F. Arwert

3.2k citations
47 papers · 2.2k indexed · h-index 25

F. Arwert

46 papers receiving 2.1k citations

Peers

F. Arwert
Comparison fields: 5 of 106
  • Cancer Research 425
  • Molecular Biology 1.5k
  • Otorhinolaryngology 83
  • Genetics 519
  • Neurology 251
Replace Jean‐Michel Flaman with:
Jean‐Michel Flaman France
Sergey V. Ivanov United States
Takanori Tsuji United States
Jean-Michel Lélias United States
Francisco Barros Spain
Patrick Spielmann Switzerland
Motoko Unoki Japan
Alexander Faerman Israel
Hiroki Utsunomiya Japan
Giuseppe Raschellà Italy
F. Arwert relative to Jean‐Michel Flaman France Jean‐Michel Flaman's profile →
Citations per field
00.5×1.7×
Jean‐Michel Flaman · 1×
Citations per year

Countries citing papers authored by F. Arwert

Since Specialization
Citations

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

Fields of papers citing papers by F. Arwert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200029
2 1999105
3 199839
4
Somatic mosaicism in Fanconi anemia: molecular basis and clinical significance.
1997149
5 19968
6 199688
7 19967
8 199621
9 19953
10 199329
11 1992138
12 199226
13 19914
14 199117
15
Evolution of the human alpha-amylase multigene family through unequal, homologous, and inter- and intrachromosomal crossovers
19908
16 199026
17 198924
18 19882
19 198736
20 198566

About F. Arwert

F. Arwert is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (19 papers), Carcinogens and Genotoxicity Assessment (6 papers), Microtubule and mitosis dynamics (5 papers), DNA and Nucleic Acid Chemistry (5 papers), CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (5 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Cancer Research (425 citations), Molecular Biology (1.5k citations) and Otorhinolaryngology (83 citations). F. Arwert has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Hans Joenje, Aldur W. Eriksson, Gilles Thomas, Leo P. de Waal, G. G. de Lange, J.P.W. van der Veen, Th. M. Starink, Gerard Venema, Gerard Pals and J.W.I.M. Simons. Their work appears in journals such as Human Genetics, Advances in experimental medicine and biology, Neurology, Scandinavian Journal of Clinical and Laboratory Investigation and Clinical Genetics.

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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