Jan Bayer

1.2k total citations
26 papers, 933 citations indexed

About

Jan Bayer is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Jan Bayer has authored 26 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Genetics. Recurrent topics in Jan Bayer's work include Spam and Phishing Detection (3 papers), Virus-based gene therapy research (3 papers) and Mesenchymal stem cell research (2 papers). Jan Bayer is often cited by papers focused on Spam and Phishing Detection (3 papers), Virus-based gene therapy research (3 papers) and Mesenchymal stem cell research (2 papers). Jan Bayer collaborates with scholars based in France, Netherlands and United States. Jan Bayer's co-authors include Gilles Thomas, William P. Eveland, Zhongshi Guo, Jack M. McLeod, Annette Schmitz, J. G. J. Bauman, Nathalie Déchamps, Patricia Legoix, Charles Balabaud and Jessica Zucman‐Rossi and has published in prestigious journals such as Blood, Oncogene and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jan Bayer

24 papers receiving 871 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Bayer France 14 335 189 164 123 105 26 933
Richard J. Alexander United States 17 211 0.6× 28 0.1× 47 0.3× 98 0.8× 67 0.6× 49 886
Sumin Zhao United States 20 638 1.9× 71 0.4× 115 0.7× 299 2.4× 16 0.2× 41 1.3k
Suman Lee South Korea 29 1.4k 4.2× 196 1.0× 173 1.1× 491 4.0× 68 0.6× 83 2.5k
Kathleen Kuehn New Zealand 10 682 2.0× 58 0.3× 148 0.9× 198 1.6× 42 0.4× 19 1.3k
Jennifer Harvey United States 13 160 0.5× 24 0.1× 100 0.6× 234 1.9× 145 1.4× 19 1.3k
Saumya Pant United States 11 752 2.2× 80 0.4× 80 0.5× 56 0.5× 17 0.2× 22 1.3k
Steve J. Collins United States 9 791 2.4× 52 0.3× 33 0.2× 85 0.7× 54 0.5× 18 1.1k
Gunjan Bhardwaj India 8 435 1.3× 22 0.1× 71 0.4× 144 1.2× 186 1.8× 24 859
Heather Marshall United States 11 204 0.6× 31 0.2× 141 0.9× 106 0.9× 437 4.2× 20 1.1k
James Dennis United Kingdom 13 508 1.5× 107 0.6× 66 0.4× 102 0.8× 9 0.1× 26 874

Countries citing papers authored by Jan Bayer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Bayer. A scholar is included among the top collaborators of Jan Bayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Bayer. Jan Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Korczyński, Maciej, et al.. (2025). Exposing the Roots of DNS Abuse: A Data-Driven Analysis of Key Factors Behind Phishing Domain Registrations. SPIRE - Sciences Po Institutional REpository. 618–632.
2.
Bayer, Jan, et al.. (2025). Short Path to Phishing: Identifying Misused URL Shortening Services in the Wild. SPIRE - Sciences Po Institutional REpository. 1–13.
3.
Bayer, Jan. (2023). Analysis suggestion for vehicle scanning method. Engineering Mechanics .... 39–42. 1 indexed citations
4.
Čížek, Petr, Jan Faigl, & Jan Bayer. (2017). Enhancing Neural Based Obstacle Avoidance with CPG Controlled Hexapod Walking Robot.. 65–70. 1 indexed citations
5.
Lewandowski, Daniel, Vilma Barroca, Frederic Ducongè, et al.. (2009). In vivo cellular imaging pinpoints the role of reactive oxygen species in the early steps of adult hematopoietic reconstitution. Blood. 115(3). 443–452. 107 indexed citations
6.
Schmitz, Annette, Jan Bayer, Nathalie Déchamps, Lynn R. Goldin, & Gilles Thomas. (2007). Heritability of Susceptibility to Ionizing Radiation-Induced Apoptosis of Human Lymphocyte Subpopulations. International Journal of Radiation Oncology*Biology*Physics. 68(4). 1169–1177. 38 indexed citations
7.
Bayer, Jan, et al.. (2006). Thematic workshop on fluorescence compensation settings in multicolor flow cytometry. Cytometry Part B Clinical Cytometry. 72B(1). 8–13. 26 indexed citations
8.
Tsinkalovsky, Oleg, Elisabeth Filipski, Robert B. Sothern, et al.. (2006). Circadian expression of clock genes in purified hematopoietic stem cells is developmentally regulated in mouse bone marrow. Experimental Hematology. 34(9). 1248–1260. 31 indexed citations
9.
Graakjær, Jesper, Héra Der‐Sarkissian, Annette Schmitz, et al.. (2006). Allele-specific relative telomere lengths are inherited. Human Genetics. 119(3). 344–350. 52 indexed citations
10.
Zeitoun, Guy, Bruno Buecher, Jan Bayer, et al.. (2005). Retention of chromosome arm 5q in stage II colon cancers identifies 83% of liver metastasis occurrences. Genes Chromosomes and Cancer. 45(1). 94–102. 8 indexed citations
11.
Schmitz, Annette, Jan Bayer, Nathalie Déchamps, & Gilles Thomas. (2003). Intrinsic susceptibility to radiation-induced apoptosis of human lymphocyte subpopulations. International Journal of Radiation Oncology*Biology*Physics. 57(3). 769–778. 67 indexed citations
12.
Manent, Jan, Ksénia Oguievetskaia, Jan Bayer, Nancy Ratner, & Marco Giovannini. (2003). Magnetic cell sorting for enriching Schwann cells from adult mouse peripheral nerves. Journal of Neuroscience Methods. 123(2). 167–173. 52 indexed citations
13.
Yakıcıer, M. Cengiz, Patricia Legoix, Christelle Vaury, et al.. (2001). Identification of homozygous deletions at chromosome 16q23 in Aflatoxin B1 exposed hepatocellular carcinoma. Oncogene. 20(37). 5232–5238. 45 indexed citations
14.
Legoix, Patricia, Olivier Bluteau, Jan Bayer, et al.. (1999). Beta-catenin mutations in hepatocellular carcinoma correlate with a low rate of loss of heterozygosity. Oncogene. 18(27). 4044–4046. 123 indexed citations
15.
Cohen‐Haguenauer, Odile, Jan Bayer, Liliane Dal Cortivo, et al.. (1998). Efficient Transduction of Hemopoietic CD34 + Progenitors of Human Origin Using an Original Retroviral Vector Derived from Fr-MuLV-FB29: In Vitro Assessment. Human Gene Therapy. 9(2). 207–216. 6 indexed citations
16.
17.
Visser, Jan, et al.. (1990). Culture of purified pluripotent haemopoietic stem cells.. PubMed. 352. 1–8. 6 indexed citations
18.
Bayer, Jan, Peter de Vries, Hans Herweijer, & J. G. J. Bauman. (1990). The use of E. coli exonuclease III to generate single stranded DNA in BrdUrd cell-cycle analysis permits simultaneous detection of cell surface antigens. Journal of Immunological Methods. 132(1). 13–24. 10 indexed citations
19.
Bayer, Jan & J. G. J. Bauman. (1990). Flow cytometric detection of β‐globin mRNA in murine haemopoietic tissues using fluorescent in situ hybridization. Cytometry. 11(1). 132–143. 20 indexed citations
20.
Bauman, J. G. J., Jan Bayer, & Herman van Dekken. (1990). Fluorescent in‐situ hybridization to detect cellular RNA by flow cytometry and confocal microscopy†. Journal of Microscopy. 157(1). 73–81. 41 indexed citations

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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