Stephen Fiascone

493 citations
16 papers · 328 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Ovarian cancer diagnosis and treatment
    • Endometriosis Research and Treatment

Papers in

Stephen Fiascone

16 papers receiving 321 citations

Peers

Stephen Fiascone
Comparison fields: 5 of 57
  • Cancer Research 157
  • Reproductive Medicine 80
  • Obstetrics and Gynecology 51
  • Epidemiology 101
  • Health Informatics 3
Replace Richard Hadwin with:
Richard Hadwin United Kingdom
Aine Clements United States
Federica Sina Italy
Yoo‐Na Kim South Korea
Chuenkamon Charakorn Thailand
Mandy Man Yee Chu Hong Kong
Jessica D. St. Laurent United States
Paola Agnese Cassandrini Italy
Bent Fiane Norway
Alaa El‐Ghobashy United Kingdom
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Stephen Fiascone

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Fiascone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017107
2 201957
3 201733
4 201424
5 201722
6 202215
7 201914
8 202113
9 201812
10 20239
11 20157
12 20215
13 20184
14 20224
15 20191
16 20231

About Stephen Fiascone

Stephen Fiascone is a scholar working on Epidemiology, Obstetrics and Gynecology, Reproductive Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), Hepatitis B Virus Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Cancer Research (157 citations), Reproductive Medicine (80 citations), Obstetrics and Gynecology (51 citations), Epidemiology (101 citations) and Health Informatics (3 citations). Stephen Fiascone has collaborated with scholars based in United States, Hong Kong and Poland. Frequent co-authors include Kevin M. Elias, Ross S. Berkowitz, Allison F. Vitonis, György Frendl, Konrad Stawiski, Wojciech Fendler, Dipanjan Chowdhury, Daniel W. Cramer, Magdalena Kędzierska and Panagiotis A. Konstantinopoulos. Their work appears in journals such as Gynecologic Oncology, Obstetrics and Gynecology, Journal of Clinical Virology, Frontiers in Oncology and Journal of Minimally Invasive 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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