S. Fava

472 citations
22 papers · 288 · h-index 9

Impact in

Papers in

S. Fava

20 papers receiving 282 citations

Peers

S. Fava
Comparison fields: 5 of 44
  • Gastroenterology 55
  • Pulmonary and Respiratory Medicine 129
  • Oncology 104
  • Hepatology 30
  • Hematology 25
Replace P. Sandbichler with:
P. Sandbichler Austria
Yong Fang China
Ahmet Dinççağ Türkiye
E. Bardaxoglou France
Daisuke Korenaga Japan
Abdul Hamid El Chafic United States
Seiyuu Suzuki Japan
Luca Degrate Italy
Kazuo Narushima Japan
Mohammed Ilyas United States
S. Fava relative to P. Sandbichler Austria P. Sandbichler's profile →
Citations per field
00.5×6.3×
P. Sandbichler · 1×
Citations per year

Countries citing papers authored by S. Fava

Since Specialization
Citations

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

Fields of papers citing papers by S. Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002105
2
Acute hepatic toxicity during cyclic chemotherapy in non Hodgkin's lymphoma.
199745
3 201524
4 200022
5 201414
6
Retroperitoneal hemorrhage following bone marrow biopsy.
200411
7
Undifferentiated granulocytic sarcoma: a case with epidural onset preceding acute promyelocytic leukemia.
199511
8
Idiopathic hypereosinophilic syndrome and "eosinophilic leukemia".
199310
9 20018
10 20018
11
Pericarditis during interferon-alpha therapy in chronic myelogenous leukemia.
19976
12 20186
13 20195
14
Granulocytic sarcoma: a case probably cured.
19884
15 19983
16 20251
17 20071
18 19951
19
[Prolymphocytic leukemia: the therapeutic strategy].
19941
20 20071

About S. Fava

S. Fava is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Dermatology and Hematology, having authored 22 papers that have together received 288 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (9 papers), Breast Cancer Treatment Studies (4 papers), Acute Myeloid Leukemia Research (3 papers), Chemotherapy-related skin toxicity (3 papers), HER2/EGFR in Cancer Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Advanced Breast Cancer Therapies (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Gastroenterology (55 citations), Pulmonary and Respiratory Medicine (129 citations), Oncology (104 citations), Hepatology (30 citations) and Hematology (25 citations). S. Fava has collaborated with scholars based in Italy, United States and Thailand. Frequent co-authors include M Luoni, Anna Tosi, Angelo Tocci, Maria Di Bartolomeo, Giovanni Pietro Ianniello, M. Visini, Roberto Buzzoni, Federico Bozzetti, G. Schieppati and G. Pinotti. Their work appears in journals such as Annals of Oncology, Oncology Reports, British Journal of Cancer, Journal of Clinical Oncology and Environment International.

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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