Marc Bayer

650 total citations · 1 hit paper
7 papers, 473 citations indexed

About

Marc Bayer is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Marc Bayer has authored 7 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Marc Bayer's work include Genomics and Chromatin Dynamics (5 papers), Chromatin Remodeling and Cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). Marc Bayer is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Chromatin Remodeling and Cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). Marc Bayer collaborates with scholars based in Germany, United States and Latvia. Marc Bayer's co-authors include Jean‐Yves Roignant, Tina Lenče, Junaid Akhtar, Burkhard Poeck, Miguel A. Andrade‐Navarro, Nastasja Kreim, Katharina Schmid, Cheuk Hei Ho, Mark Helm and Rudolf Grosschedl and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Marc Bayer

6 papers receiving 470 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

m6A modulates neuronal functions and sex determination in Drosophila

2016 425 citations Tina Lenče, Junaid Akhtar et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Bayer Germany	5	440	162	99	31	23	7	473
Vladimir Despic United States	5	468 1.1×	180 1.1×	69 0.7×	19 0.6×	13 0.6×	5	488
Dominika Hroššová Czechia	8	697 1.6×	262 1.6×	57 0.6×	34 1.1×	17 0.7×	8	721
Yuma Ishigami Japan	7	668 1.5×	232 1.4×	69 0.7×	44 1.4×	12 0.5×	9	700
Nhan van Tran France	7	544 1.2×	233 1.4×	72 0.7×	36 1.2×	11 0.5×	7	562
Seth D. Kasowitz United States	5	483 1.1×	236 1.5×	71 0.7×	21 0.7×	4 0.2×	7	508
Magdalena N. Wojtas Spain	6	425 1.0×	196 1.2×	64 0.6×	17 0.5×	7 0.3×	10	446
Yeek Teck Goh Singapore	8	518 1.2×	243 1.5×	60 0.6×	21 0.7×	4 0.2×	10	555
Dominik Jacob Germany	6	763 1.7×	365 2.3×	139 1.4×	47 1.5×	12 0.5×	8	782
Wang Jia-hua China	3	1.0k 2.4×	532 3.3×	178 1.8×	65 2.1×	18 0.8×	3	1.1k
Anna Uzonyi Israel	7	379 0.9×	104 0.6×	40 0.4×	22 0.7×	16 0.7×	10	393

Countries citing papers authored by Marc Bayer

Since Specialization

Citations

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

Fields of papers citing papers by Marc Bayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Bayer. A scholar is included among the top collaborators of Marc 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 Marc Bayer. Marc Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Bayer, Marc, Kristīne Salmiņa, Juris Jansons, et al.. (2025). Chemotherapy (Etoposide)-Induced Intermingling of Heterochromatin and Euchromatin Compartments in Senescent PA-1 Embryonal Carcinoma Cells. Cancers. 17(15). 2480–2480.

2.

Zolotarev, Nikolay, Yuanting Wang, Manyu Du, et al.. (2024). Regularly spaced tyrosines in EBF1 mediate BRG1 recruitment and formation of nuclear subdiffractive clusters. Genes & Development. 38(1-2). 4–10. 3 indexed citations

3.

Ma, Fei, Yaqiang Cao, Hansen Du, et al.. (2024). Three-dimensional chromatin reorganization regulates B cell development during ageing. Nature Cell Biology. 26(6). 991–1002. 12 indexed citations

4.

Bayer, Marc, Sören Boller, Nikolay Zolotarev, et al.. (2022). Tnpo3 enables EBF1 function in conditions of antagonistic Notch signaling. Genes & Development. 36(15-16). 901–915. 5 indexed citations

5.

Zolotarev, Nikolay, Marc Bayer, & Rudolf Grosschedl. (2022). EBF1 is continuously required for stabilizing local chromatin accessibility in pro-B cells. Proceedings of the National Academy of Sciences. 119(48). e2210595119–e2210595119. 6 indexed citations

6.

Ramamoorthy, Senthilkumar, Kohei Kometani, Josip S. Herman, et al.. (2020). EBF1 and Pax5 safeguard leukemic transformation by limiting IL-7 signaling, Myc expression, and folate metabolism. Genes & Development. 34(21-22). 1503–1519. 22 indexed citations

7.

Lenče, Tina, Junaid Akhtar, Marc Bayer, et al.. (2016). m6A modulates neuronal functions and sex determination in Drosophila. Nature. 540(7632). 242–247. 425 indexed citations breakdown →

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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