Stan Krajewski

7.1k citations
74 papers · 5.7k indexed · h-index 44
    • Cell death mechanisms and regulation 22
    • Mitochondrial Function and Pathology 9
    • Ubiquitin and proteasome pathways 6
    • RNA Interference and Gene Delivery 4
    • Protease and Inhibitor Mechanisms 5
  • Immunology top 5%
  • Oncology top 5%
    • Cancer-related Molecular Pathways 7
    • Autophagy in Disease and Therapy 5
    • Pancreatic function and diabetes 5

Stan Krajewski

74 papers receiving 5.7k citations

Peers

Stan Krajewski
Comparison fields: 5 of 124
  • Molecular Biology 3.7k
  • Cell Biology 816
  • Cancer Research 635
  • Immunology 683
  • Oncology 857
Replace Shomit Sengupta with:
Shomit Sengupta United States
Kathleen Kelly United States
Vincent Duronio Canada
Jean S. Campbell United States
Marie A. Bogoyevitch Australia
Christina C. Leslie United States
Minna Woo Canada
E. Melloni Italy
Karina Reiß Germany
Leon O. Murphy United States
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Citations per field
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Citations per year

Countries citing papers authored by Stan Krajewski

Since Specialization
Citations

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

Fields of papers citing papers by Stan Krajewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan Krajewski. 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 Stan Krajewski. The network helps show where Stan Krajewski may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20154
3 201124
4 201079
5 2010192
6 200854
7 200854
8 200852
9 200783
10 200741
11 200628
12 200649
13 200521
14 2003145
15 2003466
16 2003108
17 200279
18 200238
19 2002223
20 199736

About Stan Krajewski

Stan Krajewski is a scholar working on Cancer Research, Molecular Biology and Structural Biology, having authored 74 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (22 papers), Mitochondrial Function and Pathology (9 papers), Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (6 papers), Protease and Inhibitor Mechanisms (5 papers), Autophagy in Disease and Therapy (5 papers), Pancreatic function and diabetes (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Cell Biology (816 citations) and Cancer Research (635 citations). Stan Krajewski has collaborated with scholars based in United States, Germany and China. Frequent co-authors include John C. Reed, Maryla Krajewska, Roberta A. Gottlieb, Ulupi S. Jhala, Marc Montminy, Rohit Kulkarni, Erkki Ruoslahti, Lianglin Zhang, Valentina Fogal and Scott H. Kaufmann. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cancer Research, Cancer Research, Blood and The FASEB 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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