Danielle Vicus

1.9k citations
83 papers · 1.0k indexed · h-index 18

Impact in

Papers in

Danielle Vicus

74 papers receiving 989 citations

Peers

Danielle Vicus
Comparison fields: 5 of 62
  • Obstetrics and Gynecology 453
  • Reproductive Medicine 475
  • Internal Medicine 63
  • Oncology 223
  • Epidemiology 233
Replace Nawar Latif with:
Nawar Latif United States
Geneviève Bouchard‐Fortier Canada
Ming Wu China
Jennifer K. Burzawa United States
Fatih Güçer Türkiye
Ricardo dos Reis Brazil
Çağatay Taşkıran Türkiye
Francesco Maneschi Italy
Joel Clemmer United States
Danny Cheng Hong Kong
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Citations per field
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Nawar Latif · 1×
Citations per year

Countries citing papers authored by Danielle Vicus

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Vicus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 200769
3 201963
4 201450
5 201043
6 201435
7 201032
8 201131
9 201931
10 201827
11 202026
12 201625
13 201024
14 201023
15 201920
16 201020
17 201820
18 201719
19 201517
20 202217

About Danielle Vicus

Danielle Vicus is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Internal Medicine, Epidemiology and Geriatrics and Gerontology, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (41 papers), Ovarian cancer diagnosis and treatment (33 papers), Cervical Cancer and HPV Research (24 papers), Uterine Myomas and Treatments (9 papers), BRCA gene mutations in cancer (7 papers), Colorectal and Anal Carcinomas (6 papers), Endometriosis Research and Treatment (6 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Obstetrics and Gynecology (453 citations), Reproductive Medicine (475 citations), Internal Medicine (63 citations), Oncology (223 citations) and Epidemiology (233 citations). Danielle Vicus has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Lilian T. Gien, Rachel Kupets, Allan Covens, Stéphane Laframboise, Liat Hogen, Geneviève Bouchard‐Fortier, Taymaa May, Sarah E. Ferguson, Marcus Q. Bernardini and Roy Mashiach. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Journal of Obstetrics and Gynaecology Canada, The American Journal of Surgical Pathology and American Journal of Obstetrics and Gynecology.

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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