Jochen Weile

4.1k citations
31 papers · 706 · h-index 12

Impact in

  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies

Papers in

    • Genomics and Rare Diseases 11
    • Genetic Associations and Epidemiology 3
    • Bioinformatics and Genomic Networks 6
    • Genomics and Phylogenetic Studies 4
    • CRISPR and Genetic Engineering 3
    • Biomedical Text Mining and Ontologies 3
    • Genomics and Chromatin Dynamics 2

Jochen Weile

29 papers receiving 698 citations

Peers

Jochen Weile
Comparison fields: 5 of 75
  • Genetics 284
  • Molecular Biology 454
  • Cancer Research 68
  • Computational Theory and Mathematics 48
  • Clinical Biochemistry 11
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Anwesha Bohler Netherlands
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Citations per year

Countries citing papers authored by Jochen Weile

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Weile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019132
2 201890
3 202185
4 201352
5 202040
6 201138
7 202038
8 202331
9 201024
10 201023
11 202116
12 202414
13 202312
14 202112
15 200711
16 201711
17 201910
18 201210
19 20208
20 20197

About Jochen Weile

Jochen Weile is a scholar working on Genetics, Molecular Biology, Cancer Research, Information Systems and Management and Economics and Econometrics, having authored 31 papers that have together received 706 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (11 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (4 papers), CRISPR and Genetic Engineering (3 papers), Biomedical Text Mining and Ontologies (3 papers), Genetic Associations and Epidemiology (3 papers), Cancer Genomics and Diagnostics (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (284 citations), Molecular Biology (454 citations), Cancer Research (68 citations), Computational Theory and Mathematics (48 citations) and Clinical Biochemistry (11 citations). Jochen Weile has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Frederick P. Roth, Song Sun, Roujia Li, Douglas M. Fowler, Alan F. Rubin, Jay Shendure, Lea M. Starita, Anthony T. Papenfuss, Hanqing Liu and Anil Wipat. Their work appears in journals such as Bioinformatics, The American Journal of Human Genetics, Genome biology, Human Mutation and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.

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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