John Maciejowski

4.3k citations
37 papers · 2.5k indexed · 2 hit papers · h-index 21

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 4
    • Cancer Genomics and Diagnostics 6

John Maciejowski

36 papers receiving 2.5k citations

Hit Papers

Telomeres in cancer: tumour suppression and genome instability 2017 · 498 citations
4982015202620182022100200300400

Peers

John Maciejowski
Comparison fields: 5 of 100
  • Aging 224
  • Cell Biology 684
  • Molecular Biology 1.9k
  • Cancer Research 363
  • Immunology 328
Replace Arno F. Alpi with:
Arno F. Alpi United Kingdom
Andrea C. Carrano United States
Michal Zimmermann United States
Zuzana Hořejšı́ United Kingdom
Stephanie Panier Canada
Jurgen A. Marteijn Netherlands
John P. Murnane United States
Ashby J. Morrison United States
H E Varmus United States
Elsa Callén United States
John Maciejowski relative to Arno F. Alpi United Kingdom Arno F. Alpi's profile →
Citations per field
00.5×2.9×
Arno F. Alpi · 1×
Citations per year

Countries citing papers authored by John Maciejowski

Since Specialization
Citations

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

Fields of papers citing papers by John Maciejowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 202411
4 20243
5 20242
6 20232
7 2022123
8 202222
9 20220
10 20216
11 202140
12 2020106
13 201810
14 201820
15 201740
16 20169
17
Chromothripsis and Kataegis Induced by Telomere Crisis
Hit paper breakdown →
2015456
18 201219
19 200971
20 2009145

About John Maciejowski

John Maciejowski is a scholar working on Aging, Cancer Research, Cell Biology, Virology and Molecular Biology, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (7 papers), DNA Repair Mechanisms (6 papers), Cancer Genomics and Diagnostics (6 papers), RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (224 citations), Cell Biology (684 citations), Molecular Biology (1.9k citations), Cancer Research (363 citations) and Immunology (328 citations). John Maciejowski has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Titia de Lange, Peter J. Campbell, Nazario Bosco, Yilong Li, Prasad V. Jallepalli, Lisa Mohr, Kevan Chu, Emily M. Hatch, Eléonore Toufektchan and Chao Zhang. Their work appears in journals such as Molecular Cell, Cell, Nature Genetics, Current Biology and Nature Reviews Molecular Cell Biology.

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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