M.J. Pettenati

774 citations
12 papers · 554 indexed · 1 hit paper · h-index 8
Topics
Genomic variations and chromosomal abnormalities (4 papers)Acute Myeloid Leukemia Research (3 papers)Chromosomal and Genetic Variations (2 papers)
Partner nations
United States

In The Last Decade

M.J. Pettenati

12 papers receiving 481 citations

Hit Papers

Identification of a human gene (HCK) that encodes a prote...1987202620002013198750100150200250

Peers

M.J. Pettenati
Comparison fields: 5 of 80
  • Molecular Biology 230
  • Immunology 96
  • Oral Surgery 90
  • Genetics 80
  • Hematology 78
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
00.5×7.1×
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-authorship network of co-authors of M.J. Pettenati

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Pettenati. A scholar is included among the top collaborators of M.J. Pettenati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.J. Pettenati. M.J. Pettenati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 3
3 21
4 152
5 18
6 25
7 9
8
Physical mapping of the MCDR1 locus
3
9 5
10
Chromosomal localization of the human G-CSF gene to 17q11 proximal to the breakpoint of the t(15;17) in acute promyelocytic leukemia.
24
11
Identification of a human gene (HCK) that encodes a protein-tyrosine kinase and is expressed in hemopoietic cells.breakdown →
253
12 39

About M.J. Pettenati

M.J. Pettenati is a scholar working on Hematology, Clinical Biochemistry and Genetics, 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) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Oral Surgery (90 citations), Urology (47 citations) and Hematology (78 citations). M.J. Pettenati has collaborated with scholars based in United States. Frequent co-authors include Janet D. Rowley, Manuel O. Dı́az, Michelle M. Le Beau, J. Michael Bishop, Nancy Quintrell, R V Lebo, Harold Varmus, P. Nagesh Rao, Andrew J. Sweatt and Constance A. Stanton. Their work appears in journals such as Molecular and Cellular Biology, Investigative Ophthalmology & Visual Science and British Journal of Haematology.

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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