Vera Pütter

692 citations
15 papers · 345 · h-index 11

Impact in

    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • DNA Repair Mechanisms 5
    • RNA and protein synthesis mechanisms 3
    • Mitochondrial Function and Pathology 3
    • Genomics and Chromatin Dynamics 2
    • DNA and Nucleic Acid Chemistry 2
    • RNA Research and Splicing 2
    • Microtubule and mitosis dynamics 4

Vera Pütter

14 papers receiving 338 citations

Peers

Vera Pütter
Comparison fields: 5 of 54
  • Cell Biology 102
  • Molecular Biology 300
  • Virology 17
  • Cancer Research 40
  • Oncology 60
Replace Ida Deichaite with:
Ida Deichaite United States
Lu Huang China
Catherine Berset Switzerland
Michael V. Murray United States
Nebojša Mirković United States
Ana P. G. Silva Australia
Simone Schleeger Switzerland
Tatjana Heidebrecht Netherlands
Urszula Nowicka Poland
Benoı̂t Grondin Canada
Vera Pütter relative to Ida Deichaite United States Ida Deichaite's profile →
Citations per field
00.5×3.8×
Ida Deichaite · 1×
Citations per year

Countries citing papers authored by Vera Pütter

Since Specialization
Citations

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

Fields of papers citing papers by Vera Pütter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201853
2 200352
3 200645
4 200444
5 200833
6 202032
7 200219
8 199917
9 202413
10 201113
11 199911
12 20229
13 20223
14 20081
15 20240

About Vera Pütter

Vera Pütter is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Materials Chemistry, having authored 15 papers that have together received 345 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Microtubule and mitosis dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers), Genomics and Chromatin Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Enzyme Structure and Function (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (102 citations), Molecular Biology (300 citations), Virology (17 citations), Cancer Research (40 citations) and Oncology (60 citations). Vera Pütter has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Friedrich Grummt, Aladar A. Szalay, Markus Schade, Jan D. Kahmann, Ky Lowenhaupt, Peter Schmieder, Hartmut Oschkinat, Alexander Rich, Yang‐Gyun Kim and Iring Heisler. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Clinical Cancer Research, Molecular Oncology, EMBO Reports and Chromosoma.

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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