M.J. Pettenati

12 papers receiving 481 citations

M.J. Pettenati's Hit Papers

Identification of a human gene (HCK) that encodes a protein-tyrosine kinase and is expressed in hemopoietic cells. 1987 · 253 citations
2530+13+26Years since publication50100150200250

Peers

M.J. Pettenati
Comparison fields: 5 of 80
  • Oral Surgery 90
  • Urology 47
  • Hematology 78
  • Orthodontics 31
  • Periodontics 32
Replace Giuseppina Ferrero with:
Giuseppina Ferrero Italy
Yuji Fujimura Japan
Seiji Goda Japan
Gisela Ruiz‐Heiland Germany
Melinda A. Borrello United States
Rajat Bansal United States
Patrick O. Emanuel United States
Th. M. Vroom Netherlands
Kyle B. Jones United States
Hongshan Zhao China
M.J. Pettenati relative to Giuseppina Ferrero Italy Giuseppina Ferrero's profile →
Citations per field
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Giuseppina Ferrero · 1×
Citations per year

Countries citing papers authored by M.J. Pettenati

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Pettenati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Identification of a human gene (HCK) that encodes a protein-tyrosine kinase and is expressed in hemopoietic cells.
Hit paper breakdown →
1987253
2 1997152
3 198639
4 199625
5
Chromosomal localization of the human G-CSF gene to 17q11 proximal to the breakpoint of the t(15;17) in acute promyelocytic leukemia.
198724
6 199821
7 199618
8 19969
9 19935
10
Physical mapping of the MCDR1 locus
19943
11 19993
12 20002

About M.J. Pettenati

M.J. Pettenati is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 554 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Acute Myeloid Leukemia Research (3 papers), Chromosomal and Genetic Variations (2 papers), Metabolism and Genetic Disorders (1 paper), Hereditary Neurological Disorders (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oral Surgery (90 citations), Urology (47 citations), Hematology (78 citations), Orthodontics (31 citations) and Periodontics (32 citations). M.J. Pettenati has collaborated with scholars based in United States. Frequent co-authors include Manuel O. Dı́az, Michelle M. Le Beau, Janet D. Rowley, Nancy Quintrell, Harold Varmus, R V Lebo, J. Michael Bishop, P. Nagesh Rao, James F. Reynolds and Patrick E. Lantz. Their work appears in journals such as Genomics, Cytogenetic and Genome Research, Cold Spring Harbor Symposia on Quantitative Biology, British Journal of Haematology and Investigative Ophthalmology & Visual Science.

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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