Kenneth J. Soprano

5.0k citations
116 papers · 4.3k indexed · h-index 36
Topics
Retinoids in leukemia and cellular processes (62 papers)Estrogen and related hormone effects (32 papers)interferon and immune responses (14 papers)
Partner nations
United StatesJapanPoland

In The Last Decade

Kenneth J. Soprano

116 papers receiving 4.1k citations

Peers

Kenneth J. Soprano
Comparison fields: 5 of 111
  • Molecular Biology 3.3k
  • Genetics 1.0k
  • Oncology 816
  • Immunology 597
  • Biochemistry 441
Replace George P. Studzinski with:
George P. Studzinski United States
John M. Kokontis United States
Meng‐Er Huang France
Vittorio Colantuoni Italy
Shizue Nakagawa Japan
Reid P. Bissonnette United States
Heidi Kiil Blomhoff Norway
José Luis France
Jürgen Eberle Germany
William W. Lamph United States
Kenneth J. Soprano relative to George P. Studzinski United States George P. Studzinski's profile →
Citations per field
00.5×1.5×2.3×
George P. Studzinski · 1×
Citations per year

Countries citing papers authored by Kenneth J. Soprano

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Soprano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth J. Soprano

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Soprano. A scholar is included among the top collaborators of Kenneth J. Soprano 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 Kenneth J. Soprano. Kenneth J. Soprano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 27
4 27
5 13
6 10
7 18
8 6
9 35
10 35
11 30
12 122
13
Overexpression of Mxi1 inhibits the induction of the human ornithine decarboxylase gene by the Myc/Max protein complex.
35
14 20
15 27
16 7
17 12
18 13
19 24
20 36

About Kenneth J. Soprano

Kenneth J. Soprano is a scholar working on Genetics, Molecular Biology and Biochemistry, having authored 116 papers that have together received 4.3k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (62 papers), Estrogen and related hormone effects (32 papers) and interferon and immune responses (14 papers). The work is most often cited by research in Biochemistry (441 citations), Molecular Biology (3.3k citations) and Genetics (1.0k citations). Kenneth J. Soprano has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Dianne Robert Soprano, William F. Holmes, Renato Baserga, DeWitt S. Goodman, Pu Qin, Shujian Wu, A Toscani, Thomas A. Owen, Marion M. Chan and Dunne Fong. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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