Victor Apprey

463 citations
25 papers · 341 indexed · h-index 10

Impact in

Papers in

    • Genetic Associations and Epidemiology 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Estrogen and related hormone effects 3
    • Vitamin D Research Studies 2

Victor Apprey

23 papers receiving 328 citations

Peers

Victor Apprey
Comparison fields: 5 of 95
  • Cancer Research 65
  • Pulmonary and Respiratory Medicine 92
  • Molecular Biology 129
  • Oncology 49
  • Genetics 48
Replace António with:
António Portugal
Gwang Il Kim South Korea
Joseph G. Voelkel United States
Yining Ye United States
Aboubakar Maitournam France
Giovanna Nicora Italy
J. U. Lovegrove United Kingdom
Qiuhong Liu China
Longjiang Chen China
Teresa Brooks United Kingdom
Victor Apprey relative to António Portugal António's profile →
Citations per field
00.5×4.8×
António · 1×
Citations per year

Countries citing papers authored by Victor Apprey

Since Specialization
Citations

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

Fields of papers citing papers by Victor Apprey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20219
3 20210
4 20202
5 20199
6 201913
7 20197
8 201813
9 20172
10
Use of tanning potential as a predictor for prostate cancer risk in African-American men.
20156
11 20123
12 201098
13 20101
14 200923
15
The Howard University Hospital experience with routineized HIV screening: a progress report.
20099
16 20072
17 20069
18 20051
19 20051
20 200338

About Victor Apprey

Victor Apprey is a scholar working on Genetics, Pathology and Forensic Medicine, Microbiology, Endocrine and Autonomic Systems and Biochemistry, having authored 25 papers that have together received 341 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Estrogen and related hormone effects (3 papers), Prostate Cancer Treatment and Research (3 papers), Vitamin D Research Studies (2 papers), Syphilis Diagnosis and Treatment (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (65 citations), Pulmonary and Respiratory Medicine (92 citations), Molecular Biology (129 citations), Oncology (49 citations) and Genetics (48 citations). Victor Apprey has collaborated with scholars based in United States and Canada. Frequent co-authors include G. Anandalingam, Bernard Kwabi‐Addo, Songping Wang, Michael Ittmann, Jaroslav Jelı́nek, Bi‐Dar Wang, Steven R. Patierno, Ramez Andrawis, Norman H. Lee and Woonbok Chung. Their work appears in journals such as BMC Genetics, The Prostate, Anticancer Research, Human Genetics and Cancer Genomics & Proteomics.

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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