J.P. Cassuto

1.2k citations
34 papers · 737 · h-index 12

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Pneumocystis jirovecii pneumonia detection and treatment 3

J.P. Cassuto

33 papers receiving 708 citations

Peers

J.P. Cassuto
Comparison fields: 5 of 73
  • Genetics 144
  • Hepatology 98
  • Hematology 138
  • Virology 57
  • Infectious Diseases 171
Replace M J Cowan with:
M J Cowan United States
Abhay Patki United States
Shigehisa Mori Japan
R Cuthbert United Kingdom
J Maciejewski United States
Charikleia Kelaïdi France
Rogier van Gent Netherlands
J. C. O’Keane Ireland
J. A. Gastaut France
S Than United States
J.P. Cassuto relative to M J Cowan United States M J Cowan's profile →
Citations per field
00.5×3.9×
M J Cowan · 1×
Citations per year

Countries citing papers authored by J.P. Cassuto

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Cassuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Cassuto. 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 J.P. Cassuto. The network helps show where J.P. Cassuto may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000201
2 200992
3 200780
4 200568
5 199457
6 199343
7 200938
8 200528
9 200920
10 201314
11 198911
12 200011
13 19789
14 19778
15 19785
16
[Disseminated Penicillium marneffei infection suggesting visceral leishmaniasis in an HIV infected patient].
20005
17 19775
18 19894
19
The clinical value of urinary polyamine analyses in cancer patients.
19804
20 19994

About J.P. Cassuto

J.P. Cassuto is a scholar working on Genetics, Epidemiology, Hematology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 737 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Hepatitis C virus research (3 papers), Antifungal resistance and susceptibility (3 papers), Research on Leishmaniasis Studies (3 papers), Acute Myeloid Leukemia Research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Genetics (144 citations), Hepatology (98 citations), Hematology (138 citations), Virology (57 citations) and Infectious Diseases (171 citations). J.P. Cassuto has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include J.A. Gastaut, Bruno Spire, J. P. Moatti, J. Moreau, Patrizia Carrieri, Marcel Deckert, P Jeandel, Michel Ticchioni, Sophie Raynaud and Patrick Auberger. Their work appears in journals such as Oncogene, Leukemia, The Lancet, British Journal of Dermatology and Blood Cancer Journal.

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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