Flavia Ejzykowicz

2.6k citations
42 papers · 387 · h-index 9

Impact in

Papers in

Flavia Ejzykowicz

37 papers receiving 383 citations

Peers

Flavia Ejzykowicz
Comparison fields: 5 of 49
  • Oncology 133
  • Endocrinology, Diabetes and Metabolism 77
  • Pulmonary and Respiratory Medicine 111
  • Cancer Research 23
  • Economics and Econometrics 29
Replace Isabella Bisceglia with:
Isabella Bisceglia Italy
Narayan Rajan United States
N. Varol United Kingdom
G. Lopes United States
Francis Parnis United States
Heather Beckwith United States
Aleksander Chudnovsky United States
Vicky Kang United States
Robin Schaffar Switzerland
Flavia Ejzykowicz relative to Isabella Bisceglia Italy Isabella Bisceglia's profile →
Citations per field
00.5×5.6×
Isabella Bisceglia · 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 201672
2 202262
3 201961
4 201950
5 202424
6 201921
7 201713
8 201513
9 202110
10 20187
11 20137
12 20245
13 20214
14 20213
15 20213
16 20193
17 20203
18 20233
19 20183
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 387 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (16 papers), Economic and Financial Impacts of Cancer (16 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers), Diabetes Treatment and Management (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Oncology (133 citations), Endocrinology, Diabetes and Metabolism (77 citations), Pulmonary and Respiratory Medicine (111 citations), Cancer Research (23 citations) and Economics and Econometrics (29 citations). Flavia Ejzykowicz has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Josephine Feliciano, Ralph P. Insinga, Thomas Burke, S Traoré, David J. Vanness, Kristel Vandormael, Swapnil Rajpathak, Steven I. Blum, Melissa Hamilton 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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