Jörg Klug
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
- Reproductive Medicine top 2%
- Sperm and Testicular Function
Papers in
- Immunology 24
- Reproductive System and Pregnancy 12
- Macrophage Migration Inhibitory Factor 8
- Immune Cell Function and Interaction 5
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- RNA Research and Splicing 5
- Co-authors
- Andreas Meinhardt (19 shared papers)Monika Fijak (10 shared papers)Sudhanshu Bhushan (7 shared papers)Miguel Beato (9 shared papers)Holger Hackstein (2 shared papers)Eva Schneider (3 shared papers)Suada Fröhlich (8 shared papers)Gerhard Schüler (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Molecular and Cellular Biology (3 papers)Theriogenology (3 papers)The Journal of Pathology (2 papers)Histochemistry and Cell Biology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jörg Klug
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Equine 84
- Reproductive Medicine 342
- Immunology 569
- Agronomy and Crop Science 173
- Genetics 266
Countries citing papers authored by Jörg Klug
This map shows the geographic impact of Jörg Klug'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 Jörg Klug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Klug more than expected).
Fields of papers citing papers by Jörg Klug
This network shows the impact of papers produced by Jörg Klug. 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 Jörg Klug. The network helps show where Jörg Klug may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Klug, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 181 | |
| 2 | 2015 | 143 | |
| 3 | 2000 | 135 | |
| 4 | 1991 | 99 | |
| 5 | 2008 | 94 | |
| 6 | 2005 | 69 | |
| 7 | 2011 | 68 | |
| 8 | 1992 | 65 | |
| 9 | 2011 | 65 | |
| 10 | 2009 | 54 | |
| 11 | 2000 | 53 | |
| 12 | 2014 | 48 | |
| 13 | 2008 | 43 | |
| 14 | 2018 | 41 | |
| 15 | 2006 | 40 | |
| 16 | 2008 | 34 | |
| 17 | 2016 | 34 | |
| 18 | 1991 | 32 | |
| 19 | 2013 | 30 | |
| 20 | 2019 | 30 |
About Jörg Klug
Jörg Klug is a scholar working on Immunology, Molecular Biology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Macrophage Migration Inhibitory Factor (8 papers), Reproductive Physiology in Livestock (8 papers), Reproductive Biology and Fertility (6 papers), RNA Research and Splicing (5 papers), Veterinary Equine Medical Research (5 papers), Immune Cell Function and Interaction (5 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Equine (84 citations), Reproductive Medicine (342 citations), Immunology (569 citations), Agronomy and Crop Science (173 citations) and Genetics (266 citations). Jörg Klug has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andreas Meinhardt, Monika Fijak, Sudhanshu Bhushan, Miguel Beato, Holger Hackstein, Eva Schneider, Suada Fröhlich, Gerhard Schüler, Frank Gannon and Marie Keaveney. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, Theriogenology, The Journal of Pathology and Histochemistry and Cell Biology.
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.