Doina Ivan

5.1k citations
138 papers · 3.4k · h-index 33

Impact in

  • Dermatology top 0.2%
    • Cancer and Skin Lesions
    • Cutaneous lymphoproliferative disorders research
  • Oncology top 1%
    • Cutaneous Melanoma Detection and Management
    • Cancer Diagnosis and Treatment

Papers in

    • Cutaneous Melanoma Detection and Management 39
    • Cancer Diagnosis and Treatment 11
    • Vascular Tumors and Angiosarcomas 8
    • Cancer and Skin Lesions 35
    • Cutaneous lymphoproliferative disorders research 17

Doina Ivan

134 papers receiving 3.2k citations

Peers

Doina Ivan
Comparison fields: 5 of 83
  • Dermatology 1.3k
  • Oncology 1.6k
  • Pathology and Forensic Medicine 576
  • Epidemiology 836
  • Ophthalmology 197
Replace Melissa Pulitzer with:
Melissa Pulitzer United States
Florent Grange France
Hisashi Uhara Japan
Carlos A. Torres‐Cabala United States
Scott W. Binder United States
Priyadharsini Nagarajan United States
B. Vergier France
Danny Ghazarian Canada
Jeffrey P. North United States
Maxime Battistella France
Doina Ivan relative to Melissa Pulitzer United States Melissa Pulitzer's profile →
Citations per field
00.5×1.5×2.5×
Melissa Pulitzer · 1×
Citations per year

Countries citing papers authored by Doina Ivan

Since Specialization
Citations

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

Fields of papers citing papers by Doina Ivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009166
2 2009151
3 2010124
4 2012115
5 2003112
6 2016110
7 200697
8 200492
9 201287
10 201286
11 200974
12 201773
13 200966
14 200964
15 200963
16 201762
17 201655
18 201154
19 201453
20 201351

About Doina Ivan

Doina Ivan is a scholar working on Oncology, Dermatology, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 138 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (39 papers), Cancer and Skin Lesions (35 papers), Nonmelanoma Skin Cancer Studies (29 papers), Cutaneous lymphoproliferative disorders research (17 papers), Melanoma and MAPK Pathways (16 papers), Cancer Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (8 papers) and Vascular Tumors and Angiosarcomas (8 papers). The work is most often cited by research in Dermatology (1.3k citations), Oncology (1.6k citations), Pathology and Forensic Medicine (576 citations), Epidemiology (836 citations) and Ophthalmology (197 citations). Doina Ivan has collaborated with scholars based in United States, Philippines and Spain. Frequent co-authors include Víctor G. Prieto, Carlos A. Torres‐Cabala, Phyu P. Aung, Alexander J. Lazar, Jonathan L. Curry, A. Hafeez Diwan, Michael T. Tetzlaff, Priyadharsini Nagarajan, Bita Esmaeli and Wei‐Lien Wang. Their work appears in journals such as Journal of Cutaneous Pathology, American Journal of Dermatopathology, Modern Pathology, Archives of Pathology & Laboratory Medicine and Human Pathology.

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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