Jonathan Galeotti

654 citations
23 papers · 477 · h-index 7

Impact in

Papers in

    • Signaling Pathways in Disease 2
    • Epigenetics and DNA Methylation 2
    • Receptor Mechanisms and Signaling 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Jonathan Galeotti

21 papers receiving 474 citations

Peers

Jonathan Galeotti
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 112
  • Cardiology and Cardiovascular Medicine 139
  • Molecular Biology 290
  • Physiology 19
  • Geriatrics and Gerontology 16
Replace Marta Paiva with:
Marta Paiva United Kingdom
Anya Joyo United States
Liang Han China
Bingchao Qi China
Lei Jiao China
Shoko Sugiyama Japan
Gerhild Euler Germany
Tsuyoshi Toyokawa Japan
Florence Tortosa France
Ming Cui China
Jonathan Galeotti relative to Marta Paiva United Kingdom Marta Paiva's profile →
Citations per field
00.5×1.5×
Marta Paiva · 1×
Citations per year

Countries citing papers authored by Jonathan Galeotti

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Galeotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011186
2 200797
3 200679
4 200837
5 201218
6 202113
7 201611
8 20225
9 20205
10 20244
11 20164
12 20184
13 20163
14 20203
15 20222
16 20241
17 20241
18 20191
19 20231
20 20191

About Jonathan Galeotti

Jonathan Galeotti is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Hematology and Oncology, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Acute Myeloid Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (5 papers), Signaling Pathways in Disease (2 papers), Epigenetics and DNA Methylation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (112 citations), Cardiology and Cardiovascular Medicine (139 citations), Molecular Biology (290 citations), Physiology (19 citations) and Geriatrics and Gerontology (16 citations). Jonathan Galeotti has collaborated with scholars based in United States, Malawi and Italy. Frequent co-authors include Junichi Sadoshima, Peiyong Zhai, Massimo Volpe, Sebastiano Sciarretta, Thomas E. Wagner, Xianzhong Yu, Eric Holle, Hideharu Tomita, Atsuko Yatani and Shumin Gao. Their work appears in journals such as Circulation Research, Blood, British Journal of Haematology, Cardiovascular Research and BMC Cancer.

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.

Explore authors with similar magnitude of impact