Nadja Bogdanova

2.1k total citations
40 papers, 1.3k citations indexed

About

Nadja Bogdanova is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Nadja Bogdanova has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Hematology and 13 papers in Genetics. Recurrent topics in Nadja Bogdanova's work include Blood Coagulation and Thrombosis Mechanisms (13 papers), Genetic and Kidney Cyst Diseases (10 papers) and Pregnancy and preeclampsia studies (9 papers). Nadja Bogdanova is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (13 papers), Genetic and Kidney Cyst Diseases (10 papers) and Pregnancy and preeclampsia studies (9 papers). Nadja Bogdanova collaborates with scholars based in Germany, United States and Bulgaria. Nadja Bogdanova's co-authors include Arseni Markoff, Roser Torrá, Eliécer Coto, David Ravine, Marjan A. van Dijk, Nick Hateboer, Anand K Saggar‐Malik, Martijn H. Breuning, J L San Millán and Frank Tüttelmann and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Kidney International.

In The Last Decade

Nadja Bogdanova

40 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadja Bogdanova Germany 18 855 823 299 157 129 40 1.3k
Ryuji Fukuzawa Japan 22 276 0.3× 870 1.1× 20 0.1× 163 1.0× 39 0.3× 68 1.2k
Van den Berghe H Belgium 13 257 0.3× 267 0.3× 87 0.3× 98 0.6× 33 0.3× 45 562
B. Le Marec France 19 474 0.6× 506 0.6× 58 0.2× 150 1.0× 33 0.3× 67 1.0k
Julia Hoefele Germany 18 975 1.1× 1.1k 1.3× 81 0.3× 290 1.8× 16 0.1× 65 1.5k
Irfan Saadi United States 18 347 0.4× 623 0.8× 69 0.2× 75 0.5× 25 0.2× 36 1.1k
Tino D. Piscione Canada 16 252 0.3× 829 1.0× 13 0.0× 175 1.1× 43 0.3× 21 1.1k
Christina Evers Germany 16 274 0.3× 293 0.4× 71 0.2× 53 0.3× 37 0.3× 33 743
Sevilhan Artan Türkiye 18 187 0.2× 308 0.4× 35 0.1× 104 0.7× 43 0.3× 84 760
Jingdong Shan Finland 18 278 0.3× 626 0.8× 13 0.0× 80 0.5× 69 0.5× 30 919
Adriano Angioni Italy 21 435 0.5× 739 0.9× 106 0.4× 95 0.6× 73 0.6× 56 1.3k

Countries citing papers authored by Nadja Bogdanova

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Bogdanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Bogdanova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Bogdanova. A scholar is included among the top collaborators of Nadja Bogdanova 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 Nadja Bogdanova. Nadja Bogdanova 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.
Bogdanova, Nadja, et al.. (2019). Association between M2/ANXA5 haplotype and repeated pregnancy loss: a meta-analysis. Fertility and Sterility. 111(5). 971–981.e2. 8 indexed citations
2.
Markoff, Arseni, et al.. (2019). The relevance of ANXA5 genetic variants on male fertility. Journal of Assisted Reproduction and Genetics. 36(7). 1355–1359. 2 indexed citations
3.
Udry, Sebastián, et al.. (2018). Maternal carriers of the ANXA5 M2 haplotype are exposed to a greater risk for placenta-mediated pregnancy complications. Journal of Assisted Reproduction and Genetics. 35(5). 921–928. 10 indexed citations
4.
Bartha, L., Dirk Deuster, Rainer Seidl, et al.. (2016). Intrafamilial phenotypic variability of Specific Language Impairment. Brain and Language. 159. 102–108. 2 indexed citations
5.
Bogdanova, Nadja, et al.. (2015). M2/ANXA5 haplotype as a predisposition factor in Malay women and couples experiencing recurrent spontaneous abortion: a pilot study. Reproductive BioMedicine Online. 30(4). 434–439. 11 indexed citations
6.
Consugar, Mark, Jamie L. Sundsbak, Christina M. Heyer, et al.. (2013). Evidence of a third ADPKD locus is not supported by re-analysis of designated PKD3 families. Kidney International. 85(2). 383–392. 25 indexed citations
7.
Tüttelmann, Frank, P Ivanov, Regina Komsa‐Penkova, et al.. (2013). Further insights into the role of the annexin A5 M2 haplotype as recurrent pregnancy loss factor, assessing timing of miscarriage and partner risk. Fertility and Sterility. 100(5). 1321–1325. 24 indexed citations
8.
Rogenhofer, Ni na, et al.. (2013). Independent association of the M2/ANXA5 haplotype with recurrent pregnancy loss (RPL) in PCOS patients. Metabolism. 62(8). 1057–1060. 11 indexed citations
9.
Rogenhofer, Ni na, et al.. (2013). The haplotype M2 of the ANXA5 gene is not associated with antitrophoblast antibodies. Journal of Assisted Reproduction and Genetics. 30(5). 711–716. 5 indexed citations
10.
Bogdanova, Nadja & Arseni Markoff. (2010). Hereditary thrombophilic risk factors for recurrent pregnancy loss. Journal of Community Genetics. 1(2). 47–53. 23 indexed citations
11.
Markoff, Arseni, et al.. (2010). Reduced allele specific annexin A5 mRNA levels in placentas carrying the M2/ANXA5 allele. Placenta. 31(10). 937–940. 37 indexed citations
12.
Kirsch, Stefan, Juan J. Pasantes, Nadja Bogdanova, et al.. (2009). Correction: Chromosomal evolution of the PKD1 gene family in primates (vol 8, pg 263, 2008). BMC Evolutionary Biology. 2 indexed citations
13.
Тодорова, Албена, Bilyana Georgieva, Ivailo Tournev, et al.. (2007). A large deletion and novel point mutations in the calpain 3 gene (CAPN3) in Bulgarian LGMD2A patients. Neurogenetics. 8(3). 225–229. 23 indexed citations
14.
Bogdanova, Nadja, Arseni Markoff, Ulrike Nowak‐Göttl, et al.. (2005). Spectrum of molecular defects and mutation detection rate in patients with severe hemophilia A. Human Mutation. 26(3). 249–254. 34 indexed citations
15.
Bogdanova, Nadja, Arseni Markoff, Ulrike Nowak‐Göttl, et al.. (2002). Prevalence of small rearrangements in the factor VIII gene F8C among patients with severe hemophilia A. Human Mutation. 20(3). 236–237. 13 indexed citations
16.
Hunter, Michael, Janina Hantke, Dora Angelicheva, et al.. (2002). Mutation detection in the duplicated region of the polycystic kidney disease 1 (PKD1) gene in PKD1-linked Australian families. Human Mutation. 19(3). 240–250. 6 indexed citations
17.
Bogdanova, Nadja, Arseni Markoff, & Jürgen Horst. (2002). Autosomal Dominant Polycystic Kidney Disease – Clinical and Genetic Aspects. Kidney & Blood Pressure Research. 25(5). 265–283. 13 indexed citations
18.
19.
Veldhuisen, Barbera, Jasper J. Saris, Simone de Haij, et al.. (1997). A Spectrum of Mutations in the Second Gene for Autosomal Dominant Polycystic Kidney Disease (PKD2). The American Journal of Human Genetics. 61(3). 547–555. 77 indexed citations
20.
Bogdanova, Nadja, Bernd Dworniczak, Vladimir Todorov, et al.. (1995). Genetic heterogeneity of polycystic kidney disease in Bulgaria. Human Genetics. 95(6). 645–50. 55 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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