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), DNA Repair Mechanisms (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Nephrotoxicity and Medicinal Plants (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Cancer Research (592 citations), Health, Toxicology and Mutagenesis (228 citations), Pharmacology (140 citations), Immunology and Allergy (84 citations) and Molecular Biology (913 citations). Jill E. Kucab has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Volker M. Arlt, David H. Phillips, Sandra E. Dunn, Serena Nik‐Zainal, Sandro Morganella, Arjun S. Nanda, Xueqing Zou, Eszter Nagy, Céline Gomez and Rebecca Harris. Their work appears in journals such as FEBS Journal, Mutagenesis, Environmental and Molecular Mutagenesis, Archives of Toxicology and Cancer Research.

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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