Mitko Madjunkov

472 total citations
13 papers, 234 citations indexed

About

Mitko Madjunkov is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mitko Madjunkov has authored 13 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 4 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mitko Madjunkov's work include Prenatal Screening and Diagnostics (7 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Reproductive Biology and Fertility (3 papers). Mitko Madjunkov is often cited by papers focused on Prenatal Screening and Diagnostics (7 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Reproductive Biology and Fertility (3 papers). Mitko Madjunkov collaborates with scholars based in Canada, United States and North Macedonia. Mitko Madjunkov's co-authors include Clifford Librach, Michal Dviri, Shinya Ito, Svetlana Madjunkova, Rajiv C. McCoy, Darren K. Griffin, Andrea R. Victor, Nasser Al‐Asmar, Kire Trivodaliev and Manuel Viotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genome Research and Human Reproduction.

In The Last Decade

Mitko Madjunkov

8 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitko Madjunkov Canada 5 67 65 60 51 42 13 234
Luis Rodríguez Mexico 10 16 0.2× 78 1.2× 78 1.3× 4 0.1× 12 0.3× 30 301
Dayna R Clark United States 4 54 0.8× 21 0.3× 43 0.7× 5 0.1× 9 0.2× 6 146
Allison M. Felker Canada 8 119 1.8× 42 0.6× 47 0.8× 64 1.5× 15 329
Cathy Watson Australia 11 20 0.3× 33 0.5× 68 1.1× 1 0.0× 14 0.3× 26 295
Tara I. McIntyre United States 11 28 0.4× 20 0.3× 172 2.9× 2 0.0× 6 0.1× 15 334
F. S. Stewart Ireland 8 25 0.4× 27 0.4× 142 2.4× 3 0.1× 49 1.2× 15 232
B. A. Ramalakshmi India 11 63 0.9× 50 0.8× 46 0.8× 1 0.0× 10 0.2× 24 317
Samad Ibitokou France 12 63 0.9× 37 0.6× 180 3.0× 1 0.0× 4 0.1× 22 313
Nadia Prisant France 9 29 0.4× 64 1.0× 291 4.8× 180 4.3× 17 442
J. B. Moody United Kingdom 11 10 0.1× 42 0.6× 151 2.5× 4 0.1× 21 507

Countries citing papers authored by Mitko Madjunkov

Since Specialization
Citations

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

Fields of papers citing papers by Mitko Madjunkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitko Madjunkov

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

All Works

13 of 13 papers shown
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Madjunkova, Svetlana, et al.. (2023). Aberrant landscapes of maternal meiotic crossovers contribute to aneuploidies in human embryos. Genome Research. 34(1). 70–84. 6 indexed citations
6.
Dviri, Michal, Mitko Madjunkov, Amir A. Kuperman, et al.. (2023). P-801 Human umbilical cord perivascular cells (HUCPVC) reduce ovarian fibrosis and improve pregnancy rates in a mouse model of natural ovarian aging. Human Reproduction. 38(Supplement_1). 1 indexed citations
7.
Madjunkov, Mitko, et al.. (2021). INTRA-PATIENT INTER-CYCLE VARIATION ANALYSIS - DOES THE OUTCOME OF A PRIOR IVF CYCLE PREDICT THE OUTCOME OF SUBSEQUENT CYCLE(S)?. Fertility and Sterility. 116(3). e234–e234. 1 indexed citations
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Viotti, Manuel, Rajiv C. McCoy, Darren K. Griffin, et al.. (2021). Let the data do the talking: the need to consider mosaicism during embryo selection. Fertility and Sterility. 116(5). 1212–1219. 24 indexed citations
9.
Madjunkov, Mitko, Michal Dviri, & Clifford Librach. (2020). A comprehensive review of the impact of COVID-19 on human reproductive biology, assisted reproduction care and pregnancy: a Canadian perspective. Journal of Ovarian Research. 13(1). 140–140. 99 indexed citations
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Dviri, Michal, Svetlana Madjunkova, Alex Koziarz, et al.. (2020). Is there an association between paternal age and aneuploidy? Evidence from young donor oocyte-derived embryos: a systematic review and individual patient data meta-analysis. Human Reproduction Update. 27(3). 486–500. 19 indexed citations
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Madjunkov, Mitko, et al.. (2017). Listeriosis during pregnancy. Archives of Gynecology and Obstetrics. 296(2). 143–152. 80 indexed citations
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Horst, Peter G. J. ter, et al.. (2016). Alcohol: A Pharmaceutical and Pharmacological Point of View During Lactation.. PubMed. 23(2). e145–50. 2 indexed citations
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Plaseska‐Karanfilska, Dijana, et al.. (2012). Rapid and non Invasive Prenatal Diagnosis. SHILAP Revista de lepidopterología. 15(Supplement). 39–43. 2 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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2026