Jan Walters Kruger
- Cancer Research top 2%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- Endocrinology top 10%
- Aquatic Science top 10%
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- Financial Reporting and Valuation Research 7
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- Service-Oriented Architecture and Web Services 7
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- Corporate Finance and Governance 3
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- Financial Markets and Investment Strategies 3
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- Advanced Software Engineering Methodologies 3
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- Context-Aware Activity Recognition Systems 3
- Co-authors
- Marc RehmsmeierAlexander SczyrbaRobert GiegerichHeiko KrummHenning MerschLiren HuangMohamed AbouelhodaStefan Kurtz
- Partner nations
- GermanySouth AfricaEthiopia
In The Last Decade
Jan Walters Kruger
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 968
- Molecular Biology 1.1k
- Immunology 187
- Endocrinology 39
- Aquatic Science 52
Countries citing papers authored by Jan Walters Kruger
This map shows the geographic impact of Jan Walters Kruger'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 Jan Walters Kruger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Walters Kruger more than expected).
Fields of papers citing papers by Jan Walters Kruger
This network shows the impact of papers produced by Jan Walters Kruger. 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 Jan Walters Kruger. The network helps show where Jan Walters Kruger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Walters Kruger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 2 | |
| 3 | 2016 | 17 | |
| 4 | The Relationship between South African CEO Compensation and Company Performance in the Banking Industry | 2015 | 7 |
| 5 | 2015 | 2 | |
| 6 | 2015 | 1 | |
| 7 | Hedging and Company Value – A Comparison between South Africa and United States of America | 2014 | 6 |
| 8 | SHARE REPURCHASES ANNOUNCEMENT EFFECT ON EARNINGS: EVIDENCE FROM SOUTH AFRICA | 2013 | 1 |
| 9 | 2012 | 19 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2010 | 4 | |
| 14 | 2010 | 12 | |
| 15 | 2009 | 16 | |
| 16 | 2007 | 4 | |
| 17 | RNAhybrid: microRNA target prediction easy, fast and flexiblebreakdown → | 2006 | 1501 |
| 18 | 2006 | 20 | |
| 19 | 2004 | 10 | |
| 20 | 2003 | 4 |
About Jan Walters Kruger
Jan Walters Kruger is a scholar working on Accounting, Finance and Strategy and Management, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Financial Reporting and Valuation Research (7 papers), Service-Oriented Architecture and Web Services (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Corporate Finance and Governance (3 papers), Financial Markets and Investment Strategies (3 papers), Advanced Software Engineering Methodologies (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Cancer Research (968 citations), Molecular Biology (1.1k citations) and Immunology (187 citations). Jan Walters Kruger has collaborated with scholars based in Germany, South Africa and Ethiopia. Frequent co-authors include Marc Rehmsmeier, Alexander Sczyrba, Robert Giegerich, Heiko Krumm, Henning Mersch, Liren Huang, Mohamed Abouelhoda, Stefan Kurtz, Dennis P. Wall and Peter J. Tonellato. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC 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.