Udo R. Markert

7.1k total citations
216 papers, 5.4k citations indexed

About

Udo R. Markert is a scholar working on Immunology, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Udo R. Markert has authored 216 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Immunology, 81 papers in Obstetrics and Gynecology and 40 papers in Molecular Biology. Recurrent topics in Udo R. Markert's work include Reproductive System and Pregnancy (102 papers), Pregnancy and preeclampsia studies (71 papers) and Endometriosis Research and Treatment (30 papers). Udo R. Markert is often cited by papers focused on Reproductive System and Pregnancy (102 papers), Pregnancy and preeclampsia studies (71 papers) and Endometriosis Research and Treatment (30 papers). Udo R. Markert collaborates with scholars based in Germany, Austria and Netherlands. Udo R. Markert's co-authors include Diana M. Morales‐Prieto, E Schleußner, Wittaya Chaiwangyen, Stephanie Ospina‐Prieto, Justine S. Fitzgerald, André Schmidt, Jana Pastuschek, J.S. Fitzgerald, Tobias G. Poehlmann and Rodolfo R. Fávaro and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Udo R. Markert

210 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Udo R. Markert Germany 39 2.7k 2.1k 1.4k 912 868 216 5.4k
J. Dietl Germany 42 2.4k 0.9× 1.1k 0.5× 1.6k 1.2× 825 0.9× 1.0k 1.2× 229 5.8k
Surendra Sharma United States 45 3.6k 1.3× 2.9k 1.4× 1.4k 1.0× 478 0.5× 1.3k 1.5× 144 6.6k
Da‐Jin Li China 47 4.8k 1.7× 2.6k 1.2× 1.2k 0.9× 450 0.5× 1.3k 1.5× 244 7.0k
Liping Jin China 37 2.7k 1.0× 1.4k 0.7× 851 0.6× 380 0.4× 745 0.9× 139 4.5k
Akitoshi Nakashima Japan 37 3.2k 1.2× 2.5k 1.1× 870 0.6× 439 0.5× 1.5k 1.7× 115 5.3k
Yali Hu China 46 2.2k 0.8× 2.7k 1.3× 2.4k 1.8× 1.9k 2.1× 953 1.1× 298 7.9k
Francisco Domı́nguez Spain 42 1.8k 0.7× 937 0.4× 730 0.5× 371 0.4× 1.2k 1.3× 156 4.6k
Seth Guller United States 45 3.2k 1.2× 2.9k 1.4× 1.1k 0.8× 389 0.4× 1.4k 1.6× 130 6.7k
Larry Chamley New Zealand 53 3.2k 1.2× 3.9k 1.8× 2.1k 1.5× 590 0.6× 1.2k 1.3× 206 8.2k
Umit A. Kayisli United States 40 2.2k 0.8× 1.9k 0.9× 893 0.7× 274 0.3× 965 1.1× 141 4.5k

Countries citing papers authored by Udo R. Markert

Since Specialization
Citations

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

Fields of papers citing papers by Udo R. Markert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Udo R. Markert. 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 Udo R. Markert. The network helps show where Udo R. Markert may publish in the future.

Co-authorship network of co-authors of Udo R. Markert

This figure shows the co-authorship network connecting the top 25 collaborators of Udo R. Markert. A scholar is included among the top collaborators of Udo R. Markert 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 Udo R. Markert. Udo R. Markert 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.
Štaud, František, et al.. (2023). Characterization of a human placental clearance system to regulate serotonin levels in the fetoplacental unit. Reproductive Biology and Endocrinology. 21(1). 74–74. 5 indexed citations
2.
Morales‐Prieto, Diana M., et al.. (2023). Transplacental migration of maternal natural killer and T cells assessed by ex vivo human placenta perfusion. Placenta. 146. 42–49. 1 indexed citations
3.
Hufsky, Franziska, et al.. (2022). The Role of Non-Coding RNAs in the Human Placenta. Cells. 11(9). 1588–1588. 12 indexed citations
4.
Luconi, Michaela, Miguel Á. Sogorb, Udo R. Markert, et al.. (2022). Human-Based New Approach Methodologies in Developmental Toxicity Testing: A Step Ahead from the State of the Art with a Feto–Placental Organ-on-Chip Platform. International Journal of Environmental Research and Public Health. 19(23). 15828–15828. 11 indexed citations
5.
Markert, Udo R., P Reif, W Schoell, et al.. (2022). The fate of human SUSD2+ endometrial mesenchymal stem cells during decidualization. Stem Cell Research. 60. 102671–102671. 9 indexed citations
6.
Markert, Udo R., Júlia Szekeres‐Barthó, & E Schleußner. (2021). Adverse effects on female fertility from vaccination against COVID-19 unlikely. Journal of Reproductive Immunology. 148. 103428–103428. 8 indexed citations
7.
Pastuschek, Jana, José M. Murrieta-Coxca, Berthold Huppertz, et al.. (2021). Molecular characteristics of established trophoblast-derived cell lines. Placenta. 108. 122–133. 37 indexed citations
8.
Morales‐Prieto, Diana M., et al.. (2021). Smoking for two- effects of tobacco consumption on placenta. Molecular Aspects of Medicine. 87. 101023–101023. 23 indexed citations
9.
10.
Fávaro, Rodolfo R., et al.. (2020). Immunomodulatory properties of extracellular vesicles in the dialogue between placental and immune cells. American Journal of Reproductive Immunology. 85(2). e13383–e13383. 19 indexed citations
11.
Ji, Jinlu, Rowena Schultz, Martin Hammer, et al.. (2020). Enrichment and characterization of extracellular vesicles from ex vivo one‐sided human placenta perfusion. American Journal of Reproductive Immunology. 86(2). 6 indexed citations
12.
Murrieta-Coxca, José M., Sandra Rodríguez–Martínez, Mario E. Cancino‐Díaz, et al.. (2019). IL-36 Cytokines: Regulators of Inflammatory Responses and Their Emerging Role in Immunology of Reproduction. International Journal of Molecular Sciences. 20(7). 1649–1649. 64 indexed citations
13.
Buse, Eberhard & Udo R. Markert. (2019). The immunology of the macaque placenta: A detailed analysis and critical comparison with the human placenta. Critical Reviews in Clinical Laboratory Sciences. 56(2). 118–145. 8 indexed citations
14.
Morales‐Prieto, Diana M., et al.. (2018). Comparison of dienogest effects upon 3,3′–diindolylmethane supplementation in models of endometriosis and clinical cases. Reproductive Biology. 18(3). 252–258. 17 indexed citations
15.
Groten, Tanja, et al.. (2018). Human placentophagy: Effects of dehydration and steaming on hormones, metals and bacteria in placental tissue. Placenta. 67. 8–14. 11 indexed citations
16.
Ospina‐Prieto, Stephanie, Wittaya Chaiwangyen, Jörg Herrmann, et al.. (2016). MicroRNA-141 is upregulated in preeclamptic placentae and regulates trophoblast invasion and intercellular communication. Translational research. 172. 61–72. 112 indexed citations
17.
Franz, Cordula, Anita N. Böing, Markus Montag, et al.. (2016). Extracellular vesicles in human follicular fluid do not promote coagulation. Reproductive BioMedicine Online. 33(5). 652–655. 13 indexed citations
18.
Schmidt, André, et al.. (2015). Only humans have human placentas: molecular differences between mice and humans. Journal of Reproductive Immunology. 108. 65–71. 168 indexed citations
19.
Chaiwangyen, Wittaya, et al.. (2015). Dissimilar microRNA-21 functions and targets in trophoblastic cell lines of different origin. The International Journal of Biochemistry & Cell Biology. 68. 187–196. 31 indexed citations
20.
Hoyer, Heike, et al.. (2014). Placental immune response to apple allergen in allergic mothers. Journal of Reproductive Immunology. 106. 100–109. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J. Dietl Breakdown of academic impact, for papers by Surendra Sharma Breakdown of academic impact, for papers by Da‐Jin Li Breakdown of academic impact, for papers by Liping Jin Breakdown of academic impact, for papers by Akitoshi Nakashima Breakdown of academic impact, for papers by Yali Hu Breakdown of academic impact, for papers by Francisco Domı́nguez Breakdown of academic impact, for papers by Seth Guller Breakdown of academic impact, for papers by Larry Chamley Breakdown of academic impact, for papers by Umit A. Kayisli
Rankless by CCL
2026