Frank Staedtler

7.7k total citations
49 papers, 1.6k citations indexed

About

Frank Staedtler is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Frank Staedtler has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Frank Staedtler's work include Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (8 papers) and DNA Repair Mechanisms (5 papers). Frank Staedtler is often cited by papers focused on Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (8 papers) and DNA Repair Mechanisms (5 papers). Frank Staedtler collaborates with scholars based in Switzerland, United States and Germany. Frank Staedtler's co-authors include Nicole Hartmann, Purvesh Khatri, Atul J. Butte, Minnie Sarwal, Robert Tibshirani, Nicholas Perry, Shai S. Shen-Orr, Mark M. Davis, Trevor Hastie and Dale L. Bodian and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Nature Methods.

In The Last Decade

Frank Staedtler

48 papers receiving 1.6k citations

Peers

Frank Staedtler
Comparison fields: 5 of 132
  • Molecular Biology 781
  • Cancer Research 288
  • Nephrology 198
  • Immunology 187
  • Oncology 172
Replace Raymund Zinck with:
Raymund Zinck Germany
Corina Lorz Spain
Eugene O. Apostolov United States
María G. Barderas Spain
Hideki Kimura Japan
Krzysztof Książek Poland
Yusuke Higuchi Japan
Lea‐Yea Chuang Taiwan
Sachiko Watanabe Japan
Karol L. Thompson United States
Raymund Zinck Germany View profile →
Citations per field, relative to Frank Staedtler
Frank Staedtler · 1×
Citations per year, relative to Frank Staedtler
Frank Staedtler · 1×

Countries citing papers authored by Frank Staedtler

Since Specialization
Citations

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

Fields of papers citing papers by Frank Staedtler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Staedtler

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Staedtler. A scholar is included among the top collaborators of Frank Staedtler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Staedtler. Frank Staedtler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 40
4 27
5 60
6 97
7 26
8 85
9 16
10 5
11 23
12 8
13 1
14 50
15 1
16 70
17 2
18 6
19 12
20 20

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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