Tim Becker

16.8k citations
123 papers · 3.6k · h-index 32

Impact in

Papers in

    • Genetic Associations and Epidemiology 34
    • Genetics and Neurodevelopmental Disorders 13
    • Genetic Mapping and Diversity in Plants and Animals 11
    • Gene expression and cancer classification 8
    • Bioinformatics and Genomic Networks 7

Tim Becker

121 papers receiving 3.6k citations

Peers

Tim Becker
Comparison fields: 5 of 131
  • Biological Psychiatry 175
  • Behavioral Neuroscience 145
  • Urology 198
  • Genetics 943
  • Cellular and Molecular Neuroscience 493
Replace Yan Shen with:
Yan Shen China
Michael Knapp Germany
Stuart MacGregor Australia
Eric L. Gustafson United States
Pamela McCombe Australia
Yoichi Gondo Japan
Guoyin Feng China
Michelle E. Ehrlich United States
Ying Zhou China
Wenying Wang China
Tim Becker relative to Yan Shen China Yan Shen's profile →
Citations per field
00.5×2.9×
Yan Shen · 1×
Citations per year

Countries citing papers authored by Tim Becker

Since Specialization
Citations

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

Fields of papers citing papers by Tim Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005247
2 2004232
3 2007228
4 2004169
5 2003158
6 2004133
7 2005124
8 2009102
9 2012100
10 201094
11 200975
12 200967
13 201166
14 200563
15 200656
16 201056
17 200956
18 200855
19 200555
20 200854

About Tim Becker

Tim Becker is a scholar working on Genetics, Molecular Biology, Psychiatry and Mental health, Pulmonary and Respiratory Medicine and Immunology, having authored 123 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (34 papers), Genetics and Neurodevelopmental Disorders (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Cystic Fibrosis Research Advances (11 papers), Hair Growth and Disorders (10 papers), Gene expression and cancer classification (8 papers), Bipolar Disorder and Treatment (7 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Biological Psychiatry (175 citations), Behavioral Neuroscience (145 citations), Urology (198 citations), Genetics (943 citations) and Cellular and Molecular Neuroscience (493 citations). Tim Becker has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Michael Knapp, Christine Herold, Markus M. Nöthen, Sven Cichon, Marcella Rietschel, Peter Propping, Stephanie Ohlraun, Thomas F. Wienker, Thomas G. Schulze and Johannes Schumacher. Their work appears in journals such as European Journal of Human Genetics, Human Heredity, Psychiatric Genetics, Bioinformatics and American Journal of Medical Genetics Part B Neuropsychiatric 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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