LORRAINE C. GRAND

1.1k citations
9 papers · 885 indexed · 1 hit paper · h-index 7
Topics
Virus-based gene therapy research (1 paper)Single-cell and spatial transcriptomics (1 paper)Estrogen and related hormone effects (1 paper)
Partner nations
United StatesJapan

In The Last Decade

LORRAINE C. GRAND

9 papers receiving 710 citations

Hit Papers

Mammary Cancer Induced by a Single Feeding of Polynuclear...19612026198220041961200400600

Peers

LORRAINE C. GRAND
Comparison fields: 5 of 84
  • Genetics 301
  • Molecular Biology 291
  • Cancer Research 236
  • Oncology 224
  • Health, Toxicology and Mutagenesis 93
Replace Aurora Viaje with:
Aurora Viaje United States
Kenji Tokumo United States
C A Sattler United States
Jonathan J. Li United States
Susumu Akasaka Japan
Amy Pavone United States
Sara Antonia Li United States
I. Timmermann-Trosiener Germany
C Borek United States
Gail Duwe Canada
LORRAINE C. GRAND relative to Aurora Viaje United States Aurora Viaje's profile →
Citations per field
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Aurora Viaje · 1×
Citations per year

Countries citing papers authored by LORRAINE C. GRAND

Since Specialization
Citations

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

Fields of papers citing papers by LORRAINE C. GRAND

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LORRAINE C. GRAND. 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 LORRAINE C. GRAND. The network helps show where LORRAINE C. GRAND may publish in the future.

Co-authorship network of co-authors of LORRAINE C. GRAND

This figure shows the co-authorship network connecting the top 25 collaborators of LORRAINE C. GRAND. A scholar is included among the top collaborators of LORRAINE C. GRAND based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with LORRAINE C. GRAND. LORRAINE C. GRAND is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 18
3 28
4
Neoplasms evoked in male Sprague-Dawley rat by pulse doses of 7,12-dimethylbenz(a)anthracene.
20
5 78
6
Sarcoma Induced Remotely in Rats Fed 3-Methylcholanthrene
3
7
Mammary Cancer Induced by a Single Feeding of Polynuclear Hydrocarbons, and its Suppressionbreakdown →
642
8 46
9 49

About LORRAINE C. GRAND

LORRAINE C. GRAND is a scholar working on Cell Biology, Hematology and Oncology, having authored 9 papers that have together received 885 indexed citations. Recurring topics across this work include Virus-based gene therapy research (1 paper), Single-cell and spatial transcriptomics (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (236 citations), Genetics (301 citations) and Oncology (224 citations). LORRAINE C. GRAND has collaborated with scholars based in United States and Japan. Frequent co-authors include Charles Huggins, Charles Huggins, Ryo Fukunishi, Sotokichi Morii, Hisao Oka, Naohiko Ueda, Larry W. Kwak and Roger Williams. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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