Gabriele Buda

2.5k citations
93 papers · 937 · h-index 16

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 34
    • Chronic Myeloid Leukemia Treatments 9
    • Peptidase Inhibition and Analysis 14
    • Drug Transport and Resistance Mechanisms 7

Gabriele Buda

85 papers receiving 922 citations

Peers

Gabriele Buda
Comparison fields: 5 of 87
  • Hematology 215
  • Genetics 137
  • Oncology 280
  • Pathology and Forensic Medicine 143
  • Nephrology 56
Replace Bianca Serio with:
Bianca Serio Italy
Dehui Zou China
Muna Qayed United States
Xiaoli Zhao China
Mojtaba Akhtari United States
Young‐Woo Jeon South Korea
Monika Prochorec‐Sobieszek Poland
Jia Wei China
Yanmei Xu China
Walter Longo United States
Gabriele Buda relative to Bianca Serio Italy Bianca Serio's profile →
Citations per field
00.5×4.2×
Bianca Serio · 1×
Citations per year

Countries citing papers authored by Gabriele Buda

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Buda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200868
2 202066
3 202252
4 202147
5 201046
6 201841
7 200736
8 201936
9 200734
10 202031
11 201828
12 200928
13 200927
14 200826
15 201124
16 201020
17 200715
18
Extended spectrum â-lactamase producing multidrug resistant clinical bacterial isolates at National Public Health Laboratory, Nepal.
201115
19 200715
20 201014

About Gabriele Buda

Gabriele Buda is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 93 papers that have together received 937 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (34 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Peptidase Inhibition and Analysis (14 papers), Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Chronic Myeloid Leukemia Treatments (9 papers), Protein Degradation and Inhibitors (8 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Hematology (215 citations), Genetics (137 citations), Oncology (280 citations), Pathology and Forensic Medicine (143 citations) and Nephrology (56 citations). Gabriele Buda has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario Petrini, Sara Galimberti, Enrico Orciuolo, Giuseppe Vergaro, Giovanni Carulli, Angela Pucci, Fortunato Morabito, Valentina Maggini, Roberto Barale and Anna Maria Rossi. Their work appears in journals such as Blood, Leukemia Research, Acta Haematologica, European Journal Of Haematology 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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