Ina Becker

45 total papers · 564 total citations
22 papers, 281 citations indexed

About

Ina Becker is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Ina Becker has authored 22 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Ina Becker's work include Effects of Radiation Exposure (4 papers), Spaceflight effects on biology (4 papers) and T-cell and B-cell Immunology (3 papers). Ina Becker is often cited by papers focused on Effects of Radiation Exposure (4 papers), Spaceflight effects on biology (4 papers) and T-cell and B-cell Immunology (3 papers). Ina Becker collaborates with scholars based in Germany, China and France. Ina Becker's co-authors include Benjamin Frey, Anna-Jasmina Donaubauer, Rainer Fietkau, Udo S. Gaipl, Lisa Deloch, Michael Lebert, Peter Richter, Sebastian M. Strauch, Paul F. Rühle and Maria Ntefidou and has published in prestigious journals such as International Journal of Molecular Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and Annals of the Rheumatic Diseases.

In The Last Decade

Ina Becker

21 papers receiving 274 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ina Becker 71 64 57 56 42 22 281
Kürşad Tosun 37 0.5× 36 0.6× 14 0.2× 108 1.9× 17 0.4× 25 315
Amanda Saravia-Butler 40 0.6× 95 1.5× 7 0.1× 154 2.8× 17 0.4× 22 293
Stefanie Schmidt 91 1.3× 14 0.2× 27 0.5× 86 1.5× 52 1.2× 13 251
Johannes Laimer 88 1.2× 23 0.4× 69 1.2× 49 0.9× 26 0.6× 28 320
D. Reske 40 0.6× 67 1.0× 24 0.4× 41 0.7× 49 1.2× 18 262
Hiroki Sasanuma 29 0.4× 70 1.1× 15 0.3× 178 3.2× 62 1.5× 16 320
Fernando Callera 37 0.5× 32 0.5× 48 0.8× 58 1.0× 18 0.4× 21 303
Letian Zhou 41 0.6× 20 0.3× 18 0.3× 77 1.4× 52 1.2× 18 296
Xinwei Geng 75 1.1× 9 0.1× 20 0.4× 103 1.8× 28 0.7× 23 300
Kai Yang 35 0.5× 18 0.3× 30 0.5× 62 1.1× 23 0.5× 23 294

Countries citing papers authored by Ina Becker

Since Specialization
Citations

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

Fields of papers citing papers by Ina Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Ina Becker. A scholar is included among the top collaborators of Ina Becker 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 Ina Becker. Ina Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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