Virginia Signal

615 citations
23 papers · 369 indexed · h-index 11
Topics
Global Cancer Incidence and Screening (3 papers)Diabetes Management and Education (3 papers)Testicular diseases and treatments (3 papers)

In The Last Decade

Virginia Signal

20 papers receiving 364 citations

Peers

Virginia Signal
Comparison fields: 5 of 74
  • Surgery 117
  • General Health Professions 80
  • Pharmacology 65
  • Public Health, Environmental and Occupational Health 63
  • Pediatrics, Perinatology and Child Health 57
Replace Aarão Mendes Pinto Neto with:
Aarão Mendes Pinto Neto Brazil
Mehdi Aloosh Canada
Hakan Nazik Türkiye
Payam Hakimian United States
A.M. Thulstrup Denmark
Helene Kirkegaard Denmark
Nina M. Clark United States
Yongmei Qin United States
Anne Richard France
Kavitha Vellanki United States
Virginia Signal relative to Aarão Mendes Pinto Neto Brazil Aarão Mendes Pinto Neto's profile →
Citations per field
00.5×7.8×
Aarão Mendes Pinto Neto · 1×
Citations per year

Countries citing papers authored by Virginia Signal

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Signal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Signal

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Signal. A scholar is included among the top collaborators of Virginia Signal 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 Virginia Signal. Virginia Signal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 8
5 13
6 14
7 5
8 15
9 21
10 3
11 9
12 7
13 9
14 10
15 92
16 24
17 5
18 88
19 19
20
Ethnicity and rectal cancer management in New Zealand.
11

About Virginia Signal

Virginia Signal is a scholar working on General Health Professions, Geriatrics and Gerontology and Reproductive Medicine, having authored 23 papers that have together received 369 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (3 papers), Diabetes Management and Education (3 papers) and Testicular diseases and treatments (3 papers). The work is most often cited by research in Urology (36 citations), Reproductive Medicine (47 citations) and Pharmacology (65 citations). Virginia Signal has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Diana Sarfati, Jason Gurney, James Stanley, Caroline Shaw, Katherine A. McGlynn, Lorenzo Richiardi, Richard Edwards, John M. Hutson, Tony R. Merriman and Melissa McLeod. Their work appears in journals such as Diabetologia, Human Reproduction and Journal of Medical Internet 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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