Diana Rofail

3.6k citations
43 papers · 1.2k indexed · 1 hit paper · h-index 16

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Medication Adherence and Compliance

Papers in

    • Iron Metabolism and Disorders 9
    • Hemoglobinopathies and Related Disorders 9

Diana Rofail

40 papers receiving 1.2k citations

Hit Papers

A literature review to explore the link between treatment satisfaction and adherence, compliance, and persistence 2012 · 406 citations
4062012202620162021100200300400

Peers

Diana Rofail
Comparison fields: 5 of 121
  • Genetics 425
  • Family Practice 84
  • Hematology 394
  • Geriatrics and Gerontology 55
  • Psychiatry and Mental health 195
Replace Jeff Borenstein with:
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Rimke C. Vos Netherlands
Zeba M. Khan United States
Shaloo Gupta United States
John Kwagyan United States
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Chris M Kozma United States
James Harnett United States
Mary Jarden Denmark
Diana Rofail relative to Jeff Borenstein United States Jeff Borenstein's profile →
Citations per field
00.5×3.2×
Jeff Borenstein · 1×
Citations per year

Countries citing papers authored by Diana Rofail

Since Specialization
Citations

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

Fields of papers citing papers by Diana Rofail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20232
3 20230
4 20235
5 202214
6 20223
7 20221
8 20162
9 201516
10 20156
11 201264
12 201140
13 201036
14 201011
15 201043
16 200915
17 200855
18 200736
19 200688
20 200534

About Diana Rofail

Diana Rofail is a scholar working on Hematology, Genetics, Neurology, Psychiatry and Mental health and Family Practice, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (9 papers), Hemoglobinopathies and Related Disorders (9 papers), Schizophrenia research and treatment (6 papers), Long-Term Effects of COVID-19 (6 papers), Patient Satisfaction in Healthcare (5 papers), COVID-19 and Mental Health (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Psychosomatic Disorders and Their Treatments (3 papers). The work is most often cited by research in Genetics (425 citations), Family Practice (84 citations), Hematology (394 citations), Geriatrics and Gerontology (55 citations) and Psychiatry and Mental health (195 citations). Diana Rofail has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Károly Kulich, N. Germain, Linda Abetz, Jean‐François Baladi, Richard Gray, Jon Allen, Helen Kitchen, Louise Heron, Kevin Gournay and Maria Domenica Cappellini. Their work appears in journals such as Advances in Therapy, Value in Health, Transfusion, BMJ Open and Neurology and Therapy.

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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