Dana Branzei

7.5k citations
84 papers · 5.3k indexed · 2 hit papers · h-index 38
    • DNA Repair Mechanisms 74
    • CRISPR and Genetic Engineering 25
    • Genomics and Chromatin Dynamics 21
    • Ubiquitin and proteasome pathways 14
    • Mitochondrial Function and Pathology 9
    • DNA and Nucleic Acid Chemistry 8
    • Carcinogens and Genotoxicity Assessment 23
    • Microtubule and mitosis dynamics 15
  • Oncology top 2%
  • Aging top 5%

Dana Branzei

82 papers receiving 5.3k citations

Hit Papers

Maintaining genome stability at the replication fork6062008202620142020250500750

Peers

Dana Branzei
Comparison fields: 5 of 116
  • Molecular Biology 5.0k
  • Cancer Research 965
  • Cell Biology 1.0k
  • Oncology 986
  • Aging 43
Replace Philippe Pasero with:
Philippe Pasero France
Lumír Krejčí Czechia
Petr Ćejka Switzerland
Zuzana Štorchová Germany
Noel F. Lowndes Ireland
Lajos Haracska Hungary
Michael N. Boddy United States
Paul R. Andreassen United States
Ji‐Hoon Lee United States
Boris Pfander Germany
Dana Branzei relative to Philippe Pasero France Philippe Pasero's profile →
Citations per field
00.5×1.5×
Philippe Pasero · 1×
Citations per year

Countries citing papers authored by Dana Branzei

Since Specialization
Citations

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

Fields of papers citing papers by Dana Branzei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 202310
4 202121
5 202111
6 202011
7 202055
8 202011
9 201837
10 201816
11 2016111
12 201529
13 201475
14 201276
15 201071
16 200957
17 200990
18 200695
19 200442
20 200156

About Dana Branzei

Dana Branzei is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 84 papers that have together received 5.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (74 papers), CRISPR and Genetic Engineering (25 papers), Carcinogens and Genotoxicity Assessment (23 papers), Genomics and Chromatin Dynamics (21 papers), Microtubule and mitosis dynamics (15 papers), Ubiquitin and proteasome pathways (14 papers), Mitochondrial Function and Pathology (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Cancer Research (965 citations) and Cell Biology (1.0k citations). Dana Branzei has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Marco Foiani, Barnabás Szakál, Fabio Vanoli, Xiaolan Zhao, Marco Fumasoni, Masayuki Seki, Takemi Enomoto, Ivan Psakhye, Michele Giannattasio and Julie Sollier. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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