Frank Becker

81 papers receiving 2.4k citations

Peers

Frank Becker
Comparison fields: 5 of 107
  • Agronomy and Crop Science 442
  • Pulmonary and Respiratory Medicine 877
  • Cancer Research 323
  • Reproductive Medicine 159
  • Genetics 462
Replace Monique Doré with:
Monique Doré Canada
Ho Young Chung South Korea
Michael McGrath United States
A Yajima Japan
Mary M. DeSouza United States
Rosa A. García‐Fernández Spain
Donghui Zhang China
C. C. Capen United States
K. Hirayama Japan
Kiyotaka Watanabe Japan
Frank Becker relative to Monique Doré Canada Monique Doré's profile →
Citations per field
00.5×2.6×
Monique Doré · 1×
Citations per year

Countries citing papers authored by Frank Becker

Since Specialization
Citations

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

Fields of papers citing papers by Frank Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009280
2 2011199
3 2011181
4 2012174
5 2006132
6 1986102
7 201292
8 201188
9 201286
10 201262
11 200261
12 201152
13 201351
14 200743
15 199142
16 197536
17 200032
18 196332
19 201931
20 200530

About Frank Becker

Frank Becker is a scholar working on Agronomy and Crop Science, Genetics, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (29 papers), Reproductive Biology and Fertility (16 papers), Renal cell carcinoma treatment (14 papers), Genetic and phenotypic traits in livestock (11 papers), Renal and related cancers (7 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (5 papers) and Medical Imaging and Pathology Studies (5 papers). The work is most often cited by research in Agronomy and Crop Science (442 citations), Pulmonary and Respiratory Medicine (877 citations), Cancer Research (323 citations), Reproductive Medicine (159 citations) and Genetics (462 citations). Frank Becker has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Stöckle, W. Kanitz, Stefan Siemer, Inderbir S. Gill, Francesco Montorsi, Paul Russo, Armin Tuchscherer, Carsten‐Henning Ohlmann, Giorgio Guazzoni and Oliver W. Hakenberg. Their work appears in journals such as European Urology, Journal of Dairy Science, Reproduction in Domestic Animals, Reproduction Fertility and Development and Animal Reproduction Science.

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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