Daniela Gottardi

19 papers receiving 1.0k citations

Peers

Daniela Gottardi
Comparison fields: 5 of 68
  • Genetics 575
  • Pathology and Forensic Medicine 341
  • Geriatrics and Gerontology 62
  • Immunology 371
  • Physiology 64
Replace Bryan Ciccarelli with:
Bryan Ciccarelli United States
Justin C. Boysen United States
Domenico Levato Italy
Timothy J. Murphy United States
Marzia Palma Sweden
John N. Allan United States
Elisa ten Hacken United States
Piers Patten United Kingdom
N Huang Japan
H Tanaka Japan
Daniela Gottardi relative to Bryan Ciccarelli United States Bryan Ciccarelli's profile →
Citations per field
00.5×5.8×
Bryan Ciccarelli · 1×
Citations per year

Countries citing papers authored by Daniela Gottardi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gottardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001272
2 1999236
3 2003178
4 2011139
5 199431
6 199330
7
Molecular investigation of the cytokines produced by normal and malignant B lymphocytes.
199230
8 201223
9 201418
10 201717
11 201616
12 201310
13 20216
14 20055
15 20152
16 20091
17 20191
18 20101
19 20211
20 20240

About Daniela Gottardi

Daniela Gottardi is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Epidemiology, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Calcium signaling and nucleotide metabolism (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), PARP inhibition in cancer therapy (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (575 citations), Pathology and Forensic Medicine (341 citations), Geriatrics and Gerontology (62 citations), Immunology (371 citations) and Physiology (64 citations). Daniela Gottardi has collaborated with scholars based in Italy, Sweden and Egypt. Frequent co-authors include Federico Caligaris‐Cappio, Paolo Ghia, Paola Circosta, Giuliana Strola, Massimo Geuna, Kenneth Nilsson, Luisa Granziero, Licia Montagna, Marco Chilosi and P Piccoli. Their work appears in journals such as Blood, Leukemia Research, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Human Gene Therapy and La radiologia medica.

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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