L Pacilli

636 citations
14 papers · 324 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Antifungal resistance and susceptibility

Papers in

    • Acute Myeloid Leukemia Research 6
    • Multiple Myeloma Research and Treatments 2
    • Chronic Lymphocytic Leukemia Research 6

L Pacilli

13 papers receiving 295 citations

Peers

L Pacilli
Comparison fields: 5 of 40
  • Hematology 108
  • Infectious Diseases 143
  • Small Animals 38
  • Otorhinolaryngology 19
  • Epidemiology 111
Replace Anna Tonso with:
Anna Tonso Italy
M. D. Hamon United Kingdom
K B Lee South Korea
D H Kim South Korea
P Drakos Israel
B Erer Italy
M C Petti Italy
Karen Manion United States
János Sinkó Hungary
Feroze Momin United States
L Pacilli relative to Anna Tonso Italy Anna Tonso's profile →
Citations per field
00.5×1.6×
Anna Tonso · 1×
Citations per year

Countries citing papers authored by L Pacilli

Since Specialization
Citations

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

Fields of papers citing papers by L Pacilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1997168
2 198031
3 199031
4 198023
5 201017
6
Sequential combination of methotrexate and L-asparaginase in the treatment of refractory acute leukemia.
198113
7 198111
8 198711
9 19799
10 19834
11 19953
12 19812
13
Preliminary results of the combination methotrexate-asparaginase in patients with acute non lymphoid leukemia.
19781
14 20090

About L Pacilli

L Pacilli is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Neutropenia and Cancer Infections (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (108 citations), Infectious Diseases (143 citations), Small Animals (38 citations), Otorhinolaryngology (19 citations) and Epidemiology (111 citations). L Pacilli has collaborated with scholars based in Italy and France. Frequent co-authors include Livio Pagano, Anna Tonso, Marco Montillo, Francesco Fabbiano, Annarita Cenacchi, Annamaria Nosari, A. Del Favero, Paolo Ricci, Laura Cudillo and Sergio Amadori. Their work appears in journals such as British Journal of Haematology, American Journal of Hematology, Acta Haematologica, Cancer and Annals of Hematology.

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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