Alexia Iasonos

15.4k citations
266 papers · 10.3k indexed · 2 hit papers · h-index 51

Impact in

Papers in

Alexia Iasonos

253 papers receiving 10.2k citations

Hit Papers

Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships With Clinical Outcomes 2009 · 480 citations
480200820262014202050010001.5k2.0k

Peers

Alexia Iasonos
Comparison fields: 5 of 165
  • Reproductive Medicine 2.7k
  • Obstetrics and Gynecology 2.2k
  • Oncology 3.2k
  • Cancer Research 1.4k
  • Statistics and Probability 662
Replace Edward L. Trimble with:
Edward L. Trimble United States
Mark F. Munsell United States
Joan L. Warren United States
Isabelle Ray‐Coquard France
Paul Sabbatini United States
Roman Rouzier France
Marianna Zahurak United States
John K. Chan United States
Gerald E. Hanks United States
Nadia Howlader United States
Alexia Iasonos relative to Edward L. Trimble United States Edward L. Trimble's profile →
Citations per field
00.5×7.4×
Edward L. Trimble · 1×
Citations per year

Countries citing papers authored by Alexia Iasonos

Since Specialization
Citations

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

Fields of papers citing papers by Alexia Iasonos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20244
5 20230
6 20231
7 202312
8 20233
9 20220
10 20229
11 20213
12 202126
13 2019115
14 201923
15 20165
16 201511
17 201213
18 201144
19 201032
20 2010225

About Alexia Iasonos

Alexia Iasonos is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Statistics and Probability, Oncology and Cancer Research, having authored 266 papers that have together received 10.3k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (113 papers), Endometrial and Cervical Cancer Treatments (81 papers), Intraperitoneal and Appendiceal Malignancies (39 papers), Statistical Methods in Clinical Trials (37 papers), Cancer Genomics and Diagnostics (23 papers), Uterine Myomas and Treatments (21 papers), Renal cell carcinoma treatment (17 papers) and Health Systems, Economic Evaluations, Quality of Life (16 papers). The work is most often cited by research in Reproductive Medicine (2.7k citations), Obstetrics and Gynecology (2.2k citations), Oncology (3.2k citations), Cancer Research (1.4k citations) and Statistics and Probability (662 citations). Alexia Iasonos has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Deborah Schrag, Ganesh V. Raj, Katherine S. Panageas, Qin Zhou, Carol Aghajanian, Nadeem R. Abu‐Rustum, Richard R. Barakat, S. Dennis, John O’Quigley and Robert A. Soslow. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, International Journal of Gynecological Cancer, Clinical Cancer Research and Cancer.

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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