Lorena Appio

2.6k citations
8 papers · 1.8k · 1 hit paper · h-index 4

Impact in

Papers in

Lorena Appio

6 papers receiving 1.8k citations

Lorena Appio's Hit Papers

Single-Agent Pixantrone as a Bridge to Autologous Stem Cell Transplantation in a Patient with Refractory Diffuse Large B-Cell Lymphoma 2017 · 1.6k citations
1.6k0+3+6Years since publication50010001.5k

Peers

Lorena Appio
Comparison fields: 5 of 58
  • Pathology and Forensic Medicine 1.1k
  • Genetics 318
  • Oncology 683
  • Neurology 285
  • Internal Medicine 46
Replace M. Engelhard with:
M. Engelhard Germany
Biljana Mihaljević Serbia
Martina Chiarucci Italy
Osnat Bairey Israel
Peter A. Riedell United States
Giovanni Serio Italy
Markus Bangerter Germany
Cathrin Skrabs Austria
Mars B. van ’t Veer Netherlands
Gerardo Musuraca Italy
Lorena Appio relative to M. Engelhard Germany M. Engelhard's profile →
Citations per field
00.5×10×15.8×
M. Engelhard · 1×
Citations per year

Countries citing papers authored by Lorena Appio

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Appio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Single-Agent Pixantrone as a Bridge to Autologous Stem Cell Transplantation in a Patient with Refractory Diffuse Large B-Cell Lymphoma
Hit paper breakdown →
20171609
2 2009135
3 201211
4 20098
5 20102
6 20241
7 20260
8 20190

About Lorena Appio

Lorena Appio is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Dermatology and Internal Medicine, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Chronic Lymphocytic Leukemia Research (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Genetics (318 citations), Oncology (683 citations), Neurology (285 citations) and Internal Medicine (46 citations). Lorena Appio has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Marco Bregni, Giovanni Serio, Martina Chiarucci, G. Crovetti, Alessandro Squizzato, Walter Ageno, Francesco Dentali, Anna Maria Grandi, Leonardo Campiotti and Mark Crowther. Their work appears in journals such as Chemotherapy, Hematology/Oncology Clinics of North America, Journal of Cutaneous Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Blood.

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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