Flavia Ejzykowicz

2.5k citations
42 papers · 367 · h-index 9

Impact in

Papers in

Flavia Ejzykowicz

33 papers receiving 363 citations

Peers

Flavia Ejzykowicz
Comparison fields: 5 of 53
  • Oncology 173
  • Endocrinology, Diabetes and Metabolism 100
  • Pulmonary and Respiratory Medicine 158
  • Cancer Research 47
  • Economics and Econometrics 65
Replace Danielle Crawley with:
Danielle Crawley United Kingdom
N. Varol United Kingdom
Muriel Licour France
P. Stattin Sweden
Cheng‐Ming Peng Taiwan
Norman G. Nicolson United States
Teresa Parli United States
Raymond Henderson United Kingdom
Margaret Graham Ireland
Heather Beckwith United States
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Citations per field
00.5×1.5×2.3×
Danielle Crawley · 1×
Citations per year

Countries citing papers authored by Flavia Ejzykowicz

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Ejzykowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201961
3 202260
4 201948
5 202420
6 201920
7 201513
8 201713
9 20219
10 20187
11 20137
12 20245
13 20214
14 20203
15 20193
16 20213
17 20183
18 20233
19 20213
20 20232

About Flavia Ejzykowicz

Flavia Ejzykowicz is a scholar working on Pulmonary and Respiratory Medicine, Economics and Econometrics, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 367 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (19 papers), Renal cell carcinoma treatment (17 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Cancer Immunotherapy and Biomarkers (10 papers), Diabetes Treatment and Management (6 papers), Diabetes Management and Research (5 papers), Renal and related cancers (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (173 citations), Endocrinology, Diabetes and Metabolism (100 citations), Pulmonary and Respiratory Medicine (158 citations), Cancer Research (47 citations) and Economics and Econometrics (65 citations). Flavia Ejzykowicz has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Thomas Burke, Ralph P. Insinga, Josephine Feliciano, S Traoré, David J. Vanness, Kristel Vandormael, David Cella, Melissa Hamilton, Swapnil Rajpathak and Cristina Ivanescu. Their work appears in journals such as Journal of Clinical Oncology, Value in Health, Annals of Oncology, Journal of Medical Economics and Clinical Therapeutics.

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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