Bettina Fabiani

5.7k citations
84 papers · 2.5k indexed · h-index 27

Impact in

Papers in

Bettina Fabiani

80 papers receiving 2.4k citations

Peers

Bettina Fabiani
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 1.4k
  • Dermatology 331
  • Oncology 991
  • Genetics 370
  • Immunology 619
Replace John G. Strickler with:
John G. Strickler United States
Morishige Takeshita Japan
Gerald E. Byrne United States
Emilio Iannitto Italy
Bachir Alobeid United States
Onsi W. Kamel United States
Richard J. Bende Netherlands
Wing Y. Au China
C. De Wolf‐Peeters Belgium
William G. Morice United States
Bettina Fabiani relative to John G. Strickler United States John G. Strickler's profile →
Citations per field
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John G. Strickler · 1×
Citations per year

Countries citing papers authored by Bettina Fabiani

Since Specialization
Citations

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

Fields of papers citing papers by Bettina Fabiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202118
4 202010
5 201817
6 201714
7 201755
8 201722
9 201667
10 201421
11
Correlation between RNA and protein levels in a large european series from the LYSA
20131
12 201273
13 201221
14 200714
15 2006170
16 200448
17
Prognostic factors for aggressive lymphoma patients treated with front-line autotransplantation after complete remission: A cohort study on 330 patients
20031
18 200216
19 199766
20 1985159

About Bettina Fabiani

Bettina Fabiani is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Gastroenterology and Immunology, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (37 papers), Viral-associated cancers and disorders (19 papers), Chronic Lymphocytic Leukemia Research (11 papers), Immune Cell Function and Interaction (8 papers), Cutaneous lymphoproliferative disorders research (6 papers), Genetic factors in colorectal cancer (5 papers), Gastrointestinal Tumor Research and Treatment (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.4k citations), Dermatology (331 citations), Oncology (991 citations), Genetics (370 citations) and Immunology (619 citations). Bettina Fabiani has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Philippe Gaulard, Corinne Haïoun, Christiane Copie‐Bergman, Marie‐Hélène Delfau‐Larue, Jehan Dupuis, Marie Parrens, Laurence de Leval, Laurence Lamant, Jean-Philippe Jaı̈s and Jean–François Fléjou. Their work appears in journals such as Blood, Annals of Oncology, The American Journal of Surgical Pathology, Transplantation and Hematological Oncology.

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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