Janusz H. Kabarowski

3.0k citations
38 papers · 2.0k indexed · h-index 24
Topics
Sphingolipid Metabolism and Signaling (5 papers)Immune Cell Function and Interaction (5 papers)Chronic Myeloid Leukemia Treatments (5 papers)

In The Last Decade

Janusz H. Kabarowski

38 papers receiving 2.0k citations

Peers

Janusz H. Kabarowski
Comparison fields: 5 of 109
  • Molecular Biology 892
  • Immunology 533
  • Pathology and Forensic Medicine 328
  • Hematology 318
  • Oncology 315
Replace Mitsuhiro Matsuda with:
Mitsuhiro Matsuda Japan
J P Le Couedic France
Victor J. Wroblewski United States
Eriko Sato Japan
David Gilot France
Masataka Kohno Japan
Philippe Mavier France
Claude Gazin France
Lorenza Tacchini Italy
Jing Fang China
Janusz H. Kabarowski relative to Mitsuhiro Matsuda Japan Mitsuhiro Matsuda's profile →
Citations per field
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Mitsuhiro Matsuda · 1×
Citations per year

Countries citing papers authored by Janusz H. Kabarowski

Since Specialization
Citations

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

Fields of papers citing papers by Janusz H. Kabarowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janusz H. Kabarowski. 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 Janusz H. Kabarowski. The network helps show where Janusz H. Kabarowski may publish in the future.

Co-authorship network of co-authors of Janusz H. Kabarowski

This figure shows the co-authorship network connecting the top 25 collaborators of Janusz H. Kabarowski. A scholar is included among the top collaborators of Janusz H. Kabarowski 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 Janusz H. Kabarowski. Janusz H. Kabarowski 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 6
2 53
3 5
4 16
5 20
6 2
7 2
8 47
9
Iron Ion (56Fe) Radiation Increases the Size of Pre-Existing Atherosclerotic Lesions in ApoE-/- Mice
1
10 43
11 35
12 116
13 10
14 34
15 98
16 37
17 170
18 121
19 26
20 12

About Janusz H. Kabarowski

Janusz H. Kabarowski is a scholar working on Immunology, Hematology and Genetics, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Immune Cell Function and Interaction (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (318 citations), Immunology (533 citations) and Genetics (234 citations). Janusz H. Kabarowski has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Leanne M. Wiedemann, Owen N. Witte, Keith McCarthy, J P Sloane, Estella Matutes, Brian W. Parks, Lu Q. Le, Stephen Barnes, Yan Xu and Patrick B. Allen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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