L Pacilli

635 citations
14 papers · 314 · h-index 9

Impact in

Papers in

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

L Pacilli

14 papers receiving 296 citations

Peers

L Pacilli
Comparison fields: 5 of 43
  • Hematology 105
  • Infectious Diseases 145
  • Small Animals 45
  • Otorhinolaryngology 25
  • Genetics 40
Replace Anna Tonso with:
Anna Tonso Italy
Zeinab Afify United States
Giulia Tolomelli Italy
K B Lee South Korea
L. S. Zubarovskaya Russia
D H Kim South Korea
Giulio Trapè Italy
M. Jurado Spain
János Sinkó Hungary
Cornelia Becker Germany
L Pacilli relative to Anna Tonso Italy Anna Tonso's profile →
Citations per field
00.5×1.5×
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 1997160
2 199030
3 198026
4 198022
5 201017
6 198711
7 198111
8
Sequential combination of methotrexate and L-asparaginase in the treatment of refractory acute leukemia.
198111
9 19849
10 19798
11 19834
12 19952
13 19812
14
Preliminary results of the combination methotrexate-asparaginase in patients with acute non lymphoid leukemia.
19781

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 314 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Neutropenia and Cancer Infections (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (105 citations), Infectious Diseases (145 citations), Small Animals (45 citations), Otorhinolaryngology (25 citations) and Genetics (40 citations). L Pacilli has collaborated with scholars based in Italy and France. Frequent co-authors include Annarita Cenacchi, Marco Montillo, Laura Cudillo, Paolo Ricci, Annamaria Nosari, A. Del Favero, Livio Pagano, Anna Tonso, Francesco Fabbiano and Sergio Amadori. Their work appears in journals such as British Journal of Haematology, Cancer, Acta Haematologica, American Journal of Hematology and Leukemia Research.

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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