Puck Knipscheer

4.3k citations
35 papers · 3.3k indexed · h-index 23

Impact in

    • DNA Repair Mechanisms
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Genomics and Chromatin Dynamics
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

Puck Knipscheer

33 papers receiving 3.3k citations

Peers

Puck Knipscheer
Comparison fields: 5 of 99
  • Molecular Biology 2.9k
  • Oncology 842
  • Cell Biology 458
  • Cancer Research 418
  • Parasitology 84
Replace Tsuyoshi Ikura with:
Tsuyoshi Ikura Japan
Mikhail A. Nikiforov United States
Nickolai A. Barlev Russia
Lumír Krejčí Czechia
Martin A. Cohn United States
Takemi Enomoto Japan
Ji‐Hoon Lee United States
Filippo Rosselli France
Diep Nguyen United States
Aaron Aslanian United States
Puck Knipscheer relative to Tsuyoshi Ikura Japan Tsuyoshi Ikura's profile →
Citations per field
00.5×
Tsuyoshi Ikura · 1×
Citations per year

Countries citing papers authored by Puck Knipscheer

Since Specialization
Citations

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

Fields of papers citing papers by Puck Knipscheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20232
4 202321
5 20224
6 202227
7 202142
8 201920
9 2017178
10 201229
11 2009395
12 20095
13 2008412
14 20089
15 20087
16 2007167
17 2007137
18 2006168
19 2005169
20 2003162

About Puck Knipscheer

Puck Knipscheer is a scholar working on Structural Biology, Aging, Molecular Biology, Cancer Research and Oncology, having authored 35 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (18 papers), Ubiquitin and proteasome pathways (9 papers), DNA and Nucleic Acid Chemistry (8 papers), CRISPR and Genetic Engineering (5 papers), Peptidase Inhibition and Analysis (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Oncology (842 citations), Cell Biology (458 citations), Cancer Research (418 citations) and Parasitology (84 citations). Puck Knipscheer has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Johannes C. Walter, Markus Räschle, Titia K. Sixma, Orlando D. Schärer, Milica Enoiu, Willem J. van Dijk, Jesper V. Olsen, Andrea Pichler, Matthias Mann and Rick A.C.M. Boonen. Their work appears in journals such as Nature Communications, Nature, The EMBO Journal, Science and Nucleic Acids Research.

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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