Jan Bayer
Impact in
- Communication top 5%
- Social Media and Politics
- Media Studies and Communication
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 2
- RNA and protein synthesis mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 2
-
- Spam and Phishing Detection 6
- Co-authors
- Gilles Thomas (4 shared papers)Jack M. McLeod (1 shared paper)William P. Eveland (1 shared paper)Zhongshi Guo (1 shared paper)Annette Schmitz (4 shared papers)J. G. J. Bauman (3 shared papers)Nathalie Déchamps (2 shared papers)Charles Balabaud (2 shared papers)
- Journals
- Oncogene (2 papers)Human Genetics (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Experimental Hematology (1 paper)Blood (1 paper)
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Jan Bayer
25 papers receiving 906 citations
Peers
Comparison fields: 5 of 121
- Communication 198
- Aging 21
- Hematology 99
- Genetics 53
- Hepatology 37
Countries citing papers authored by Jan Bayer
This map shows the geographic impact of Jan Bayer'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 Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bayer more than expected).
Fields of papers citing papers by Jan Bayer
This network shows the impact of papers produced by Jan Bayer. 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 Bayer. The network helps show where Jan Bayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Bayer, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 252 | |
| 2 | 1999 | 131 | |
| 3 | 2009 | 108 | |
| 4 | 2003 | 68 | |
| 5 | 2003 | 53 | |
| 6 | 2006 | 52 | |
| 7 | 2001 | 46 | |
| 8 | 1990 | 45 | |
| 9 | 2007 | 38 | |
| 10 | Detection of Y chromosome by in situ hybridization in combination with membrane antigens by two-color immunofluorescence. | 1991 | 32 |
| 11 | 2006 | 31 | |
| 12 | 2006 | 28 | |
| 13 | 1990 | 22 | |
| 14 | Culture of hematopoietic stem cells purified from murine bone marrow. | 1991 | 20 |
| 15 | 1990 | 11 | |
| 16 | 2005 | 8 | |
| 17 | Culture of purified pluripotent haemopoietic stem cells. | 1990 | 7 |
| 18 | 1998 | 6 | |
| 19 | [Semi-automated quantitative method for detecting the loss of heterozygosity at the long arm of chromosome 4 in hepatocellular carcinoma]. | 1999 | 5 |
| 20 | 2023 | 4 |
About Jan Bayer
Jan Bayer is a scholar working on Molecular Biology, Information Systems, Genetics, Computer Networks and Communications and Genetics, having authored 29 papers that have together received 975 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Network Security and Intrusion Detection (3 papers), Virus-based gene therapy research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Single-cell and spatial transcriptomics (2 papers), RNA and protein synthesis mechanisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Communication (198 citations), Aging (21 citations), Hematology (99 citations), Genetics (53 citations) and Hepatology (37 citations). Jan Bayer has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Gilles Thomas, Jack M. McLeod, William P. Eveland, Zhongshi Guo, Annette Schmitz, J. G. J. Bauman, Nathalie Déchamps, Charles Balabaud, Patricia Legoix and Jessica Zucman‐Rossi. Their work appears in journals such as Oncogene, Human Genetics, International Journal of Radiation Oncology*Biology*Physics, Experimental Hematology and Blood.
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.