V. Proud

451 citations
10 papers · 314 · h-index 9

Impact in

    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders
    • Genomics and Rare Diseases
    • DNA Repair Mechanisms
    • Renal and related cancers
    • CRISPR and Genetic Engineering

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 1
    • Epigenetics and DNA Methylation 1
    • DNA Repair Mechanisms 1
    • BRCA gene mutations in cancer 2
    • Genomic variations and chromosomal abnormalities 2
    • Genomics and Rare Diseases 1
    • Animal Genetics and Reproduction 1

V. Proud

10 papers receiving 309 citations

Peers

V. Proud
Comparison fields: 5 of 61
  • Genetics 149
  • Molecular Biology 198
  • Issues, ethics and legal aspects 3
  • Library and Information Sciences 4
  • Health Information Management 10
Replace Aida I. Al Aqeel with:
Aida I. Al Aqeel Saudi Arabia
P. De Mas France
Nancy Hanson United States
Shane C. Quinonez United States
Kristen Rasmussen United States
Osvaldo Artigalás Brazil
A O'Rourke United Kingdom
Hólmfríður Hilmarsdóttir Iceland
Marina Koltšina Estonia
Simone Schiller Germany
V. Proud relative to Aida I. Al Aqeel Saudi Arabia Aida I. Al Aqeel's profile →
Citations per field
00.5×1.5×
Aida I. Al Aqeel · 1×
Citations per year

Countries citing papers authored by V. Proud

Since Specialization
Citations

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

Fields of papers citing papers by V. Proud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003123
2 199751
3 200131
4 199728
5 200724
6 199216
7 199012
8 199112
9
Teaching human genetics in biochemistry by computer literature searching.
198911
10
Students online: learning medical genetics.
19936

About V. Proud

V. Proud is a scholar working on Molecular Biology, Genetics, General Health Professions, Communication and Health, having authored 10 papers that have together received 314 indexed citations. Recurring topics across this work include Health Sciences Research and Education (3 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), DNA Repair Mechanisms (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (149 citations), Molecular Biology (198 citations), Issues, ethics and legal aspects (3 citations), Library and Information Sciences (4 citations) and Health Information Management (10 citations). V. Proud has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include E. Diane Johnson, Kenneth Offit, Thomas Scholl, Helmut Hanenberg, Arleen D. Auerbach, Khédoudja Nafa, Orna Levran, Brendan Mullaney, Sat Dev Batish and Roberta A. Diotti. Their work appears in journals such as Human Genetics, Genomics, Mayo Clinic Proceedings, Human Molecular Genetics and Academic 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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